Application Observability
Leverage best-in-class application performance monitoring (APM) to ensure optimal service performance and SLOs. Innovate faster, resolve issues instantly, and deliver more with less—all with telemetry in context.
Built for cloud-native and enterprise stacks
Gain real-time insights into application behavior to optimize and resolve issues faster
Automate observability for cloud native workloads and microservices
Maintain reliability and meet performance goals across fast-changing environments with:
- Real-time topology discovery of services, dependencies, and workload changes
- Intelligent baselines for latency and error rates in serverless, containerized, and Kubernetes deployments
- Health and availability tracking enriched with OpenTelemetry data
- Early detection of risks in application components and supporting services
Improve team collaboration and eliminate war rooms
Break down silos with real time application insights and end to end performance analytics through:
- AI-powered root cause and impact analysis across traces, logs, metrics, and events
- Version and deployment analytics to track changes across your environment
- Interactive exploratory analytics with advanced querying across massive data volumes
- Complete contextual view combining telemetry from all sources for end-to-end observability
Optimize database performance and application dependencies
Resolve database bottlenecks faster with full visibility into queries, health, and service relationships:
- Health metrics and performance insights for every database instance
- SQL statement execution analysis to identify slow queries
- End-to-end dependency mapping from services to databases
The 5 challenges to achieving observability at scale
Digital platforms are the backbone of modern business. In 2026 and beyond, success depends on real-time observability: actionable insights that reveal how system performance directly impacts business outcomes.
Yet many organizations struggle to get there. Automation without context. Siloed teams. Limited visibility into AI-driven systems. And an overwhelming volume, velocity, and variety of data that outpaces human capacity.
The challenges are clear, but the path forward often isn’t.
Download our free eBook to learn how to overcome these key challenges, innovate faster, and transform the way you work with AI and automation.
An observability platform buyers’ guide: Five key criteria
Improve developer productivity
Identify the source of problems with seamless signal integration
Understand details in context across a unified dataset with:
- Enterprise-scale end to end tracing
- Powerful response time and error analysis
- Logs in the context of traces
- OpenTelemetry analytics powered by Grail
Optimize application efficiency with code level insights
Reduce end user latency, sync, and locking issues with:
- Continuous production profiling with thread, CPU, and memory allocation analysis
- Deep code-level visibility down to individual methods for CPU usage and I/O bottlenecks
- Memory insights to identify leaks, excessive allocations, and performance slowdowns
- Real-time debugging data from production or any remote environment
Setting the record straight – Dynatrace is the observability leader
See why Gartner positioned us furthest for Completeness of Vision and highest for Ability to Execute in the latest Magic Quadrant.
Start your 15-day free Dynatrace trial today!
You’ll be up and running in under 5 minutes:
Sign up, deploy our agent and get unmatched insights out-of-the-box.