Application Performance Monitoring (APM)

Accelerate development and improve your application code

Whether you're new to Elastic Observability or you're already housing logs and system metrics in Elasticsearch you can seamlessly adopt APM to quickly identify and resolve root cause issues with correlated traces, logs, and metrics. Get deeper visibility into your applications with extensive support for popular languages, OpenTelemetry, and distributed tracing. Use machine learning to quickly correlate infrastructure and application metadata to determine outliers and identify abnormal behavior.

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Application Performance Monitoring charts and graphs

Start streaming, viewing, and analyzing APM traces from your applications using Elastic Cloud in minutes.

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Learn why Elastic was named a Visionary in the 2021 Gartner Magic Quadrant for Application Performance Monitoring.

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Get a rundown of the latest features and see Elastic APM in action with a demo from the experts.

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Improve code quality with end-to-end distributed tracing

Capture and analyze distributed transactions spanning microservices and monolithic architectures. Investigate each tier from client to the application services with enriched transaction metadata including deployment markers, for faster analysis to minimize downtime and optimize customer experience. Derive valuable information by tagging each transaction with customer metrics/metadata for easier analysis. Scalable and flexible architecture welcomes full fidelity, 100% transaction sample capture, storage, analytics, and search with the added dials to scale sampling up or down as needed.

Quickly identify application problems with dependency mapping

Identify performance issues with automated and curated visual representation of all dependencies, including cloud, messaging, data store, and third-party services and their performance data. Drill into anomalies, transaction details, and metrics for deeper analysis.

Automate anomaly detection for instant root cause analysis

Simplify the investigation of microservices and distributed architectures for DevOps and SRE teams. Automatic anomaly detection using machine learning along with latency and error correlations makes finding problems even those intermittent problems easy compared to traditional monitoring techniques.

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Deploy with confidence and accelerate the application delivery pipeline

Identify and quantify application performance changes with continuous visibility during new or “blue vs. green” deployments. Find the root cause of the problems, narrowing down to a release, version or troublesome nodes while having access to contextual traces, logs, and metrics. Observability provides application performance monitoring and visibility from pipeline to production.

Developer-friendly, open standards support

Support for open standards including OpenTelemetry, W3C trace context, and Jaeger — allowing you to directly ingest application telemetry data collected by OpenTelemetry agents. OpenTelemetry and open standard data sources future-proof your observability investments by providing maximum flexibility and reducing the cost of future integration efforts.