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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Learn why Elastic was named a Visionary in the 2021 Gartner Magic Quadrant for Application Performance Monitoring.
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Capture and analyze distributed transactions spanning microservices, serverless, and monolithic architectures, including support for AWS Lambda, auto-instrumentation, and popular languages like Java, .NET, PHP, Python, Go, and more. Investigate each tier from the client to the application and cloud services with enriched transaction metadata and tagging for faster analysis. Minimize downtime and optimize customer experience by annotating transactions with customer data and deployment markers.
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. Get fine-grained control over sampling conditions with tail-based sampling of transactions for optimal visibility.
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.
Automatic anomaly detection using machine learning along with latency, error, and failure correlations makes finding problems (even those hard to pin down intermittent problems!) easy compared to traditional monitoring techniques.
Identify and quantify application performance changes with continuous visibility during new or “blue vs. green” deployments. Find the root cause of the problem, narrowing down to a release, version or troublesome nodes alongside access to contextual traces, logs, and metrics. Get insight into error-prone jobs, slow builds, and flaky tests with Elastic contributed open standards based OpenTelemetry plugins for Jenkins, Maven and Ansible.
Support for open standards includes native support for the OpenTelemetry protocol, W3C trace context, and Jaeger. OpenTelemetry and open standard data sources future-proof your observability investments by providing maximum flexibility and reducing the cost of future integration efforts.
Learn why Elastic Observability was named a Visionary in the 2022 Gartner® Magic Quadrant™ for APM and Observability.