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VOOZH | about |
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VOOZH | about |
The only agent that thinks for itself
Autonomous Monitoring with self-learning AI built-in, operating independently across your entire stack.
Centralized metrics streaming and storage
Aggregate metrics from multiple agents into centralized Parent nodes for unified monitoring across your infrastructure.
Fully managed cloud platform
Access your monitoring data from anywhere with our SaaS platform. No infrastructure to manage, automatic updates, and global availability.
Deploy Netdata Cloud in your infrastructure
Run the full Netdata Cloud platform on-premises for complete data sovereignty and compliance with your security policies.
Powerful, intuitive monitoring interface
Modern, responsive UI built for real-time troubleshooting with customizable dashboards and advanced visualization capabilities.
Monitor on the go
Native iOS and Android apps bring full monitoring capabilities to your mobile device with real-time alerts and notifications.
The future of infrastructure observability
See our strategic direction across AI-native observability, full-stack signals, operational intelligence, and enterprise platform maturity.
Best energy efficiency
True real-time per-second
100% automated zero config
Centralized observability
Multi-year retention
High availability built-in
Zero maintenance
Always up-to-date
Enterprise security
Complete data control
Air-gap ready
Compliance certified
Millisecond responsiveness
Infinite zoom & pan
Works on any device
Native performance
Instant alerts
Monitor anywhere
AI-native observability
Continuous delivery
Open source foundation
80% Faster Incident Resolution
True Real-Time and Simple, even at Scale
90% Cost Reduction, Full Fidelity
See and Map Your Entire Network
Single Pane of Glass
Control Without Surrender
Integrations
800+ collectors and notification channels, auto-discovered and ready out of the box.
Reduced monitoring costs by 46% while cutting staff overhead by 67%.
— Leonardo Antunez, Codyas
No data shipping. No central storage costs. Query at the edge.
So many out-of-the-box features! I mostly don't have to develop anything.
— Simon Beginn, LANCOM Systems
Point-and-click troubleshooting. No PromQL, no LogQL, no learning curve.
Enterprise efficiency without enterprise complexity—real ROI from day one.
— Leonardo Antunez, Codyas
Zero data egress. Only metadata reaches the cloud. Your metrics stay on your infrastructure.
Auto-discovered and configured. No manual setup required.
Slack, PagerDuty, Teams, email, webhooks—all built-in.
Built for the People Who Get Paged
Every Industry Has Rules. We Master Them.
Monitor Any Technology. Configure Nothing.
Complete Visibility. Total Control.
Don't Take Our Word for It
Netdata gives more than you invest in it. A rare unicorn that obeys the Pareto rule.
— Eduard Porquet Mateu, TMB Barcelona
Reduced website downtime by 99% and cloud bill by 30% using Netdata alerts.
— Falkland Islands Government
Optimized resource allocation based on Netdata alerts cut cloud spending by 30%.
— Falkland Islands Government
Reduced monitoring staff by 67% while cutting operational costs by 46%.
— Codyas
Netdata has agent capacity or a plugin for everything, including Windows and Kubernetes.
— Eduard Porquet Mateu, TMB Barcelona
So many out-of-the-box features! I mostly don't have to develop anything.
— Simon Beginn, LANCOM Systems
From 2-3 minutes to 30 seconds—instant visibility into any node issue.
— Matthew Artist, Nodecraft
20% less downtime and 40% budget optimization from out-of-the-box monitoring.
— Simon Beginn, LANCOM Systems
Pay per Node. Unlimited Everything Else.
One price per node. Unlimited metrics, logs, users, and retention. No per-GB surprises.
What's Your Monitoring Really Costing You?
Most teams overpay by 40-60%. Let's find out why.
Your Infrastructure Is Unique. Let's Talk.
Because monitoring 10 nodes is different from monitoring 10,000.
Monitoring That Sells Itself
Deploy in minutes. Impress clients in hours. Earn recurring revenue for years.
Per-Second Metrics at Homelab Prices
Same engine, same dashboards, same ML. Just priced for tinkerers.
$1,000 Per Referral. Unlimited Referrals.
Your colleagues get 10% off. You get 10% commission. Everyone wins.
"Netdata's significant positive impact" — LANCOM Systems
Compare vs Datadog, Grafana, Dynatrace
"Cut costs by 46%, staff by 67%" — Codyas
"Reduced cloud bill by 30%" — Falkland Islands Gov
"Better observability with Netdata than combining other tools." — TMB Barcelona
DPA, SLAs, on-prem, volume pricing
One command, 30 seconds, real data—no sandbox needed
Auto-config + per-node pricing = predictable profit
8-episode Netdata tutorial by LearnLinux.tv
3rd most starred monitoring project
Customers report 40-67% cost cuts, 99% downtime reduction
Free tier lets them try before they buy
AI Support Assistant, Available 24/7
Nedi has access to all official documentation, source code, and resources. Ask any question about Netdata—responds in your language.
Engineering Insights & Product Updates
Jun 2026
Network Monitoring, the Netdata Way: …
Interface counters tell you a port is busy. …
Jun 2026
5 Best SolarWinds Alternatives for 2026
As organizations modernize their …
Jun 2026
SolarWinds Price Increases 2026: What …
If you’re a SolarWinds customer facing …
May 2026
High-cardinality metrics at scale: why …
The “high cardinality is …
Never Fight Fires Alone
Docs, community, and expert help—pick your path to resolution.
60 Seconds to First Dashboard
One command to install. Zero config. 850+ integrations documented.
Level Up Your Monitoring
76,000+ Engineers Strong
Per-Second. 90% Cheaper. Data Stays Home.
See why teams switch from Datadog, Prometheus, Grafana, and more.
> Browse all comparisonsTrace issues directly in the source code
Get architecture recommendations
One of the most popular open-source monitoring projects
Enterprise-grade security and compliance
Your metrics stay on your infrastructure
"Most energy-efficient monitoring solution" — ICSOC 2023, peer-reviewed
"Doesn't miss alerts—mission-critical trust for safety software"
Global community improving monitoring for everyone
Trusted by teams worldwide
Free forever, fully open source agent
Work from anywhere, async-friendly culture
Your work helps millions of systems
Manufacturing moves at machine speed - your monitoring should too. Netdata delivers per-second visibility across production lines, SCADA systems, and industrial infrastructure with ML-powered anomaly detection that catches problems before they cascade into costly downtime.
Edge-native architecture designed for the demands of modern production environments
ML-powered root cause analysis cuts MTTR from hours to minutes by automatically correlating anomalies across production systems, equipment sensors, and infrastructure metrics.
Predictable per-node pricing with unlimited metrics and logs. No surprise bills from data volume spikes or custom metrics - flat pricing regardless of cardinality or volume.
Capture microbursts and transient failures invisible to minute-averaged monitoring. See the exact sequence of events during equipment failures and production anomalies.
18 unsupervised models per metric train automatically within 15 minutes. No labeled data, no tuning, no data science expertise - just instant anomaly detection on every metric.
Process and analyze data where it’s generated - on production servers, edge gateways, and HMI workstations. Maintain full visibility even during network outages.
All metrics and logs stay on your infrastructure. Zero cloud storage means automatic compliance with data residency requirements and protection of proprietary production data.
Trusted by manufacturers worldwide
99% false positive reduction
Learn about ML anomaly detection
90% cost reduction
See transparent pricing
800+ integrations
View all integrations
Minutes to root cause
Explore AI features
60 seconds to first insight
Quick start guide
100,000+ nodes proven
Architecture deep dive
Manufacturing Monitoring Comparison
Traditional monitoring wasn’t built for manufacturing’s unique demands - real-time production visibility, predictable costs, and data sovereignty. See how Netdata’s edge-native architecture solves what centralized platforms can’t.
Capability
Netdata
Traditional Monitoring
Data Granularity
✅ Per-Second
Capture microbursts and transient failures
⚠️ Per-Minute Average
Misses 90% of production anomalies
Cost Model
✅ Predictable Per-Node
Unlimited metrics, logs, ML included
❌ Volume-Based Pricing
Per-metric charges, data penalties
Deployment Time
✅ 60 Seconds
Auto-discovery, algorithmic dashboards
⚠️ Weeks to Months
Manual configuration, dashboard building
ML Anomaly Detection
✅ Ideal - Every Metric
18 models per metric, zero config
⚠️ Limited Coverage
Requires tuning, selected metrics only
Data Location
✅ On-Premises Always
Zero cloud storage, full sovereignty
❌ Vendor Cloud Required
Data egress, compliance challenges
MTTR Reduction
✅ 80% Faster
AI root cause analysis, correlation
⚠️ Manual Investigation
Tool switching, slow correlation
ML False Positive Rate
✅ 99% Reduction
18-model unanimous agreement
⚠️ High Noise Levels
Fixed thresholds, frequent false alerts
MES/SCADA Integration
✅ SQL + REST + SNMP
Direct database queries, API collectors
⚠️ Limited or Complex
Custom development, integration work
Skill Requirements
✅ Point and Click
No query languages, auto dashboards
❌ PromQL/SQL Expertise
Specialized training, steep curve
Scalability
✅ Linear to 100K+ Nodes
Edge processing, no bottlenecks
⚠️ Exponential Complexity
Central database limits, sharding
Core capabilities that make Netdata ideal for production environments
SQL collectors query MES databases directly for OEE, cycle times, throughput, and downtime. Real-time dashboards update every second with production KPIs correlated to infrastructure health.
Auto-discovery scans networks, automatically configuring appropriate collectors for switches, sensors, and UPS systems with extensive device profile support.
Windows performance counters, process monitoring, and systemd-journal logs for SCADA applications. Monitor HMI workstations, historian servers, and control systems comprehensively.
Native SQL collectors for MySQL, PostgreSQL, Oracle, and MSSQL. Extract production data, quality metrics, and inventory levels with configurable YAML queries - no ETL pipelines.
RabbitMQ, ActiveMQ, NATS, and Pulsar collectors monitor queue health, throughput, and latency. Detect message processing bottlenecks affecting production data flow.
Auto-discover all containers and pods with per-second resource metrics. Track lifecycle events, monitor orchestrator health, and correlate container issues with production impact.
IPMI, lm-sensors, and SNMP collectors for temperature, humidity, power, and voltage monitoring. Prevent equipment damage from environmental conditions.
Per-second bandwidth, latency, packet loss, and connection tracking. Detect network congestion affecting SCADA communications and production data transfer.
Direct systemd-journal access eliminates log shipping infrastructure. Query millions of log entries instantly with full-field indexing - 90% cost reduction vs traditional log management.
June 24, 2026
Netdata has added NPM-class network monitoring: live topology maps, NetFlow and sFlow traffic analysis, SNMP device and trap monitoring, and a dedicated network dashboard, all unified with your full-stack observability and processed at the edge.
June 23, 2026
Discover the top SolarWinds alternatives for 2026. Compare modern monitoring platforms built for cloud-native infrastructure - now with NPM-class network monitoring - with transparent pricing and real-time insights.
June 23, 2026
Understanding SolarWinds' subscription-only pricing changes following the Turn/River Capital acquisition, and exploring your options for infrastructure monitoring.
Netdata monitors PLCs via SNMP and through Prometheus exporters for Modbus RTU/TCP and OPC-UA protocols. For comprehensive Level 0-1 monitoring, we recommend combining Netdata with specialized SCADA platforms while using Netdata for Level 2-4 (servers, databases, MES, ERP) where it excels.
Netdata integrates at multiple levels: (1) SQL collectors query MES databases directly for production KPIs like OEE and cycle times, (2) REST API collectors connect to SCADA/MES APIs, (3) SNMP monitors SCADA server hardware, (4) Process monitoring tracks SCADA application health, (5) systemd-journal captures service logs. This multi-layer approach provides comprehensive visibility without modifying existing systems.
Netdata delivers 90% cost reduction compared to traditional monitoring solutions at equivalent scale. The savings come from edge processing (no cloud ingestion fees), efficient storage (0.6 bytes/sample), and flat per-node pricing with unlimited metrics, logs, and ML - no data volume penalties or per-metric charges.
Netdata’s architecture supports compliance requirements (audit trails, encryption, data retention, access controls) but is not pre-certified for FDA 21 CFR Part 11 or CMMC. Organizations use Netdata for infrastructure monitoring (non-GxP systems) which simplifies validation. For GxP systems, combine Netdata with validated MES platforms like Siemens Opcenter or Rockwell FactoryTalk.
Typical timeline: Week 1 - Deploy agents on all servers (60 seconds per server), enable SNMP for network devices. Week 2-3 - Configure SQL collectors for MES databases, add Prometheus exporters for Modbus/OPC-UA if needed. Week 4 - Review ML results (first detection available after 15 minutes, full confidence in 2 days), fine-tune alerts, train team. Total: 2-4 weeks to comprehensive coverage.
Netdata Agents continue collecting, storing, and analyzing data locally during network outages. Each agent maintains buffered data and automatically replicates to Parents when connectivity restores. Local dashboards remain accessible at http://localhost:19999 on each server. This edge-native design ensures zero data loss and continuous visibility even during network partitions.
Yes, for most manufacturing use cases. Netdata provides superior capabilities: (1) Algorithmic dashboards vs manual Grafana building, (2) Per-second vs 10-second Prometheus scraping, (3) Built-in ML vs manual threshold tuning, (4) 36% less CPU and 88% less RAM at scale (based on Netdata benchmark testing). You can run both in parallel initially, with Netdata scraping Prometheus exporters, then migrate fully once validated.
Netdata uses unsupervised k-means clustering (k=2) with 18 models per metric trained on different 6-hour windows. Models train automatically within 15 minutes of deployment, requiring no labeled data or manual tuning. Unanimous consensus across all 18 models is required before flagging anomalies, achieving 99% false positive reduction in anomaly detection.
Agents are lightweight collectors installed on every monitored system (<5% CPU, 150-200 MB RAM). Parents are centralization points that aggregate data from multiple Agents, providing long-term storage, unified dashboards, and high availability. For manufacturing: deploy Agents on production servers/HMI workstations, Parents in plant network closets, and use Netdata Cloud for multi-site visibility.
Yes. Netdata’s unsupervised ML detects equipment degradation patterns automatically - bearing wear, motor anomalies, sensor drift - without requiring labeled failure data. Integrate SNMP sensors for vibration/temperature, and ML baselines equipment behavior within 15 minutes. For specialized vibration analysis (FFT/spectral), combine with dedicated condition monitoring systems.
Netdata has no cardinality limits or penalties. Each container gets full per-second monitoring with unlimited labels and dimensions. The efficient storage engine (0.6 bytes/sample) and edge processing architecture handle millions of ephemeral containers without performance degradation. Auto-discovery tracks container lifecycle automatically - new containers appear instantly, deleted containers vanish cleanly.
Business plan includes email/ticket support during business hours with SLA. Enterprise support (24/7, phone, dedicated team) available for large deployments. Professional services include architecture design, deployment assistance, MES/SCADA integration guidance, and custom collector development. Community support via Discord and forums for open-source users.
Yes, through multiple methods: (1) IPMI and RAPL for server power consumption, (2) SNMP for PDU monitoring (APC, Eaton, Cyberpower), (3) lm-sensors for hardware power metrics, (4) Custom StatsD metrics for carbon calculations. While Netdata doesn’t have native carbon tracking, you can build sustainability dashboards using collected power data and custom carbon-per-kWh calculations.
Different focus areas: Opcenter/FactoryTalk are MES platforms (Level 2-3) with native PLC integration, OEE modules, and FDA validation. Netdata excels at IT/OT convergence (Level 2-4) with superior infrastructure monitoring, ML anomaly detection, and 90% lower cost. Best practice: Use dedicated MES for production execution, Netdata for infrastructure observability and IT/OT integration.
Minimal. Point-and-click interface requires no query languages (no PromQL, no SQL for dashboards). Algorithmic dashboards generate automatically - no manual building. Junior engineers get the same visibility as senior staff. Typical onboarding: 2 hours for basic use, 1 day for advanced features like Anomaly Advisor and AI Troubleshooting.
