Datadog Serverless Monitoring for Azure

• Identify critical application issues and pivot to relevant traces or logs with one click.
• Alert in real time on memory, timeout, and concurrency metrics to avoid poor end-user experiences.
• Optimize serverless environments by pinpointing which resources are generating errors, high latency, or cold starts.

Trace Anywhere

• Ingest, search, and analyze 100% of traces live over the last 15 minutes.
• Visualize distributed microservices in the Service Map and slice by tags like function, customer, version, and more.
• Trace microservice calls across your stack to get end-to-end visibility into customer requests.
• Trace across any infrastructure.

Serverless Observability

• End-to-end monitoring for serverless applications.
• Isolate an individual customer request and drill down to the associated logs and metrics for the full story.
• Reduce alert fatigue for your on-call teams with machine learning-based anomaly, outlier, and forecasting monitors.
• Search and filter using tags like service, customer, or error code to troubleshoot ephemeral functions.

Correlate Business Metrics

• 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.
• Visualize and analyze key business metrics through customizable dashboards.

Unified Serverless View

• Zero instrumentation observability with our AWS SAM, Serverless Framework, and AWS CDK integrations.
• Visualize the health of your serverless architecture—including APIs, queues, databases, and more—in a single unified platform.
• Correlate the impact of serverless deployment and configuration changes with critical metrics, traces, and logs.
• Unified visibility into serverless applications.