• AI
  • AI Credits This product is currently unavailable on the US-FED site.
  • Agent Observability This product is currently unavailable on the US-FED site.
• Infrastructure
  • Infrastructure
  • Storage Management This product is currently unavailable on the US-FED site.
  • Edge Device Monitoring
  • Kubernetes Autoscaling This product is currently unavailable on the US-FED site.
  • Serverless Monitoring
  • Network Monitoring
  • Datadog Disaster Recovery This product is currently unavailable on the US-FED site.
  • Cloud Cost Management
• Applications
  • Application Performance Monitoring
  • Managed Platform OTLP
  • Serverless Monitoring
  • Universal Service Monitoring This product is currently unavailable on the US-FED site.
  • Data Streams Monitoring This product is currently unavailable on the US-FED site.
  • Database Monitoring
• Data Observability
  • Jobs Monitoring This product is currently unavailable on the US-FED site.
  • Quality Monitoring This product is currently unavailable on the US-FED site.
• Logs
  • Log Management
  • Error Tracking
  • Sensitive Data Scanner
  • Audit Trail
  • Observability Pipelines This product is currently unavailable on the US-FED site.
  • Archive Search
• Security
  • Workload Protection
  • Cloud SIEM
  • Cloud Security
  • App and API Protection This product is currently unavailable on the US-FED site.
  • Code Security This product is currently unavailable on the US-FED site.
• Digital Experience
  • Error Tracking
  • Product Analytics This product is currently unavailable on the US-FED site.
  • Experiments This product is currently unavailable on the US-FED site.
  • Real User Monitoring & Session Replay
  • Synthetic Testing & Monitoring
• Software Delivery
  • Code Coverage This product is currently unavailable on the US-FED site.
  • Feature Flags This product is currently unavailable on the US-FED site.
  • CI Pipeline Visibility This product is currently unavailable on the US-FED site.
  • Continuous Testing This product is currently unavailable on the US-FED site.
  • Test Optimization This product is currently unavailable on the US-FED site.
• Service Management
  • App Builder This product is currently unavailable on the US-FED site.
  • Incident Response
  • Event Management This product is currently unavailable on the US-FED site.
  • Workflow Automation This product is currently unavailable on the US-FED site.

Starting At

• Explore telemetry and take action faster with Bits Chat

• Reduce MTTR with automated investigations from Bits Investigation

• Fix and deploy code autonomously with Bits Code

• Create custom AI agents for your operational workflows with Bits Agent Builder

*Billed annually or $1.30 per credit on-demand.

Starting At

• Gain unified visibility into test coverage across every repository

• Enforce consistent testing standards with automated PR quality gates

• Improve test reliability with context-driven insights

*Billed annually or $12 on-demand

• View test coverage for lines, files, and branches across mono- and multi-repo codebases

• Surface untested code with line-level annotations

• Monitor how coverage evolves across commits and branches

• Enforce coverage thresholds to block untested code from merging

• Surface coverage results directly in pull request comments for faster fixes

• Use Bits AI Dev Agent to generate targeted test suggestions for uncovered code

Ingest

Starting At

Ingest, process, enrich, live tail, and archive all your logs

• Out-of-the-box parsing for 200+ log sources

• Enrich and tag your logs for RBAC, cost control and usage allocation

• Generate log-based metrics for long term analysis

• Self-hosted archives, with the option to ad-hoc rehydrate back to Datadog

• Dynamic routing to desired retention tier options

*Per GB of uncompressed data ingested for processing, or compressed data scanned for rehydrating.
**Billed annually or $0.10 on-demand

Standard Indexing

For real-time exploration, alerting, and dashboards with mission-critical logs

• Prioritize logs for critical investigations

• Build log alerts with Log Monitors

• Detect log anomalies proactively with Watchdog Insights

• Best suited for frequently accessed logs i.e. infrastructure, application, operational logs

*Billed annually or $2.55 on-demand

Ingest

Starting At

Ingest, process, enrich, live tail, and archive all your logs

• Out-of-the-box parsing for 200+ log sources

• Enrich and tag your logs for RBAC, cost control and usage allocation

• Generate log-based metrics for long term analysis

• Self-hosted archives, with the option to ad-hoc rehydrate back to Datadog

• Dynamic routing to desired retention tier options

*Per GB of uncompressed data ingested for processing, or compressed data scanned for rehydrating.
**Billed annually or $0.10 on-demand

Flex Storage

Starting At

For historical investigations or security, audit, and compliance use cases

• Flexible long-term retention up to 15 months without the need to rehydrate

• Increased ROI on high-volume logs

• Correlate with metrics and traces for deeper analysis

• Best suited for infrequently accessed logs

*Minimum retention of 1 month up to 15 months
**Billed annually or $0.075 on-demand

Flex Compute

Multiple preconfigured compute options to suit your search and analytics workloads

• Easily search for logs stored in both Standard and Flex Tier

• Datadog-managed compute infrastructure

• Scale up or down based on your query use cases

• Customize compute choices based on business priority and environment i.e. staging, production

Flex Logs Starter

Starting At

For historical investigations and long-term retention

• Retention options of 3 months, 6 months, 12 months, and 15 months

• Bundled Starter Compute for log volumes below 2B per month (10B total stored)

• Easily search for logs stored in both Standard and Flex Tier without the need to rehydrate

• Best suited for infrequently accessed logs that need to be retained for longer periods

*Minimum retention of 3 months, options for 6, 12, and 15 months
**Billed annually or $0.90 on-demand

Multi-Year/Volume discounts available (3B+ events/mo)

Log Forwarding to Custom Destinations

Starting At

Centralize your log processing, enrichment and routing to multiple destinations

• Forward your logs in real-time to any destination in just a few clicks

• Collect, transform, and route logs to multiple destinations without the need to index

• Low-latency, cloud scale throughput

• RBAC-enabled

*Per GB of uncompressed data forwarded per destination

• Unlimited Sources

• Faceted & Full-text Search

• 1,000+ vendor-backed integrations

• Custom Processing & Parsers

• Log Analytics and Dashboarding

• Log Anomaly Detection

• Supports PCI and HIPAA compliance

• Fully integrated with Datadog role-based access control (RBAC)

• Enterprise-Grade Security

• Unlimited User Accounts

• Real-time Alerting

• Logging without Limits™

• Log-based custom metrics

• Archive to AWS S3, Azure Blob Storage,
  and Google Cloud Storage

• Log Rehydration™ from AWS S3, Azure Blob Storage, and Google Cloud Storage

When Combined with Other Plans

• Automated Infrastructure Tags

• Pivot seamlessly to Infrastructure and APM

Service and Support

• Technical support across chat and email

• Community Forum and Online Docs

• Plans with the right level of support for your organization

• Decouple deployment from release to safely control when and how changes reach users

• Target specific user and service cohorts to control exposure by environment or traffic segment

• Automate risk mitigation with telemetry-driven canary rollouts with automatic rollbacks

• Gain instant visibility into release impact by correlating feature flags with service health

*Pricing is based on usage per 1 million Monthly Flag Configuration Requests (MFCRs). Usage below 1 million monthly flag configuration requests is included at no cost.
**Billed annually or $100 on-demand

• Progressive and canary rollouts powered by Datadog APM, RUM, and Product Analytics

• Automated rollbacks and circuit breakers triggered by real-time observability metrics

• End-to-end visibility into feature impact, with flag context embedded directly in traces and user sessions

• Precise targeting and dynamic configuration across users, services, and environments

• Built-in governance and lifecycle management, including automated detection and cleanup of stale flags

Free

Starting At

Core collection and visualization features

• 1-day metric retention

• Up to 5 hosts

Pro

Starting At

Centralize your monitoring of systems, services, and serverless functions

• 1,000+ integrations

• Out-of-the-box dashboards

• 15-month metric retention

*Billed annually or $18 on-demand

Enterprise

Starting At

Advanced features and administrative controls

• Machine learning-based alerts

• Live Processes

• Governance Console

*Billed annually or $27 on-demand

Starting At

*Billed annually or $27 on-demand

DevSecOps Pro

Starting At

Secure your cloud resources and adhere to industry standards

Includes all features in Infrastructure Pro and Cloud Security Management (CSM) Pro

• Cloud Security Posture Management (CSPM)

• Kubernetes Security Posture Management (KSPM)

• Built-in mapping of your resources to compliance frameworks to help with audits

• Vulnerability Management (VM) for Containers & Hosts

• Cloud Infrastructure Entitlement Management (CIEM)

• Comprehensive inventory of cloud resources & linked risks

*Billed annually or $27 on-demand

DevSecOps Enterprise

Starting At

Advanced risk and threat detection capabilities

Includes all features in Infrastructure Enterprise and Cloud Security Management (CSM) Enterprise

• File integrity monitoring

• Workload Protection for Linux, Windows Kubernetes, and Docker

• Increased container allotment (10 containers allotted per host license**)

*Billed annually or $41 on-demand

APM

Starting At

Resolve issues faster with end-to-end distributed traces and service health metrics

• Automatic service discovery and dependency mapping (Universal Service Monitoring)

• 15-minute live trace search & analytics

• 15-day historical search & analytics

• RED metrics based on 100% of traffic with 15-month retention

• Correlate traces with metrics, logs, processes, network data, and more

*With Infrastructure Monitoring attached: billed annually or $48 on-demand

APM Pro

Starting At

Track and improve the performance of your streaming data pipelines end to end

Everything included in APM, plus Data Streams Monitoring:

• Automatic dependency mapping of all queues, consumers, and producers

• End-to-end pipeline latency and consumer lag metrics

• Faulty queue detection

*With Infrastructure Monitoring attached: billed annually or $54 on-demand

APM Enterprise

Starting At

Optimize code performance in production with minimal overhead

Everything included in APM Pro, plus Continuous Profiler:

• Code-level tracing including wall, lock, CPU, and I/O time

• CPU and memory code profiles for resource and cost optimization

• Code performance comparisons across versions

• Actionable insights with automatic code analysis

*With Infrastructure Monitoring attached: billed annually or $60 on-demand

What counts as a billable APM host?

A billable APM host is a host that is actively generating traces that are submitted to the Datadog SaaS application, including, but not limited to, an OpenTelemetry Collector. This means that hosts running services that are not instrumented (e.g. databases, caches, queues and load-balancers) and are not generating traces submitted to the Datadog platform do not count as APM hosts even if APM is enabled on them.

Do I need Infrastructure Monitoring to use APM, APM Pro, or APM Enterprise?

No. APM, APM Pro, and APM Enterprise can be purchased standalone and do not require Infrastructure Monitoring. Standalone pricing is $36 for APM, $41 for APM Pro, and $47 for APM Enterprise, priced per host, per month, billed annually and available on-demand.

Is Pro or Enterprise Infrastructure Monitoring required on every APM Host?

Only if you purchase APM using the Infrastructure Monitoring pricing model. In this case, every host running APM must also be subscribed to Pro or Enterprise Infrastructure Monitoring. For example, if you have 10 APM hosts, those same 10 hosts must have Pro or Enterprise Infrastructure Monitoring. This requirement applies to both committed and on-demand usage for all non-standalone APM tiers.

I am an existing APM customer. Can I switch to the APM Pro or APM Enterprise?

Yes. Existing APM customers have the option of changing their plan to APM Pro or APM Enterprise. Contact your Sales or Customer Success rep for help.

Can I purchase a mix of APM, APM Pro, and APM Enterprise hosts?

No. Customers can commit to only one of the plans across all their APM hosts, not a combination thereof.

Does a purchase of APM host include Universal Service Monitoring (USM) on that same host?

Yes. USM is included on the same host APM is purchased on, regardless of the APM tier. This means that Datadog will always discover, map, and monitor every new and/or non-instrumented service running on your APM hosts, automatically.

If I’m an existing USM customer and start using APM on the same host, will I be charged for both products?

No. If both USM and APM are purchased and/or installed on the same host, you will only pay the APM price on the host, based on your APM tier.

What languages does APM support?

Java, Python, Ruby, Go, Node, .NET and PHP. You can find the full list of supported languages and libraries in our documentation.

Can I add custom instrumentation on top of Datadog’s out-of-the-box instrumentation?

Yes. We provide auto-instrumentation for popular libraries and frameworks, but you can easily add custom instrumentation if desired.

Can I run APM with containers?

Yes, you can run APM in a containerized environment. The number of containers running on each host (node) does not impact the APM host-based price.

What is the difference between ingestion and retention?

Ingestion means sending your traces to Datadog and having all of them available for Live Search and Analytics for 15 minutes. Retention means storing your most important traces (e.g. error, high latency, or business-critical ones) and making them available for search and analysis during a retention period of your choice (15 days by default).

Can I ingest additional spans?

Yes. While we include 150GB per APM host by default for Ingested Spans, you can always ingest additional traces and spans for 15-minute live trace search and analytics at $0.10/GB.

Note: The allotted 150GB per host is summed over all the APM hosts. For example, if in a given month you have 2 APM hosts and one ingests 250GBs and the other 50GBs (300GB in total), you will not be billed for ingestion that month.

Can I retain (index) additional spans and modify the retention period?

Yes. While we include 1 million Indexed Spans per APM host with 15-day retention by default, you can always retain additional spans.

For additional Indexed Spans, we offer the following retention periods:

• 7-day retention at $1.27 per million spans per month (billed annually or $1.91 on-demand)
• 15-day retention at $1.70 per million spans per month (billed annually or $2.55 on-demand)
• 30-day retention at $2.50 per million spans per month (billed annually or or $3.75 on-demand)

If you need longer retention, please reach out to your Customer Success or Sales rep to customize your plan.

Note 1: The allotted 1 million Indexed Spans per host is summed across all your APM hosts. For example, if in a given month you have 2 APM hosts and you index 1.5 million spans from one and 0.5 million from the other (2 million in total), you will not be billed for indexing that month.

Note 2: Indexed Spans that are auto-retained by Datadog do not count towards the 1 million Indexed Spans that are allotted per host.

How does on-demand billing of ingested and indexed spans differ from my committed plan?

On-demand use of APM is counted on an hourly basis. Both ingested and indexed span allotment are metered each hour and are not aggregated across all use throughout the month.

This means that ingested and indexed span use that goes over the associated APM Host allotment in the same hour will increase billing regardless of span use during other times.

What are the hourly span allotments and on-demand pricing?

For every host hour, customers get an hourly allotment corresponding to a share of the monthly allotment (150 GB for ingested spans and 1M indexed) split evenly by hour by month in the current year. For example, in January, for every host hour, customers get an allotment of 0.205 GB (150 GB / (365 * 24 / 12)) for ingested spans and 1369 indexed spans (1 M / (365 * 24 / 12)).

For additional volume, in a given hour, customers will be charged $0.10 per additional GB of ingested spans and the indexed spans rate for every additional 1M indexed spans.

Do I have to ingest and/or retain 100% of my traces?

No. Updates to trace ingestion and retention can be made directly in the UI giving customers full control over their data and costs. For additional information, view the Ingestion Controls and Trace Retention documentation.

Does trace sampling impact the accuracy of RED metrics?

No, the listed APM price includes RED metrics (requests, errors, duration). Regardless of any sampling rate (default or custom), RED metrics are always calculated based on 100% of application traffic.

How are span-based metrics billed?

Span-based metrics are counted towards your Custom Metrics allocation as outlined in your infrastructure plan.

Are there other billing options?

Annual, monthly and hourly plans are available. We can customize billing plans to meet your needs. For a detailed explanation of billing, please see our Billing FAQ.

Can I run APM with Mobile Devices (Android, IoS etc.,)?

Yes, We have the Tracing Libraries that support Android and iOS applications. Running the Datadog Agent is not required for Mobile Devices. The APM price is based on the ingested and indexed spans volume (note: by default, spans are indexed for 15 days).

Can I use APM on Edge Devices?

APM is available for Edge Devices, such as Point of Sale (POS) systems, in-store kiosks, industrial devices, and entertainment systems. The same APM features are included, at a reduced price per device with lower ingest and retention allotments. Please contact your Customer Success or Sales rep with details of your use case.

What counts as a billable APM host?

A billable APM host is a host that is actively generating traces that are submitted to the Datadog SaaS application, including, but not limited to, an OpenTelemetry Collector. This means that hosts running services that are not instrumented (e.g. databases, caches, queues and load-balancers) and are not generating traces submitted to the Datadog platform do not count as APM hosts even if APM is enabled on them.

Do I need Infrastructure Monitoring to use APM, APM Pro, or APM Enterprise?

No. APM, APM Pro, and APM Enterprise can be purchased standalone and do not require Infrastructure Monitoring. Standalone pricing is $36 for APM, $41 for APM Pro, and $47 for APM Enterprise, priced per host, per month, billed annually and available on-demand.

Is Pro or Enterprise Infrastructure Monitoring required on every APM Host?

Only if you purchase APM using the Infrastructure Monitoring pricing model. In this case, every host running APM must also be subscribed to Pro or Enterprise Infrastructure Monitoring. For example, if you have 10 APM hosts, those same 10 hosts must have Pro or Enterprise Infrastructure Monitoring. This requirement applies to both committed and on-demand usage for all non-standalone APM tiers.

What is Data Streams Monitoring and how does it work?

Datadog Data Streams Monitoring (DSM) allows you to track and improve the performance of event-driven applications that use Kafka and RabbitMQ. DSM automatically maps dependencies between all services and queues, measures latency between them, and provides additional health metrics, such as consumer lag, across your streaming data pipeline to help you monitor it end to end.

What counts as a billable DSM host?

A billable Data Streams Monitoring host is a host that has the Datadog Agent installed and producer and consumer services that are running on it and instrumented for DSM. Visit our documentation for additional setup information.

What kind of billing plan do I need to run Data Streams Monitoring?

Every billable DSM host requires the purchase of Pro or Enterprise Infrastructure Monitoring, regardless if it is combined with APM. Annual, month-to-month, and on-demand billing plans are available. For a detailed explanation of billing, please see our Billing FAQ.

Can I purchase Data Streams Monitoring not as part of an APM plan?

Yes, Data Streams Monitoring can be purchased on top of Pro or Enterprise Infrastructure Monitoring hosts starting at $15 per host per month with an annual commitment.

Can I purchase APM Pro for a portion of my hosts and individual standalone products for the rest of my hosts?

No. Customers can commit to only one of the plans across all their APM hosts, not a combination thereof. That said, APM-only customers can purchase Data Streams Monitoring and/or Continuous Profiler on a portion of their hosts, and APM Pro customers can purchase Continuous Profiler on a portion of their hosts.

What Technologies do you support?

DSM currently supports Java, Go, .NET/C# for Kafka and Java and Go for RabbitMQ. Support for additional technologies and programming languages is coming soon.

How long is DSM data retained for?

Map history is stored for 30 days and all metrics are retained for 15 months.

What counts as a billable APM host?

A billable APM host is a host that is actively generating traces that are submitted to the Datadog SaaS application, including, but not limited to, an OpenTelemetry Collector. This means that hosts running services that are not instrumented (e.g. databases, caches, queues and load-balancers) and are not generating traces submitted to the Datadog platform do not count as APM hosts even if APM is enabled on them.

Do I need Infrastructure Monitoring to use APM, APM Pro, or APM Enterprise?

No. APM, APM Pro, and APM Enterprise can be purchased standalone and do not require Infrastructure Monitoring. Standalone pricing is $36 for APM, $41 for APM Pro, and $47 for APM Enterprise, priced per host, per month, billed annually and available on-demand.

Is Pro or Enterprise Infrastructure Monitoring required on every APM Host?

Only if you purchase APM using the Infrastructure Monitoring pricing model. In this case, every host running APM must also be subscribed to Pro or Enterprise Infrastructure Monitoring. For example, if you have 10 APM hosts, those same 10 hosts must have Pro or Enterprise Infrastructure Monitoring. This requirement applies to both committed and on-demand usage for all non-standalone APM tiers.

What is Continuous Profiler?

Continuous Profiler is a tool to observe and analyze code-level performance in your production environment at all times with minimal overhead. It allows developers to identify and optimize the most resource-consuming methods in their code. We provide comprehensive documentation and encourage you to take a read.

What counts as a billable Continuous Profiler host?

A billable Continuous Profiler host is a host that has profiling installed and enabled according to Datadog’s runtime-specific setup instructions (example) and submits profiles to the Datadog SaaS application.

What kind of billing plan do I need to run APM Enterprise?

Every billable Continuous Profiler host requires the purchase of Pro or Enterprise Infrastructure Monitoring, regardless if it is combined with APM. The price includes 4 containers running profiled applications per host, summed across all Profiled hosts. Every additional container costs $2. Annual, month-to-month, and on-demand billing plans are available. For a detailed explanation of billing, please see our Billing FAQ.

I am an existing Continuous Profiler customer. Can I switch to the APM Enterprise plan?

Yes. Existing Continuous Profiler customers have the option of changing their plan to APM Enterprise starting at $40 per host per month. Contact your Sales or Customer Success rep for help.'

Can I purchase Continuous Profiler standalone?

Yes, Continuous Profiler can be purchased standalone at $19 per profiled host per month with an annual commitment. Month-to-month and on-demand plans are also available at $23 per profiled host per month or $0.004 per hour. or reach out to your Sales or Customer Success rep for more details.

Can I purchase APM Enterprise for a portion of my hosts and individual standalone products for the rest of my hosts?

No. Customers can commit to only one of the plans across all their APM hosts, not a combination thereof. That said, APM-only customers can purchase Continuous Profiler and/or Data Streams Monitoring on a portion of their hosts, and APM Pro customers can purchase Continuous Profiler on a portion of their hosts.

How do you define a profiled host?

A profiled host is a physical or virtual operating system instance which is running a profiled application. To be profiled, the host would need to have the agent installed and profiling enabled. When combined with APM, every APM host is also a profiler host, and vice versa. The same logic applies to profiled containers. For more information visit our Billing FAQ.

Which languages does Continuous Profiler support?

Continuous Profiler supports Java, .NET, Go, Python, Ruby, .Node.js, and PHP. Support for C, C++, and Rust is in beta.

How does Datadog Continuous Profiler work?

Our profilers constantly collect representative samples of all stack traces, aggregate them over a 60-second time period and forwards them through the Datadog agent. This is done continuously in one-minute intervals which means you will never lose code-level visibility in your services. To profile your services, simply import our profiling library or enable an environment variable flag when you run the APM tracer.

How do you ensure minimal performance impact in production?

We use the latest, most cutting-edge technologies, such as the JDK Flight Recorder, to ensure that performance impact is minimal even with full production workloads. Additionally, our profilers do not interrupt or interfere with any of your service requests hence we introduce no additional request latency.

How is profiling different from tracing?

Tracing measures latency of requests across services in distributed systems, whereas profiling provides deeper insights on all that happened on the code level of the services.

What are the benefits of Datadog Continuous Profiler?

Continuous Profiler is tightly integrated with the rest of the Datadog platform and it extends our seamless correlations between metrics, traces, and logs to the code level. This is extremely useful for code performance optimization, cost savings on cloud provider bills, and reducing request latency for improved user experience.

What types of profiles are available?

CPU, Memory, Lock, Wall Time, Disk IO, Socket IO, Goroutines, Exceptions and many more profile types are available and may vary by programming language. For more information visit our documentation page.

Are there other billing options?

Annual, monthly and hourly plans are available. We can customize billing plans to meet your needs. For a detailed explanation of billing, please see our Billing FAQ.

Starting At

• Deep file & process activity monitoring

• Performant, in-kernel, eBPF-powered analysis

• Network anomaly detection

• 4 containers allotted per host license**

*Billed annually or $18 on-demand
**Additional containers billed at $0.002 / hr per container

Starting At

• View data from multiple CI providers in a single place

• Visualize performance across pipelines, stages, and jobs

• Surface recurring errors and the commits that caused them

*Billed annually or $12 on-demand

• Diagnose the health & performance of your pipelines

• Make data-driven decisions to optimize your CI/CD

• Pipeline Visibility is currently compatible with GitLab, GitHub Actions, Jenkins, CircleCI, Buildkite, Codefresh, TeamCity, Azure DevOps, and AWS CodePipeline. Other providers and custom pipelines can be integrated via API. Out-of-the-box support for more CI providers is coming soon.

• Powerful out-of-the-box dashboards & integrations

• Alert relevant teams about pipeline health and performance

When Combined with Other Plans

• Auto-instrument pipelines and tests to seamlessly pivot to related logs and errors

Service and Support

• Technical support via Chat and Email, Community Forum, and Online Docs

• Learn more about our additional support plans

API Testing

Starting At

Test API endpoints and workflows

• Easily configure and run single or multistep API tests

• Globally managed locations

*Billed annually or $7.20 on-demand

Browser Testing

Starting At

Provide the best end-user experiences

• Record tests without code

• Intelligent, self-healing tests

• Step-by-step screenshots and error reporting

• Globally managed locations

*Billed annually or $18 on-demand

Mobile App Testing

Starting At

Proactively monitor your key business flows using real devices

• Record tests without code

• Run tests on real Android and iOS devices

• Intelligent, self-maintaining tasks

• View screenshots and front-end errors for every step

*Billed annually or $72 on-demand

Continuous Testing (add-on)

Starting At

Increase the speed of your test runs in the CI

• Run multiple tests at the same time across your test environments to expedite release cycles and reduce test durations

• Analyze tests across your pipelines in the Synthetic Monitoring & Continuous Testing Explorer and search using facets on test durations, commit author, pipeline, and more

*Billed annually or $114 on-demand

When Combined with Other Plans

• Full stack visibility with APM integration

• Pivot to related metrics, traces, and logs

Service and Support

• Technical support across chat and email

• Community Forum and Online Docs

• Plans with the right level of support for your organization

Starting At

• Detect tests that fail or slow down your CI pipelines

• Catch and prevent flaky tests from being merged

• Lower CI costs through improved testing efficiency

• Improve testing quality and developer productivity

*Billed annually or $29 on-demand

• Automatic detection of flaky tests and performance regressions

• Flaky test full lifecycle management

• Test Impact Analysis that skips tests irrelevant to a code change

• Granular visibility into test performance with distributed tracing and stack traces

Starting At

• Build apps using a low code drag-and-drop interface with blueprints and over 1,750+ out-of-the box actions to handle complex tasks and take action without having to leave Datadog

*Billed annually or $51 on-demand

• Quickly build production ready internal ops tools without front end code knowledge

• Drag and drop 20+ UI components and customize your logic using custom JavaScript code.

• Integrate with a catalog of 1,750+ out-of-the-box action integration. Maintain the flexibility to interact with any rest API using HTTP requests. Ability to communicate with both cloud and on-prem resources

• Get value instantly with a library of pre-configured blueprints solving common use cases in DevOps, security, software delivery, project management and more

• Consolidate all your company’s monitoring data, tool development, and observability response in one place

• Empower teams with self-serve apps so they can proactively take action before issues arise

• Save time with minimized context switching by troubleshooting all within the same interface

• Embed apps into your existing monitoring stack as widgets to Datadog Dashboards

• Configure viewing and editing permissions of apps with granular role-based access control (RBAC)

• Gain visibility into every app with audit logging and usage tracking

On-Call

Standalone

Starting At

Modern on-call management

• Unlimited on-call schedules, escalations, and routing rules

• Pages via SMS, voice call, mobile push notification, or email

• Analytics for service health and team performance

*Billed annually or $29 on-demand

Incident Management

Standalone

Starting At

End-to-end incident coordination

• Automated incident timelines

• Integrations with Slack, Jira, and more

• Unlimited number of status pages with custom domains

• One-click AI-generated postmortems and follow-up tasks

• Unlimited incident automations

*Billed annually or $43.20 on-demand

Incident Response

Bundle

Starting At

End-to-end remediation

Includes all features in On-Call and Incident Management

*Billed annually or $58 on-demand

Starting At

• Aggregate, and intelligently correlate alerts from Datadog and third-party tools to reduce alert fatigue, and reduce time discovery and resolution

*Billed annually or $0.14 on-demand

• Reduce alert fatigue and ticket volume with correlation and deduplication

• Aggregate alerts and change events from anywhere into a case or 3rd party ITSM tool

• Jump-start your triaging in the same view with more observability context from related metrics and logs data

Starting At

• Build and trigger automated workflows directly from your observability data

• Get started fast with 40+ pre-built blueprints across DevOps and Security use cases

• Stay in control of your automation with humans in the loop

*Billed annually or $14 on-demand

• Automatically trigger workflows from monitors and security signals, and dashboards

• Easy-to-use workflow builder with 300+ OOTB actions

• 40+ pre-built blueprints covering essential processes across security, DevOps, incident management and more

• Build and customize complex workflows with multi-step automation using logic operators, branching, conditions, iterations and more

• Enrich workflows with context from alerts and security signals

• Bring humans into the loop with interactive workflows

• Granular role-based access control (RBAC) for workflows

• Keep track of executions with detailed workflow auditing

• Automatically group similar errors into issues representing bugs

• Prioritize the most important issues based on count, recency, or impact

• Resolve errors faster with custom monitors and one-click pivot into Git and IDEs

• Investigate anomalistic tags surfaced by Watchdog Insights

*Error Tracking is included for APM traces and RUM events at no additional cost.
**Billed annually or $36 on-demand

• Prioritized list of all errors, automatically grouped into issues

• Custom alerts on new issues

• Default and custom tags for simple search and analytics

• Watchdog Insights: Anomalistic tags associated with specific issues

• Error distribution over time or by environment, version, URL, and other tags

• Source code and IDE integrations

• Ability to mute noisy issues or mark others as open, ignored, or resolved

• Error triaging in Datadog Case Management and Incident Management

When Combined with Other Plans

• Full-stack visibility

• Seamless correlation with related sessions in RUM and distributed traces in APM

Service and Support

• Technical support (chat and email)

• Community forum and online docs

Product Analytics

Starting At

Turn user behavior into data-driven product decisions

• Understand user behavior across the entire journey with funnels, segments, and pathway diagrams.

• Boost adoption and revenue by identifying golden paths and key conversion drivers.

• Track long-term trends with data retention starting at 15 months to assess the lasting impact of product changes.

• Correlate user behavior with backend performance, mobile vitals, and frustration signals—all with a single SDK that simplifies setup and reduces engineering overhead.

*Billed annually or $1.20 on-demand

Session Replay

Starting At

Unlock behavioral insights to inform product decisions with video-like replays

• Visualize the full user journey across web and mobile to identify drop-off points, optimize flows, and drive conversion.

• Validate hypotheses quickly with 30-day session replay retention and built-in privacy protections like input masking by default.

• Uncover UX opportunities by combining session replays with heatmaps to visualize engagement and behavior.

• Collaborate with full context by linking replays to funnels, retention, and product metrics for faster, aligned decision-making.

*Billed annually or $3.60 on-demand

Starting At

• Pinpoint cost drivers in your storage buckets

• Confidently move cold data to lower-cost storage classes

• Accelerate savings with granular recommendations

• Proactively detect and address anomalies

*Billed annually or $0.50 on-demand

Starting At

• Complete visibility into your Edge network

• Fleet-wide aggregation and unified tagging

• Out-of-the-box dashboards

*Billed annually or $7.20 on-demand

Starting At

• Identify overprovisioned workloads and clusters

• Automatically rightsize your Kubernetes resources

• Deploy quickly, via app or GitOps

*Billed annually or $4.32 on-demand

Starting At

• Allows OTLP export directly into Datadog

• Routes telemetry from managed partners like Vercel, Cloudflare, and Mulesoft without any additional infrastructure or agents

• Simple configuration, no collector component required

Available in all regions. No multi-year or volume discounts available.

• Integrate observability with any supported managed platform

• Gain full-stack visibility within Datadog’s platform

• Send metrics, logs, and traces from Vercel, Cloudflare, Mulesoft, or other supported managed partners directly to Datadog using native OTLP endpoints

• Run statistically rigorous experiments with governed methodologies

• Validate experiment health with automated guardrails

• Monitor user behavior and system performance in a unified workflow

• Analyze impact using warehouse-native source-of-truth metrics

• Robust SDK for high-quality experiment rollouts with integrated performance monitoring

• Measure vetted business metrics with warehouse-native experimentation

• Streamline experiment planning with built-in sample size calculator

• Advanced statistical engine with support for sequential, fixed sample, and Bayesian methods. Built-in variance reduction with CUPED++

• Real-time diagnostics to proactively capture issues like sample ratio mismatch and instrumentation gaps

• Tight integration with Product Analytics and RUM to rigorously measure changes in behavioral and performance signals

• Dive into session replays right from your experiment results

• Understand trends by user segment, measure impact over time

Serverless Application Monitoring

Starting At

Centralized Monitoring of AWS Fargate

• Detect infrastructure health with real-time task or pod metrics in the ECS troubleshooting view

• Identify unhealthy or stopped tasks and easily correlate with container logs

• Keep track of service and task versions and deployment changes, all in one place

per active application instance* per month**
**Billed annually or $4.32 on-demand

Serverless Application APM

Starting At

Tracing for AWS Fargate

• Find bottlenecks or errors for individual requests

• Trace functions, APIs and queues all in one trace

• Enrich traces with request and response payloads

• Visualize requests with out-of-the-box service map

*Average over the 5 minute interval of active application instances
**Billed annually or $9 on-demand

Serverless Workload Monitoring

Starting At

Add deeper visibility into your functions

• Detect issues in your AWS Step Functions in real time

• Identify bottlenecks and optimizations in individual states within your step function

• Correlate metrics with logs, error tracking, and deployment tracking to troubleshoot faster

*Average of the hourly number of active step functions
**Billed annually or $7.20 on-demand

Serverless Application Monitoring

Starting At

Centralized monitoring of Azure App Service

• Detect issues with real-time out-of-the-box and custom metrics

• Identify increases in cold starts or shutdowns

• Search for services with custom tags

• Correlate metrics with audit logs from serverless resources

*Average over the 5 minute interval of active application instances
**Billed annually or $4.32 on-demand

Serverless Application APM

Starting At

Tracing for Azure App Service

• Find bottlenecks or errors for individual requests

• Trace functions, APIs and queues all in one trace

• Enrich traces with request and response payloads

• Visualize requests with out-of-the-box service map

per actively traced application instance* per month**
**Billed annually or $9 on-demand

Serverless Application Monitoring

Starting At

Centralized monitoring of Azure Container Apps

• Detect issues with real-time out-of-the-box and custom metrics

• Identify increases in cold starts or shutdowns

• Search for services with custom tags

• Correlate metrics with audit logs from serverless resources

*Average over the 5 minute interval of active application instances
**Billed annually or $4.32 on-demand

Serverless Application APM

Starting At

Tracing for Azure Container Apps

• Find bottlenecks or errors for individual invocations

• Trace applications, APIs and queues all in one trace

• Enrich traces with request and response payloads

• Visualize requests with the out-of-the-box service map

*Average over the 5 minute interval of active application instances
**Billed annually or $9 on-demand

Serverless Application Monitoring

Starting At

Centralized Monitoring of Azure Functions

• Detect issues with real-time out-of-the-box and custom metrics

• Identify increases in cold starts or shutdowns

• Search for services with custom tags

• Correlate metrics with audit logs from serverless resources

*Average over the 5 minute interval of active application instances
**Billed annually or $4.32 on-demand

Serverless Application APM

Starting At

Tracing for Azure Functions

• Find bottlenecks or errors for individual requests

• Trace applications, APIs and queues all in one trace

• Enrich traces with request and response payloads

• Visualize requests with the out-of-the-box service map

*Average over the 5 minute interval of active application instances
**Billed annually or $9 on-demand

Serverless Application Monitoring

Starting At

Centralized monitoring of Google Cloud Run

• Central view of Cloud Run services and functions, enriching telemetry with advanced capabilities (Error Tracking, Issues, & Insights)

• Monitor service health with out-of-the-box dashboards

• Monitor business logic with custom metrics

• Identify increases in cold starts or shutdowns

• Search for services with custom tags

*Average over the 5 minute interval of active application instances
**Billed annually or $4.32 on-demand

Serverless Application APM

Starting At

Tracing for Google Cloud Run

• Find bottlenecks or errors for individual requests

• Trace functions, APIs and queues all in one trace

• Enrich traces with request and response payloads

• Visualize requests with out-of-the-box service map

*Average over the 5 minute interval of active application instances
**Billed annually or $9 on-demand

Serverless Application Monitoring

Starting At

Centralized Monitoring of GKE Autopilot

• Detect infrastructure health with real-time container telemetry in the Kubernetes Explorer

• Identify health concerns with your Kubernetes resources and easily correlate with container logs

• Keep track of resources running on GKE all in one place, with deep visibility and insights powered by AI

*Average over the 5 minute interval of active application instances
**Billed annually or $4.32 on-demand

Serverless Application APM

Starting At

Tracing for GKE Autopilot

• Find bottlenecks or errors for individual requests

• Trace functions, APIs and queues all in one trace

• Enrich traces with request and response payloads

• Visualize requests with out-of-the-box service map

*Average over the 5 minute interval of active application instances
**Billed annually or $9 on-demand

Serverless Functions APM

Starting At

Tracing for your workflows

• Visualize the path of your executions to identify exactly where to begin troubleshooting issues

• Identify bottlenecks and optimizations in individual states within your step function with execution-level metrics and monitors

• See input and output payloads on each state transition to reproduce bugs easily

*Triggered by active workflows. 1 step function state transition is equivalent to 1 step function span.
**Billed annually or $15 on-demand

Serverless Workload Monitoring

Starting At

Centralized monitoring of serverless apps

• Detect issues with real-time serverless metrics

• Identify increases in cold starts or cold start duration

• Search for functions with custom serverless tags

• Correlate metrics with recent deployments

*Average of the hourly number of invoked functions
**Billed annually or $7.20 on-demand

Serverless Functions APM

Starting At

Add deeper visibility into your active functions

• Find bottlenecks or errors for individual invocations

• Trace functions, APIs and queues all in one trace

• Enrich traces with request and response payloads

• Visualize requests with out-of-the-box service map

*Triggered by active functions. 1 traced lambda invocation is equivalent to 1 top level span.
**Billed annually or $15 on-demand

Serverless Application Security

Starting At

Comprehensive threat detection

• Detect attackers in real time

• Investigate attacks with distributed tracing and runtime context

• Build custom detection rules to detect business logic attacks

• Integrate with existing security stack to respond to attacks

*Triggered by active functions
**Billed annually or $15 on-demand

• Visualize all your ECS Fargate clusters, services, tasks, and task definitions in one place

• Detect infrastructure health with real-time task or pod metrics in the ECS troubleshooting view

• Identify Unhealthy or Stopped Tasks or Pods and easily correlate with live container logs

• Keep track of service and task versions and deployment changes, all in one place

• Find bottlenecks or errors for individual invocations

• Trace applications, APIs and queues all in one trace

• Enrich traces with request and response payloads

• Visualize requests with the out-of-the-box service map

• Integrates with AWS CDK, Serverless Framework, SAM, Terraform, and more

• Out-of-the-box health dashboards for API Gateway, Step Functions, SQS, DynamoDB, and more

• Optimize function memory use and cold starts with Watchdog Insights

• Optimize memory and cold starts

• Available for Lambda functions in all major Lambda runtimes

• Analyze request and response payloads for each serverless invocation

• Performance metrics and version comparisons for every release with deployment tracking

• Automatic APM trace map visualizes end-to-end trajectory for requests and attacks

• Pivot from failing functions to related commits in GitHub

• 140+ out-of-the-box rules to detect attacks in real time

• Out-of-the-box health dashboards for AWS Step Functions

• Easily understand and optimize bottlenecks Step Functions with an aggregated State Machine Health Map

• Visualization execution map to identify error-states, inputs, and outputs to easily reproduce issues

• Correlated logs, metrics, error tracking, and traces for simplified troubleshooting

• Upstream trace propagation and linked lambda traces for end-to-end trajectory for each request

• Performance metrics and version comparisons for every release with deployment tracking

• End-to-end flame graph and waterfall visualizations within APM with the ability to generate trace metrics and monitors

• Get real-time visibility into Web Apps and Function Apps across all environments

• Monitor issues, errors and latency with out-of-the-box dashboards

• Monitor business logic with custom metrics

• Set alerts on errors and latency spikes

• Search for Web Apps and Function Apps with custom tags

• Identify resource and cost inefficiencies

• Correlate logs, metrics, and traces in one unified view for faster troubleshooting

• Understand dependencies between App Services and other services (e.g., EventHub, Service Bus, APIs)

• Enrich traces with request and response payloads

• Get real-time visibility into Container Apps across all environments

• Visualize CPU, memory, and network usage per container app with out-of-the-box dashboards

• Monitor business logic with custom metrics

• Search for Container Apps with custom tags

• Set alerts on replica counts, errors, and latency spikes

• Identify resource and cost inefficiencies

• Correlate logs, metrics, and traces in one unified view for faster troubleshooting

• Trace requests across container boundaries with full visibility into microservice flows

• Enrich traces with request and response payloads

• Track function execution patterns with real-time Azure-native metrics

• Monitor business logic with custom metrics

• Understand scaling behavior with visibility into concurrent function instances

• Search for Functions with custom tags

• Monitor cold starts, timeouts, and failures with out-of-the-box dashboards

• Identify resource and cost inefficiencies

• Correlate logs, metrics, and traces in one unified view for faster troubleshooting

• Understand dependencies between Functions and other services (e.g., EventHub, Service Bus, APIs)

• Enrich traces with request and response payloads

• Central view of Cloud Run services and functions, enriching telemetry with advanced capabilities (Error Tracking, Issues & Insights)

• Monitor service health with out-of-the-box dashboards

• Monitor business logic with custom metrics

• Identify increases in cold starts or shutdowns

• Search for services with custom tags

• Find bottlenecks or errors for individual requests

• End-to-end traces with inferred spans to upstream and downstream services

• Correlate logs to traces for efficient root cause analysis

• Enrich traces with request and response payloads

Serverless Application Monitoring

• Detect infrastructure health with real-time container telemetry in the Kubernetes Explorer

• Identify health concerns with your Kubernetes resources and easily correlate with container logs

• Keep track of your resources running on GKE all in one place, with deep visibility and insights powered by AI

APM

• Find bottlenecks or errors for individual requests

• End-to-end traces with inferred spans to upstream and downstream services

• Correlate logs to traces for efficient root cause analysis

• Enrich traces with request and response payloads

How do you define an active application instance?

Active instances for Fargate are the number of unique running Fargate tasks (ECS) or Fargate pods (EKS) that were observed in an active state during at least one 5-minute metering interval, averaged across the month.

Is Tracing included in Fargate Monitoring?

Tracing applications running on ECS Fargate or EKS Fargate is supported via the add on Serverless Apps APM product. It can be enabled with the Datadog Agent and adding a tracing library to your application.

What metrics are included in Serverless Workload Monitoring?

Each active application instance includes an allotment of 20 ingested custom metrics and 20 indexed custom metrics under application monitoring. The APM add-on offering provides 30GB of Ingested Spans and Indexed Spans allotment to 195k. See APM common questions for additional retention periods.

Can I control how many requests are traced?

Yes, you can control the percentage of Fargate requests that generate APM data by configuring your tracing settings.

How do I track my usage?

Datadog’s Plan & Usage page shows all active app instances broken down by workload. You can also view all ECS Fargate workloads in the ECS view and EKS workloads in the Kubernetes view in Datadog.

How do you define an active function?

Datadog bills based on the average number of functions per hour across the month for your accounts. Every hour, Datadog records the number of functions that were executed one or more times and monitored by your Datadog account. At the end of the month, Datadog charges by calculating the average of the hourly number of functions recorded. For example, if you invoked a function only once during a month, your bill will be 1 function / 720 hours * $5.

How do you define a traced invocation?

Datadog creates a top-level Lambda span for every Lambda invocation that is traced. Your bill is based on the sum of AWS Lambda invocations connected to an ingested APM trace in a given month. You will also be billed for the total number of indexed spans submitted to the Datadog APM service exceeding the bundled quantity at the end of the month.

Can I control how many invocations are traced?

Yes, Datadog allows you to control the percentage of Lambda function invocations that generate APM data.

Can Serverless Functions APM be purchased without Serverless Workload Monitoring?

No, Serverless Functions APM is an optional add-on for serverless functions sending metrics to Datadog via Serverless Workload Monitoring.

What is allotted with Serverless Functions APM?

Span Ingestion: 50GB Ingested Spans per 1M traced invocations; then $0.10/GB. Span Retention: 300 thousand Indexed Spans per 1M traced invocations; then $1.70 per 1 million Indexed Spans with 15-day retention (billed annually or $2.55 on-demand). See APM common questions for additional retention periods.

What AWS Lambda runtimes do you support?

Python, Node.js, Go, Ruby, Java, and .NET

Can I monitor other AWS services used alongside my Lambda functions?

Yes, Datadog has an easy to set up AWS integration which immediately pulls in metrics and more from 85+ AWS services, including Amazon API Gateway, Amazon DynamoDB, AWS AppSync, Amazon SQS, Amazon Kinesis, and AWS Step Functions.

What security capabilities are available for AWS Lambda?

Datadog allows you to detect meaningful threats on your applications running on AWS Lambda, and block attacks in your AWS Web Application Firewall (WAF) using Workflow Automation. Learn more about application security with our documentation.

How do you define an active AWS Step Function?

Datadog bills based on the average number of AWS Step Functions per hour across the month for your accounts. Every hour, Datadog records the number of Step Functions that were executed one or more times and monitored by your Datadog account. At the end of the month, Datadog charges by calculating the average of the hourly number of AWS Step Functions recorded. For example, if you invoked a function only once during a month, your bill will be 1 function / 720 hours * $5.

How do you define a span for AWS Step Functions?

Datadog bills based on the sum of AWS Step Function State transitions connected to an ingested APM trace in a given month. You will also be billed for the total number of indexed spans submitted to the Datadog APM service exceeding the bundled quantity at the end of the month. Any spans that are linked to the Step Function state, such as a Lambda invocation span, is billed additionally. See AWS lambda pricing for more details.

Can I control how many invocations are traced?

Yes, Datadog allows you to control the percentage of AWS Step Function invocations that generate APM data.

Can Serverless Functions APM be purchased without Serverless Workload Monitoring?

No, Serverless Functions APM is an optional add-on for serverless functions sending metrics to Datadog via Serverless Workload Monitoring.

What is allotted with Serverless Functions APM?

Span Ingestion: 50GB Ingested Spans per 1M traced invocations; then $0.10/GB. Span Retention: 300 thousand Indexed Spans per 1M traced invocations; then $1.70 per 1 million Indexed Spans with 15-day retention (billed annually or $2.55 on-demand). See APM common questions for additional retention periods.

What if I am sending both AWS Lambda Spans and AWS Step Function Spans?

AWS Lambda spans will be billed separately from AWS Step Function Spans. However, you can still link traces from AWS Lambda and Step Functions together to get end-to-end step function execution visibility.

Can I monitor other Serverless AWS services used alongside my Step Functions?

Yes, you can monitor AWS Lambda functions with the Datadog Extension to get even deeper visibility into your Serverless workloads. Datadog also has an easy to set up AWS integration which immediately pulls in metrics and more from 85+ AWS services, including Amazon API Gateway, Amazon DynamoDB, AWS AppSync, Amazon SQS, Amazon Kinesis

How do you define an active application instance?

Active application instances for Azure App Service are the number of unique web app or function app instances that were observed in an active state during at least one 5-minute metering interval, averaged across the month.

Is Tracing included in Container App Monitoring?

Tracing Azure App Service applications is supported via the add on Serverless Apps APM product. It can be enabled with the Datadog Serverless Agent and adding a tracing library to your application.

What metrics are included in Serverless Workload Monitoring?

Each active application instance includes an allotment of 20 ingested custom metrics and 20 indexed custom metrics under application monitoring. The APM add-on offering provides 30GB of Ingested Spans and Indexed Spans allotment to 195k. See APM common questions for additional retention periods.

Can I control how many requests are traced?

Yes, you can control the percentage of App Service requests that generate APM data by configuring your tracing settings.

Why are Azure Functions listed in multiple categories (App Services, Functions, and Container Apps)?

Azure Functions can run on different platforms depending on how they’re deployed, including App Service Plans, Consumption Plans, Premium Plans, or inside Azure Container Apps. Datadog automatically detects the hosting platform and meters usage accordingly:

• Functions on App Service Plans are counted as App Service instances
• Functions on Consumption or Premium Plans are counted under Azure Functions
• Functions inside Container Apps are counted as container replicas

This ensures accurate usage-based billing, no matter where your functions run.

How do you define an active application instance?

Active application instances for Azure Container Apps are the number of unique Container App Replicas that were observed in an active state during at least one 5-minute metering interval, averaged across the month.

Is Tracing included in Container App Monitoring?

Tracing Azure Container Apps is supported via the add on Serverless Apps APM product. It can be enabled with the Datadog Serverless Agent and adding a tracing library to your application.

What metrics are included in Serverless Application Monitoring?

Each active application instance includes an allotment of 20 ingested custom metrics and 20 indexed custom metrics under application monitoring. The APM add-on offering provides 30GB of Ingested Spans and Indexed Spans allotment to 195k. See APM common questions for additional retention periods.

Can I control how many requests are traced?

Yes, you can control the percentage of Container App requests that generate APM data by configuring your tracing settings.

Why are Azure Functions listed in multiple categories (App Services, Functions, and Container Apps)?

Azure Functions can run on different platforms depending on how they’re deployed, including App Service Plans, Consumption Plans, Premium Plans, or inside Azure Container Apps. Datadog automatically detects the hosting platform and meters usage accordingly:

• Functions on App Service Plans are counted as App Service instances
• Functions on Consumption or Premium Plans are counted under Azure Functions
• Functions inside Container Apps are counted as container replicas

This ensures accurate usage-based billing, no matter where your functions run.

How do you define an active application instance?

Active instances for Azure Functions are measured based on the number of unique active Container App Replicas that are monitored within each 5-minute period. To calculate the monthly average, we take the average number over all 5-minute periods in the month.

Is Tracing included in Azure Functions Monitoring?

Tracing applications running on Azure Functions is supported via the add on Serverless Apps APM product. It can be enabled with the Datadog Serverless Agent and adding a tracing library to your function.

What metrics are included in Serverless Application Monitoring?

Each active application instance includes an allotment of 20 ingested custom metrics and 20 indexed custom metrics under application monitoring. The APM add-on offering provides 30GB of Ingested Spans and Indexed Spans allotment to 195k. See APM common questions for additional retention periods.

Can I control how many requests are traced?

Yes, you can control the percentage of Function requests that generate APM data by configuring your tracing settings.

Why are Azure Functions listed in multiple categories (App Services, Functions, and Container Apps)?

Azure Functions can run on different platforms depending on how they’re deployed, including App Service Plans, Consumption Plans, Premium Plans, or inside Azure Container Apps. Datadog automatically detects the hosting platform and meters usage accordingly:

• Functions on App Service Plans are counted as App Service instances
• Functions on Consumption or Premium Plans are counted under Azure Functions
• Functions inside Container Apps are counted as container replicas

This ensures accurate usage-based billing, no matter where your functions run.

How do you define an active application instance?

Active instances for Google Cloud Run are the number of unique active application containers that were observed in an active state during at least one 5-minute metering interval, averaged across the month.

Which Cloud Run workloads are supported and included in the pricing plan?

Cloud Run services, Cloud Run Functions (Gen 2), and Cloud Run Functions (Gen 1) are included in the pricing plan for both Serverless Application Monitoring and Serverless Application APM. The same pricing applies for all workloads.

Is Tracing included in Container App Monitoring?

Tracing Cloud Run services and functions is supported via the add on Serverless Apps APM product. It can be enabled with the Datadog Serverless Agent and adding a tracing library to your application.

What metrics are included in Serverless Workload Monitoring?

Each active application instance includes an allotment of 20 ingested custom metrics and 20 indexed custom metrics under application monitoring. The APM add-on offering provides 30GB of Ingested Spans and Indexed Spans allotment to 195k. See APM common questions for additional retention periods.

Can I control how many requests are traced?

Yes, you can control the percentage of Cloud Run requests that generate APM data by configuring your tracing settings.

How do you define an active application instance?

Active instances for GKE Autopilot are the number of unique active pods during at least one 5-minute metering interval, averaged across the month. Note: If you are using the Datadog Agent to instrument GKE Autopilot, and are using Agent 7.65.0+ and version 3.113.0+ of the Helm chart, ensure the datadog.kubelet.useApiServer property is enabled.

Are OTel instrumented GKE Autopilot workloads billable?

For OTel instrumented GKE Autopilot workloads, only Serverless Apps APM is billable. Infra OTel for Serverless will be billable on a future date.

Is Tracing Included In GKE Autopilot monitoring?

Tracing GKE Autopilot is supported via the add on Serverless Apps APM product. It can be enabled via supported OpenTelemetry setups or the Datadog Agent.

What metrics are included in Serverless Application Monitoring?

Each active application instance includes an allotment of 20 ingested custom metrics and 20 indexed custom metrics under application monitoring. The APM add-on offering provides 30GB of Ingested Spans and Indexed Spans allotment to 195k. See APM common questions for additional retention periods.

Can I control how many pods are monitored?

Yes, you can use Container Discovery Management to selectively monitor GKE Autopilot workloads.

Free

Starting At

For individuals and small teams

• Up to 40K LLM spans / month

• 15-day trace retention

• Unlimited context & evals

• Full feature access

Pro

Starting At

For teams at scale

• 100K LLM spans per month included

• 15-day trace retention

• Unlimited context & evals

• Full feature access

Annual pricing shown. On-demand and M2M options available.

How we price

Per LLM spans only — not tool spans, workflow spans, or retrieval spans. You pay for calls to the model, nothing else.

Why it matters

You pay for the actual AI work, not every surrounding step in the workflow. That makes pricing simpler to forecast as agents grow more complex and context windows expand.

PRE-PRODUCTION & DEVELOPMENT

• Use human review and annotation to label outputs at scale and improve dataset quality

• Build versioned datasets from production traces to create a durable, reusable testing foundation

• Iterate on prompts, models, and agent logic in Playground before touching production

• Run structured experiments to compare configurations side by side and validate changes with evidence

• Catch regressions before release with offline evaluators aligned to your quality, cost, and latency KPIs

PRODUCTION OBSERVABILITY

• Trace every agent step with full span-level inputs, outputs, and metadata across prompts, retrieval, tool calls, and decisions

• Monitor latency, token usage, and cost across all AI agents in real time

• Detect quality issues continuously with out-of-the-box and custom evaluators, including hallucination and drift detection

• Protect applications from prompt injection, sensitive data exposure, and unsafe outputs with proactive security scanning

• Correlate agent behavior with backend services, infrastructure, and real user sessions for full-stack root cause analysis

RUM Measure

Starting At

Monitor the availability and performance of your application across user sessions

• Collect every session to gain complete insights into user experiences across your applications.

• Monitor web and mobile app availability with 30+ out-of-the-box metrics—calculated on 100% of sessions for complete and accurate insights into app freezes, error rates, page load times, and more (15-month retention included).

• Create monitors, define SLOs, and build dashboards across the Datadog platform for end-to-end visibility.

*Billed annually or $0.22 on-demand

RUM Investigate

Starting At

Focus on critical sessions to efficiently troubleshoot issues and optimize user experiences.

• Filter and retain only the most valuable sessions using flexible, no-code sampling directly in the UI without app deployments.

• Prioritize sessions exhibiting errors, crashes, slow performance, high-value user behavior, and more.

• Gain deep visibility into bugs and crashes with built-in Error Tracking and crash reporting tools.

• Retain sessions, views, and errors for 30 days, with 15-day retention for resources, long tasks, and vitals.

*Billed annually or $4.50 on-demand

Session Replay

Starting At

Enhance RUM with video-like replays to see user issues firsthand across web and mobile

• See user issues firsthand with video-like session replays for web and mobile.

• Debug faster using built-in DevTools to analyze errors and performance bottlenecks.

• Respect user privacy with inputs masked by default in every replay, and fine-grained masking options.

• Uncover engagement patterns by pairing replays with heatmaps and 30-day retention (currently only available for web applications)

*Billed annually or $3.60 on-demand

• Sessions

• Views

• Actions

• Errors

• Resources

• Long Tasks

• Visual Replay of User Sessions

• Performance Vitals (Mobile & Core Web Vitals)

• Out-of-the-box performance metrics

• Out-of-the-box Dashboards

• Retention Filters

• Error Tracking

When Combined with Other Plans

• Frontend-to-backend visibility with the APM integration

• Query, analyze, visualize and alert on your application data

How is a session defined?

A session is a user journey on your web application. It expires after 15 minutes of inactivity and lasts up to 4 hours. For a detailed explanation of user sessions, please see our docs.

What data does Datadog’s RUM collect?

We collect events across browser and mobile applications on various platforms. Our SDKs collect events automatically or can be instrumented to capture custom events. We capture the following events: page views and view loads, buttons clicked called actions, network requests called resources, and UI hangs called long tasks. We enrich all the events recorded with metadata called attributes. Refer to our Browser RUM and Android, iOS, React Native, and Flutter, Kotlin Multiplatform, Unity, and Roku RUM documentation

Do I need to purchase both RUM Measure and RUM Investigate SKUs?

Yes—RUM Measure and RUM Investigate are designed to work together to give you full visibility and cost control.

• RUM Measure captures all sessions and powers 30+ out-of-the-box performance metrics for your web and mobile apps.
• RUM Investigate lets you retain only the sessions that matter most—like those with errors, crashes, or high-value actions—based on configurable filters. Retained sessions are stored for 30 days for deep troubleshooting. You can also add Session Replay to any retained session for a visual playback of the user experience. Replay sessions are billed separately at $2.50 per 1,000 sessions.

How long are sessions and metrics retained for?

The retention policy for RUM sessions and session replays is 30 days. With OOTB metrics are generated on 100% of sessions (RUM Measure SKU) and are retained for 15 months.

Are the out-of-the-box metrics charged as custom metrics?

No – Datadog will compute out-of-the-box metrics on the sessions that you send to RUM with the RUM Measure SKU at no additional cost. If you wish to generate your own custom metrics, these will computed on 100% of your traffic, retained for 15 months, and charged as additional metrics (learn more).

What Mobile languages do you support instrumentation for?

We currently support Android (Java and Kotlin), iOS (Swift and Objective-C), React Native, Flutter, Unity, Kotlin Multiplatform, and Roku.

Can I view logs from my browser or mobile app in RUM?

Yes, these logs are automatically tied to the corresponding RUM session, making it easy to monitor when they happen during the user journey.

How can I begin setting up for RUM?

Setup steps can be found in our docs: Browser, Session Replay, Mobile.

How does Session Replay work?

Session Replay works differently for web and mobile applications. For web ones running on desktop browsers or mobile browsers, it captures changes in the web page code, called DOM and DOM-mutations, to recreate a user’s experience in real-time in the browser. For mobile ones, it flattens the view tree and transforms it into style-rich wireframes, to recompose the UI and end-user’s experience at the right view port.

How does the billing work for Session Replay?

It depends on the SDK versions used:

• From Browser v5.0.0, iOS 2.22.0, Android 2.17.0, and React Native 2.6.0, Sessions are billed under “RUM & Session Replay” or “RUM” based on whether they include a Replay
• For earlier versions of our Browser SDK, billing is based on the sampling rate, regardless of Replay content. Please see our documentation for more detail.
• For earlier versions of our iOS, Android, and React Native SDKs, Sessions are always charged under the “RUM” plan, regardless of Replay content

Note: if you plan on collecting both Sessions with and without a Replay, you can consider committing to both “RUM” and “RUM & Session Replay” plans to optimize your usage.

Browser Testing

Starting At

Easily monitor critical user journeys

• Record tests without code

• Intelligent, self-maintaining tests

• View screenshots and front-end errors for every step

*Billed annually or $18 on-demand

Mobile App Testing

Starting At

Proactively monitor your key business flows using real devices

• Record tests without code

• Run tests on real Android and iOS devices

• Intelligent, self-maintaining tasks

• View screenshots and front-end errors for every step

*Billed annually or $72 on-demand

API Testing

Starting At

Proactively monitor site availability

• Monitor uptime SLAs and SLOs

• Globally managed locations

• Sophisticated alerting capabilities

*Billed annually or $7.20 on-demand

Network Path
Testing

Starting At

Proactively monitor network impact on application performance

• Pinpoint root cause fast with a hop by hop view of network degradations impacting your applications

• Test real-world conditions from global locations, private cloud environments or your own devices

• Proactively catch issues and get alerts on packet loss or latency

*Billed annually or $7.20 on-demand

Continuous Testing (add-on)

Starting At

Increase the speed of your test runs in the CI

• Run multiple tests at the same time across your test environments to expedite release cycles and reduce test durations

• Analyze tests across your pipelines in the Synthetic Monitoring & Continuous Testing Explorer and search using facets on test durations, commit author, pipeline, and more

*Billed annually or $114 on-demand

• Track site uptime and latency

• Understand global performance

• Track SLAs and SLOs

• Customize frequency of test runs

• Latency display of DNS, SSL, TTFB, and more.

• Web-Recorder for code-free test creation

• AI-driven Self-Maintaining Tests

• Waterfall visualization and screenshots

• Real-time alerting with rich context

• Easy sorting and filtering with tags

When Combined with Other Plans

• Full stack visibility

• Pivot to related metrics, traces, and logs

Service and Support

• Technical support across chat and email

• Community Forum and Online Docs

• Plans with the right level of support for your organization

What’s the difference between API Tests and Browser Tests?

API Tests monitor single endpoints or URLs, whereas Browser Tests monitor web business transactions or web user journeys that may involve several actions and pages. Multistep API tests are also available to chain several API requests together.

Are you able to alert on Synthetic monitors?

Yes, alerts are built in and triggered automatically when your tests fail. Datadog also integrates with your favorite collaboration/communication tools such as Slack, Pagerduty, ServiceNow, and more.

Can I view endpoint requests end-to-end?

Yes, with the out-of-the-box APM integration, you are able to tie back any synthetic tests to their corresponding back-end, code-level insights for minimal mean time to resolution.

Is there any extra charge for using private locations?

No. There are no additional costs to set up a private location. All test runs to a private location are billed just as they are to a managed location.

What counts as an API test run?

HTTP, SSL, DNS, TCP, and ICMP all fall under API test billing. Each hit being made on your endpoint counts as a single test run. If a test is set to run from 3 locations every minute, the test will count as 180 test runs in an hour.

For multistep API tests, each step counts as an individual API test.

What counts as a browser test run?

Each simulation of a full transaction (25 steps) counts as a single test run. A single test containing 50 steps counts as 2 test runs on each execution. So, running a 51 step test (counting as 3 test runs) every 15 minutes from 5 different locations and 2 different devices means the test will count as 120 test runs in an hour.

How do browser test subtests participate in Synthetics billing?

Subtests are treated just as any other step in the browser test. Therefore, we bill a subtest as part of the overall test execution. So if a user sets up a browser test with 3 subtests, that each have 5 steps nested, that would amount to a total of 15 steps.

Is there any extra charge for enabling Synthetic RUM data collection on Browser Tests?

No. Synthetic RUM data collection comes free of charge with Synthetic Testing and Monitoring.

How is Mobile App Testing billed?

Similar to API and Browser Synthetic Testing, Mobile App Testing is billed per test run.

Is there a limit of the number of steps in a test run?

No. However Mobile App Testing does group test steps into buckets with each set of 25 steps counted as an individual test run. For example, tests with 1-25 steps will count as 1 run, tests with 25-50 will count as 2 runs, tests with 51-75 will count as 3 runs and so on.

How are test runs calculated in Mobile App Testing?

To calculate test runs take the number of buckets (sets of 25 steps) you have in your test and multiply this by the number of devices you have selected for your test. For example, if you have a test with 26 steps and 2 devices selected this will count as 4 test runs (2 sets of 25 steps * 2 devices) and if you run this test on an hourly basis this will come out to 96 test runs per day (2 sets of 25 steps * 2 devices * 24 hours).

Does Mobile App Testing use real devices or emulators / virtual devices?

Mobile App Testing uses real devices, i.e. physical phones and tablets which are connected via the cloud, to provide the most realistic testing possible. With real devices we can more accurately represent the hardware, software and network conditions your actual users will face.

How does Mobile App Testing on real devices work?

We have a fleet of real devices maintained in our managed cloud infrastructure. Once you select your preferred device (iOS or Android) to test your app with, Datadog MAT connects with that real device over cloud and sets the app for the test.

What devices does Mobile App Testing support?

MAT supports the most popular devices (smartphones and tablets) across Android and iOS, including the iPhone, iPad, Samsung Galaxy, Google Pixel and more, and we are constantly increasing support for new devices and OS versions as they become available.

What data center is Mobile App Testing available in?

Datadog Mobile App Testing is currently available to all US1, US5, and EU1 customers. All app tests will be run from the AWS US West region.

How can I begin setup for Mobile App Testing?

To begin testing with MAT: (1) Upload the app you would like to test to the platform, (2) Select Mobile Application Test from the modal New Test under UX Monitoring or on the Synthetics home page, (3) Select the devices you would like to test with, (4) Record your test case and (5) execute your test! You can read more about how to configure your tests here.

Can I run tests in parallel with Mobile App Testing?

Yes. By default, tests executed through the API / CI are executed sequentially however if you would like to run your tests in parallel for faster execution you can purchase additional concurrency slots with our Continuous Testing SKU. Learn more about Continuous Testing here.

Can I set up alerts on Mobile App Testing monitors?

Yes, alerts are built in and triggered automatically when your tests fail. Datadog also integrates with your favorite collaboration/communication tools such as Slack, Pagerduty, ServiceNow, and more.

Does Mobile App Testing support testing progressive web apps?

No. Datadog Mobile App Testing only tests native Android and iOS apps. If you would like to test your progressive web app, you can use Datadog’s Browser Testing product which allows you to test both desktop and mobile websites. Learn more about Browser Testing here.

What are “Self-maintaining Tests” and how do they work?

The self-maintaining test capability uses an AI-driven multi-locator algorithm to detect UI changes in the app and automatically updates your tests. This reduces alert fatigue and makes test maintenance easy.

Does Mobile App Testing currently provide end-to-end visibility with APM and RUM?

Mobile App Testing currently integrates with RUM, similar to Browser Testing, allowing you to correlate synthetic tests with real-user data and insights. At this time, Mobile App Testing does not directly link with APM to provide out-of-the-box backend traces (traces are still available but requires you to manually correspond with your tests).

How do mobile app test subtests participate in Synthetics billing?

Subtests are treated just as any other step in the mobile app test. Therefore, we bill a subtest as part of the overall test execution. So if a user sets up a mobile app test with 3 subtests, that each have 5 steps nested, that would amount to a total of 15 steps.

Are there other billing options available?

Annual, monthly and hourly plans are available. We can customize billing plans to meet your needs. For a detailed explanation of billing, please see our Billing FAQ.

What is Continuous Testing?

Datadog Continuous Testing is a comprehensive toolkit in the development cycle that offers integration and end-to-end testing with codeless test setup, self-healing capability, and seamless integration with CI providers (GitHub Actions, Azure DevOps, CircleCI, GitLab, and Jenkins) and collaboration tools to help you ship high-quality features to your users quickly.

Running tests in your CI/CD pipelines today is included with your API and Browser Testing test runs, and tests will run sequentially (one after another). If you would like to increase the speed of testing in your CI/CD pipelines, you can purchase additional Parallel Testing speed (parallelization), which makes some tests run at the same time.

For example, 1 Parallel Testing additional speed offers an additional parallel slot, allowing you to run 2 tests in parallel; 2 Parallel Testing additional speed offers 2 additional parallel slots, allowing you to run 3 tests in parallel; and so on. This helps you run more tests in parallel (at the same time), and reduce the overall execution speed of your test suite.

Am I limited to a certain number of test runs based on my additional parallelization?

No. With Parallel Testing, you can run as many tests as you need in your CI/CD pipelines. Parallelization ensures you can run more of those tests at the same time, and ultimately reduce the duration of testing in your CI/CD pipelines.

For example, if you want to run 100 tests in a CI pipeline and each test takes 10 seconds to run:

• WITHOUT parallelization, your tests will run sequentially and your pipeline will take roughly 17 minutes to complete.
• WITH parallelization, if you purchase (for example) an additional speed of 4 Parallel Testing, your 100 tests will run over a total of 5 parallel slots, and your pipeline will now take roughly 3 minutes to complete.

Note: In both cases, your 100 test runs will contribute to your API or Browser Testing test run quotas.

Can I reuse my Synthetic tests that I use to monitor my production environments?

Yes. With Parallel Testing, you can use the same Synthetic tests you have configured for production monitoring across all of your staging, QA, and pre-production environments. Through variable overrides and custom configuration values, you can benefit from one test throughout your entire software development lifecycle.

What are parallel tests?

Parallel tests are tests that run simultaneously in your continuous integration and delivery pipelines to ensure that you can:

• Reduce pipeline duration and ship new features faster
• Increase development confidence and speed of delivery
• Have complete test coverage and reduce the volume of production-breaking bugs from reaching your codebase

As an example, if you needed to run 60 tests and each test took one minute to run, it would take you one hour to run those tests sequentially. However, running those tests in parallel with a parallelization value of 60, you could run all your tests at the same time and within one minute, saving you 59 minutes to tackle other business-critical tasks. That's the power of Parallel Testing.

Can I see the full trace of a test if I also use Datadog APM?

Yes! If you instrument your services with APM, you will have a complete 360-degree visibility into your applications and services—from your frontend user experience right through to your backend trace. Find more information here.

What counts as a browser test run?

Each simulation of a web transaction (up to 25 steps) counts as a single browser test run. A single test containing 50 steps would count as two test runs on each execution. For example, running a 60-step test (three test runs) every 15 minutes from five different locations and two different devices equates to 120 test runs in one hour.

How do subtests count toward billing?

Subtests are simply a set of steps within a browser test. Therefore, we count a subtest as part of the overall browser test execution. For example, if you set up a browser test with only three subtests and each subtest had five steps, that would amount to a total of 15 steps, or one browser test run.

Cloud Network Monitoring

Starting At

Understand network traffic patterns and search with tags

• Built for hybrid multi-cloud and on-premises environments

• Correlate applications, infrastructure, and networks faster

• Focused remediations with intelligent insights and alerting

*Billed annually or $7.20 on-demand

Network Device Monitoring

Starting At

Monitor the health and performance of on-premise network devices

• Out-of-the-box metrics collected from switches, routers, firewalls and more

• Visualize interface bandwidth and utilization, disk, fan, and other hardware health

• Comprehensive and customizable alerts

*Billed annually or $10.20 on-demand

Wireless Access Points

Starting At

Monitor the health and performance of wireless access points

• Out-of-the-box metric collection from wireless access points vendors including Cisco Meraki

• Visualize the health of your wireless network and identify performance bottlenecks

• Comprehensive and customizable alerts

*Billed annually or $5.76 on-demand

NetFlow
Monitoring

Monitor traffic trends and bandwidth usage for NetFlow-enabled devices

• Identifying top talkers, top listeners, and top protocols

• Pivot your view by filtering NetFlow records to fields such as interface, device, and application

• Visualize your NetFlow data over time with our OOTB dashboard

*Billed annually or $0.94 on-demand

Network Path

Starting At

Visualize hop-by-hop traffic through your network

• Visualize the hop-by-hop path taken by traffic between applications across cloud networks, physical networks, and the WAN

• Quickly root cause any network-related issue with insights into end-to-end packet loss and latency and hop-by-hop latency

• Correlate network traffic to application and infrastructure metrics to break silos and reduce MTTR

*Billed annually or $7.20 on-demand

• Gives an cloud network health overview of the environment

• Flags network bottlenecks and risks before user impact

• Cross-service and cross-infrastructure traffic analysis

• Cloud cost traffic breakdown

• Security insights with DNS visibility

• Hybrid, on-premises, and cloud connectivity coverage

• Advanced tagging and metadata for curated views

• Deployment and activation in minutes

• Network topology visualizations

• Automated device discovery

• Drill down into interface performance

• Hop-by-hop network path visualization

• Hybrid, on-premises, and cloud connectivity coverage

• Advanced tagging and metadata for curated views

• Deployment and activation in minutes

• Hop-by-hop network path visualization

• Monitor paths across on-prem, VPCs, and SaaS providers

• Pinpoint the exact hop causing slowdowns or packet loss

• Analyze historical path changes to find the root cause of outages

• Prove whether the network issue is yours or the provider's

• Run tests from Datadog managed locations around the world

When Combined with Other Plans

• Pivot seamlessly to Network Path, Infrastructure, APM and Logs

• Automated Infrastructure Tags

Service and Support

• Technical support across chat and email

• Community Forum and Online Docs

• Plans with the right level of support for your organization

When Combined with Other Plans

• Pivot seamlessly to Network Path, Infrastructure, APM and Logs

• Automated Infrastructure Tags

Service and Support

• Technical support across chat and email

• Community Forum and Online Docs

• Plans with the right level of support for your organization

When Combined with Other Plans

• Pivot seamlessly to APM, CNM, NDM and Infrastructure

• Automated Infrastructure Tags

Service and Support

• Technical support across chat and email

• Community Forum and Online Docs

• Plans with the right level of support for your organization

How do you define a host?

A host is any physical or virtual machine that has the Datadog agent installed with Cloud Network Monitoring enabled.

How do you define an CNM flow?

A flow is a record of traffic sent and received between a source (IP:Port) and destination (IP:Port) over a five minute time period. In some cases, similar destinations are grouped into a single flow to reduce the total flow count.

Does Cloud Network Monitoring work with containers?

Yes, Datadog Cloud Network Monitoring is designed to work in containerized and highly dynamic environments. User-defined tags allow you to slice and dice network flows by almost anything, including containers, clusters, pods, and deployments.

Do I need to purchase other Datadog products to use CNM or NDM?

Having all your infrastructure, traces, logs, and network information under one roof is something we encourage for comprehensive visibility, however, it is not required. Cloud Network Monitoring requires the purchase of an Infrastructure Pro or Enterprise plan for every host that CNM is monitoring. Network Device Monitoring only requires the purchase of one or more infrastructure hosts which are used to poll devices.

How do you define a device?

A device is a physical or virtual appliance with a unique IP address that is polled using SNMP.

How do you define a NetFlow record?

NetFlow is a network protocol created by Cisco that describes the flow of traffic across network devices. We support all NetFlow versions, including jFlow, sFlow, IPFIX or standard NetFlow v5 or v9. The Datadog agent aggregates raw NetFlow data overtime to send on a regular basis (the default being 5 mins, this can be customized).

What are retention options for NetFlow Monitoring?

We offer 15, 30, 60, and 90 day retention for NetFlow records with the default retention being 30 days. Please for additional retention durations and inquires about pricing.

Do I need to purchase other Datadog products to use CNM or NDM?

Having all your infrastructure, traces, logs, and network information under one roof is something we encourage for comprehensive visibility, however, it is not required. Cloud Network Monitoring requires the purchase of an Infrastructure Pro or Enterprise plan for every host that CNM is monitoring. Network Device Monitoring only requires the purchase of one or more infrastructure hosts which are used to poll devices.

What is the difference between a CNM flow and NetFlow Monitoring (NDM) ?

CNM infers flow data from eBPF data it collects from the Datadog agent running on a customer host. Netflow monitoring receives flow records from physical network equipment, which today are more extensive in their information than CNM flow data. CNM flow data is used to troubleshoot host, container, and other cloud software connection issues. NetFlow Monitoring records are used to troubleshoot physical network connectivity issues and perform capacity planning.

Which devices qualify and do not qualify for the wireless AP SKU?

The Wireless AP SKU is focused on wireless APs that support OOTB API integrations built by NDM, such as Cisco Meraki. Devices that don’t qualify for this SKU include:

• APs monitored directly via SNMP
• Cisco Meraki devices: Switches, Appliances, Wireless LAN Controllers(WLC), and Cellular Gateways
• APs monitored by WLCs

How do you define a test?

A test is a combination of TCP/UDP/ICMP traceroutes and multiple probes that traverse the network from the source to the defined destination. Each test collects information about the network, such as RTT and packet loss.

Where can I run Network Path tests from?

You can run Network Path tests from anywhere you’re running the Datadog agent, including both hosts and End User Devices, as well as from Datadog’s Managed Synthetic Locations.

Can Network Path monitor internal and external services?

Yes, while Network Path can show internal VPC-to-VPC traffic, it can also point to external hostnames. This can help prove to a SaaS vendor that an outage is happening on their end or within the public internet, rather than within your network.

Is there a difference in price between running Network Path from a Datadog agent versus a Synthetic location?

No, it’s all the same price for Network Path regardless of where the test is being run from.

Sensitive Data Scanner

Starting At

• Out-of-the-box and customizable detection rules

• Sensitive data detection across all ingested data, regardless of source

*Sampling must be disabled to obfuscate sensitive data
**Billed annually or $0.045 on-demand

Sensitive Data Scanner

Starting At

• Out-of-the-box and customizable detection rules

• Sensitive data detection across all ingested data, regardless of source

• Automatically obfuscate (hash, redact, or mask) detected sensitive data.

*Billed annually or $0.45 on-demand

• Real-time sensitive data detection

• Out-of-the-box and custom rule capabilities

• Fully integrated with Datadog role-based access control (RBAC)

• Stream-based pattern matching across your data

• Granular control over data scanning and classification with scanning groups

• Fully integrated with Datadog alerts and dashboards for compliance tracking and investigation

• Correlate data using standard and custom tags

• Supports data from Log Management, APM, RUM, and AWS cloud storage resources

• Help protect data on-premises or in the cloud

When Combined with Other Plans

• Pivot seamlessly to related metrics, traces, and logs during investigations

• Correlate security signals and detailed observability data

Service and Support

• Technical support across chat and email

• Community Forum and Online Docs

• Plans with the right level of support for your organization

Universal Service Monitoring

Starting At

• Automatically discover all 1st and 3rd party services and their dependencies

• Monitor real-time performance metrics of every service in one place

• Standardize monitoring best practices across all teams

*Requires purchase of Infrastructure Monitoring
**Billed annually or $13 on-demand

Application Performance Monitoring

Starting At

• Automatically discover all 1st and 3rd party services and their dependencies

• Monitor real-time performance metrics of every service in one place

• Standardize monitoring best practices across all teams

*Billed annually or $36 on-demand

• Automatic service discovery with no code changes

• Real-time service dependency map

• Real-time throughput, error, and latency metrics

• Easy-to-set-up SLOs with consistent SLIs

• Machine learning-based monitors

• Automatically populated Service Catalog

• Service ownership management

• Source code and Pagerduty integrations

• Drag & drop dashboards with template variables

• Support for every programming language

When Combined with Other Plans

• Pivot seamlessly to related metrics, traces, logs and code profiles during investigations

• Correlate service performance and reliability with security signals

Service and Support

• Technical support across chat and email

• Community Forum and Online Docs

12-months analysis & retention

Starting At

• More than 800, and growing, out-of-the-box detection rules maintained by Datadog’s detection engineering experts

• Autonomously investigate security alerts with Bits Security Analyst**

• Logs are analyzed in real time for detection within seconds

• Threat hunt and investigate across 12-months of security data using our easy-to-use log search tools

• Reduce time to insight in complex cloud environments using our graph-based, entity-focused investigation tools

• Accelerate mean time to response with automation workflows***

Cloud SIEM is billed annually or $7.50 on-demand
**Includes allotment of 100 free monthly Bits Security Analyst investigations per 1 billion events (minimum of 50 free monthly investigations)
***Workflows are billed separately

Detection & Prioritization

• Detect threats in seconds, not minutes or hours

• Out-of-the-box detection rules identifying potential malicious behavior

• SQL-based detections powered by normalized OCSF datasets

• Signals embedded with MITRE ATT&CK® and playbook guidance

• Risk-based insights that score and prioritize users, services, and cloud resources

• Risk Insight Notifications when entities exceed customizable risk thresholds

• User and Entity Behavior Analytics (UEBA) to detect anomalous or risky behavior

AI-Powered Investigation

• Bits Security Analyst for autonomous signal triage and investigation

• AI-generated verdict recommendations and investigation summaries

• Embedded notebooks to launch hunts and generate new detections in-platform

Threat Intelligence

• Native integrations with leading threat intelligence providers like Recorded Future

• IoC Explorer to centralize and operationalize indicators of compromise

Investigation & Response

• Investigate cloud entities using graph-based visualizations

• Pivot seamlessly to related metrics, traces, and logs during investigations

• Collaborate quickly and easily between developers, operations, and security teams using built-in case management and incident management tools

• Enhanced Security Case Management with tighter signal-to-case integration

Content & Data Platform

• Growing library of out-of-the-box integrations for essential security tools

• Activate bundled security content with out-of-the-box content packs to get started quickly

• Dynamic, customizable dashboards

• OCSF Processor for transforming and enriching security logs at ingest

• Designate all or specific data for analysis through in-app or API security filters

• Easy-to-use query language and search tools

Scale & Operations

• All security log and signal data retained and indexed for 12 months

• Unlimited user accounts

• Deployment in minutes

When Combined with Other Plans

• Correlate security signals and detailed observability data

• Accelerate response with Workflow Automation

Service and Support

• Easy access to support via chat or email

• Join active online community forum for discussions and resolutions to questions

• Access extensive online documentation to expand skills and product knowledge

• Select from support plans right-sized for your organization

• Automated failover of telemetry pipelines to a secondary Datadog site during cloud region outages

• Continuity for dashboards, monitors, and alerting with no re-instrumentation required

• Purpose-built for enterprise disaster recovery and business continuity requirements

Pricing is based on the scope of observability coverage included in your disaster recovery plan. for a custom quote. Available in all regions except GovCloud (us1.fed).

Starting At

• Get full visibility into user access and platform changes across all services, empowering DevOps and compliance teams with context-rich insights.

*Billed annually or 3% on-demand

• Audit all access and configuration activity across Datadog Platform

• Search and analyze detailed audit events for up to 90 days

• Archive audit events for long-term retention

• Fully integrated with Datadog alerts and dashboards for compliance tracking and investigation

• Alert on critical events such as changes in index retention

• Fully Integrated with Datadog role-based access control (RBAC)

When Combined with Other Plans

• Pivot seamlessly to related metrics, traces, and logs during investigations

• Correlate security signals and detailed observability data

Service and Support

• Technical Support (Chat and Email)

• Community Forum and Online Docs

CSM Pro

Starting At

Continuous scanning across your entire cloud infrastructure with a combination of agent and agentless scanning

• Cloud Security Posture Management (CSPM)

• Kubernetes Security Posture Management (KSPM)

• Built-in mapping of your resources to compliance frameworks to help with audits

• Vulnerability Management (VM) for Containers & Hosts

• Cloud Infrastructure Entitlement Management (CIEM)

• Comprehensive inventory of cloud resources & linked risks

• Case management

• Workflows to automate remediation

*Billed annually or $12 on-demand

CSM Enterprise

Starting At

Includes everything in CSM Pro, as well as:

• File integrity monitoring

• Workload Protection for Linux, Windows Kubernetes, Docker, and AWS Fargate ECS/EKS

• Increased container allotment (20 containers allotted per host license**)

*Billed annually or $30 on-demand
**Additional containers billed at $0.002 / hr per container

Who is this for?

CSM Pro is built to support multiple teams in discovering their existing cloud infrastructure, identifying issues that require attention, and evaluating their compliance readiness with cloud security posture management, all while providing guidance on how to address those gaps effectively.

Can I purchase CSM Pro for some hosts, and CSM Enterprise for the rest of my hosts?

No, you may either purchase CSM Pro or CSM Enterprise for your organization, but not both.

What kind of billing plan do I need to run CSM Pro?

CSM Pro can be purchased without needing any other Datadog plan. It does not require the purchase of an Infrastructure Monitoring plan.

What counts as a billable host?

A host is any physical or virtual OS instance that you protect with Datadog using agent or agentless technology. It could be a server, VM, node (in the case of Kubernetes) or an App Service Plan instance (in the case of Azure App Services).

What capabilities are included?

Continuous scanning for misconfigurations, vulnerability management for containers and hosts, a full inventory of your cloud resources, case management, and 5 workflow executions per host per license.

What does setup involve?

Getting started requires cloud provider integrations and optionally the unified Datadog agent.

Who is this for?

CSM Enterprise is an advanced solution tailored specifically for security-minded teams that quickly maps, identifies, and prioritizes misconfigurations, threats, vulnerabilities and identity risks across their entire cloud infrastructure.

Can I purchase CSM Pro for some hosts, and CSM Enterprise for the rest of my hosts?

No, you may either purchase CSM Pro or CSM Enterprise for your organization, but not both.

What kind of billing plan do I need to run CSM Enterprise?

Every billable CSM Enterprise host requires the purchase of Enterprise Infrastructure Monitoring.

What capabilities are included?

Continuous scanning for misconfigurations, vulnerability management for container images and hosts, real-time threat detection, cloud infrastructure entitlement management, anomalous workload profile detection, a full inventory of your cloud resources, case management, 20 workflow executions per host, and 20 containers included per host license.

Is Infrastructure Monitoring Pro or Enterprise required on every CSM Enterprise Host

Yes, for example, if you subscribe for 10 CSM Enterprise Hosts, those hosts must also be subscribed for 10 Infrastructure Pro or Enterprise hosts. This applies to both committed and non-committed host usage.

What does setup involve?

Getting started requires cloud provider integrations and optionally the unified Datadog agent.

Why are Workload Protection and CSM Pro listed on my bill?

If you are using CSM Enterprise on demand, your bill will temporarily show the line items CSM Pro and Workload Protection. Those will be transitioned out by the end of year and replaced by a line item for CSM Enterprise only.

What counts as a billable host?

A host is any physical or virtual OS instance that you monitor with Datadog. It could be a server, VM, node (in the case of Kubernetes) or App Service Plan instance (in the case of Azure App Services).

Starting At

• Detect slowdowns anywhere in your event-driven applications

• Localize and resolve pipeline bottlenecks and failures

• Remediate floods of backed-up messages

*Billed annually or $18 on-demand

• Out-of-the-box pipeline topology mapping

• Consumer lag and partition metrics

• End-to-end latency and throughput metrics

• Recommended monitors

• Correlated telemetry: traces, logs, and infrastructure metrics

• Schema tracking

• Team ownership information

• Custom dashboards

• Unlimited users

Datadog Cost Visibility

Starting At

Control your Datadog Costs

• Access cost data via MCP

• Surface costs in team dashboards

• Catch cost spikes early with alerts and anomaly detection

• Forecast spend to stay ahead of changes

• Set budgets and stay on track

Limited to Datadog costs only

Pro

Starting At

Understand and optimize your cloud & SaaS costs

Everything included in Datadog Cost Visibility, plus:

• Surface Kubernetes cost visibility automatically

• Allocate costs and generate finance-ready reports

• Drive optimization with actionable recommendations

• Investigate cost spikes with a FinOps agent for root cause analysis

*Billed annually or $7.20 on-demand

Enterprise

Starting At

Enterprise-grade FinOps with automation and governance

Everything included in Pro, plus:

• Allocate shared costs precisely with Datadog metrics

• Gain real-time cost visibility from observability data

• Manage complex budgets across teams with hierarchical controls

*Billed annually or $15 on-demand

When Combined with Other Plans

• Pivot seamlessly to Service Catalog to understand Service performance

• Unify cost data with observability data to understand cost drivers

Service and Support

• Technical Support (Chat and Email)

• Community Forum and Online Docs

• Plans with the right level of support for your organization

Starting At

• Track normalized query performance trends using database-generated metrics

• Correlate query performance with database infrastructure metrics

• Access all of your database insights, database hosts, clusters, and applications

• Extract valuable data without compromising database security

*Billed annually or $84 on-demand

• AI-powered root cause analysis agent

• In-depth explain plans

• Out-of-the-box slow query detection

• 200 normalized queries allotted per host

• Automatic PII obfuscation from all query data

• No code instrumentation needed

• Unlimited user accounts

• Automatically detect, test, and deploy optimizations for your databases

• Tag-based query filtering and grouping

• Access to hundreds of relevant database metrics

• Total visibility into your Postgres, MySQL, SQL Server, Oracle, MongoDB, ClickHouse, and Supabase databases whether self-hosted or managed

• Out-of-the-box database list with active connections and in-depth wait event analysis

When Combined with Other Plans

• Set triggers to alert teams on abnormal query trends

• Visualize and easily share insights with key stakeholders via Datadog Screenboards

• Out of the box support for dashboards, monitors, SLOs and advanced formulas and functions

Service and Support

• Technical support across chat and email

• Community Forum and Online Docs

• Plans with the right level of support for your organization

Starting At

Billed per GB of uncompressed data ingested
**Billed annually or $0.12 on-demand

• Predictable pricing and accounts for spike and changes in volume with vCPU pricing

• Aggregate logs from a variety of sources

• Make decisions before data leaves your environment

• Control costs by filtering or sampling noisy or uninteresting logs

• Reduce the size of events by dropping unnecessary fields

• Easily dual ship logs to destinations

• Store logs in an archive of your choosing and explore them via Archive Search

• Redact sensitive data with custom rules or with Sensitive Data Scanner library rules

• Easily scale to petabytes of logs per day

• Remotely deploy changes to any pipelines running in your infrastructure

• Monitor the health of all of your telemetry pipelines at scale

• Identify bottlenecks and verify data delivery in all your pipelines

Service and Support

• Technical support (Chat and Email)

• Community Forum, Robust Open Source Community, and Online Docs

Starting At

• Detect OWASP attacks in real-time

• Protect web application by blocking suspicious requests or bad actors

• Investigate with runtime execution context and attack flow

*Billed annually or $36 on-demand

• Context rich signals by leveraging distributed traces

• Pivot to observability telemetry during investigations

• Deployment in minutes

• Unlimited user accounts

• 15-month retention of security signals

• 90 day retention of suspicious requests

When Combined with Other Plans

• One interface to correlate application threats with host & workload level threats or misconfiguration

Service and Support

• Technical Support (Chat and Email)

• Community Forum and Online Docs

Starting At

*No minimum scan size. No scan limits. Customers are billed proportionally to scan volume. Rehydrating logs or electing to retain results for longer than 24 hours will incur indexing costs.
**Billed annually at $0.05 per GB of committed scan capacity or monthly at $0.07 per GB scanned on-demand

• Scan archived logs anytime with on-demand billing or committed monthly capacity for predictable, economical pricing

• Sample queries before scanning, then explore correlated results immediately as they stream in

• Define favorite attributes on your archives to narrow scans, reducing cost and query time

• Retain up to 100K results for 24 hours with no indexing charges

Clusters

Databricks and Apache Spark

Starting At

Observe, troubleshoot, and optimize jobs running on clusters

• Monitor Databricks and Spark jobs running on K8s, Amazon EMR and Google Dataproc

• Detect failing and long-running jobs

• Quickly pinpoint and resolve the root cause of failed and long-running jobs

• Reduce costs by optimizing misallocated clusters and inefficient jobs

*Billed annually or $0.072 on-demand

Serverless

Databricks

Starting At

Observe, troubleshoot, and optimize jobs running on serverless compute

• Monitor Databricks serverless jobs

• Detect failing and long-running jobs

• Quickly pinpoint and resolve the root cause of failed and long-running jobs

• Recommendations to optimize code and queries

*Billed annually or $0.72 on-demand

Orchestrators

Airflow and dbt

Starting At

Observe and troubleshoot pipeline orchestrators jobs

• Monitor Airflow DAGs and tasks; DBT jobs and models

• Detect failing and long-running jobs

• Quickly pinpoint and resolve the root cause of failed and long-running jobs

*Billed annually or $0.144 on-demand

Starting At

• Proactively identify data issues before downstream BI and AI applications are impacted

*Billed annually or $24 on-demand

• Out-of-the-box data quality monitors like row count, freshness, uniqueness, and nullness

• Bulk monitor creation using tags and rules

• Anomaly detection powered by machine learning and built for data quality, adapting to seasonality, trends, and annotations

• Flexible alert configuration with manual thresholds, custom SQL, and GROUP BY monitors

• Column-level data warehouse lineage derived from query history

• End-to-end lineage from warehouse to downstream systems and BI tools

• Platform correlation with Data Streams Monitoring and Jobs Monitoring

• OpenLineage support for custom and open-source tools

Static Code Analysis (SAST)

Starting At

Secure 1st party code in development

• Integrate security directly into developers’ IDEs for real-time feedback

• Integrate SAST into CI/CD pipeline for automated, continuous security

• Apply suggested code fixes from inline pull request comments during code review

*Billed annually or $36 on-demand

Software Composition Analysis (Static SCA)

Starting At

Secure 3rd party code in development

• Identify vulnerabilities in open-source libraries and dependencies directly within the development pipeline before deployment

• Automatically generate a Software Bill of Materials (SBOM) to maintain visibility into all open-source dependencies

• Ensure compliance by detecting and analyzing open-source licenses used in your applications

*Billed annually or $36 on-demand

Infrastructure-as-Code (IaC) Security

Starting At

Secure your infrastructure configurations

• Scan Terraform, CloudFormation, and Kubernetes configurations

• Detect misconfigurations and security vulnerabilities

• Policy-as-code enforcement for compliance requirements

• Integration with CI/CD pipelines for shift-left security

*Billed annually or $22 on-demand

Secret Scanning

Starting At

Detect and remediate exposed secrets

• Scan repositories for exposed API keys, passwords, and credentials

• Real-time detection of secrets in commit and pull requests

• Verify active secrets through third-party validation

• Automate alerting and triage to accelerate incident response

*Billed annually or $22 on-demand

Runtime Code Analysis (IAST)

Starting At

Secure 1st party code at runtime

• Find vulnerabilities in the code of applications in production in real time

• Prioritize the remediation of the highest-risks vulnerabilities with real-time observability context

• Quickly find the source of any vulnerability with code snippets and speed up the remediation process

*Billed annually or $29 on-demand

Software Composition Analysis (Runtime SCA)

Starting At

Secure 3rd party code at runtime

• Find vulnerabilities in open source libraries and their dependencies in production in real-time

• Prioritize the remediation of the highest-risk vulnerabilities with real-time observability context

• Reduce mean-time-to-remediate with actionable remediation guidance

*Billed annually or $15 on-demand

Code Security

Starting At

Secure your custom code and software supply chain

• Secure and maintain custom code and open source libraries in your repositories, along with IDE and CI/CD integrations

• Prioritize fixes with runtime context for both code and library vulnerabilities

• Manage and track remediation of findings in one place

*Billed annually or $57.60 on-demand