Optimize serverless environments by pinpointing which resources are generating errors, high latency, or cold starts.

Alert in real time on memory, timeout, and concurrency metrics to avoid poor end-user experiences.

Identify critical application issues and pivot to relevant traces or logs with one click.

Visualize distributed microservices in the Service Map and slice by tags like function, customer, version, and more.

Trace across any infrastructure.

Trace microservice calls across your stack to get end-to-end visibility into customer requests.

Ingest, search, and analyze 100% of traces live over the last 15 minutes.

Isolate an individual customer request and drill down to the associated logs and metrics for the full story.

End-to-end monitoring for serverless applications.

Search and filter using tags like service, customer, or error code to troubleshoot ephemeral functions.

Reduce alert fatigue for your on-call teams with machine learning-based anomaly, outlier, and forecasting monitors.

Visualize and analyze key business metrics through customizable dashboards.

Collect and correlate business and health metrics.

Reduce data silos with a single source of truth for dev, ops, and business teams.

Collect custom metrics directly from your functions to analyze data like the number or value of items in a cart.

Unified visibility into serverless applications.

Correlate the impact of serverless deployment and configuration changes with critical metrics, traces, and logs.

Visualize the health of your serverless architecture—including APIs, queues, databases, and more—in a single unified platform.

Zero instrumentation observability with our AWS SAM, Serverless Framework, and AWS CDK integrations.