Datadog AWS Elastic Beanstalk Monitoring

Manage Elastic Beanstalk with Confidence

Enable low impact monitoring of all your AWS applications, cluster components, and cloud services in one place with metrics and logs
Visualize cluster deployment health with customized dashboards showcasing underlying infrastructure and application health
Gain visibility into service orchestration and container orchestration; easily manage Kubernetes pods over or under-allocating available resources via the real-time live container view and auto-generated container map
Improve operational costs and reduce excess capacity based on high-granularity historical data

Identify critical issues quickly with a real-time service map, AI-powered synthetic monitors, and alerts on latency, exceptions, code-level errors, log issues, events and more
Resolve detected problems faster with distributed request traces, logs, and infrastructure metrics all within one platform
Test hypotheses in seconds by overlaying application events onto time-synchronized graphs
Utilize Webhooks to trigger automatic rollbacks

Easily verify that your services maintain high availability through dashboard reporting, self-maintaining browser tests, and App Analytics at infinite cardinality
Quickly identify bottlenecks, inefficient code, heavy traffic issues, errors, and more with end-to-end application tracing, latency breakdowns, continuous profiling, and real user monitoring
Automatically collect, monitor, and visualize high-granularity data and custom metrics in real time, including resource usage, latency, deployment health, throughput, and availability

See inside any stack, any app, anywhere at any scale with vendor-backed integrations including AWS, Azure, GCP, and Kubernetes
Discover in-depth insights into your entire software architecture with customizable, drag-and-drop dashboards available out-of-the-box for Datadog’s 800+ integrations
Monitor the health of all your on-premise servers, cloud services, containers, databases, applications, and more

Track all key service-level indicator metrics in real time with the SLO widget
Automatically detect unanticipated outliers, anomalies, and errors with Watchdog
Proactively prevent outages and errors by alerting on metric forecasts or specific data thresholds
Eliminate false-positives and leverage AI-powered alerts that account for daily, weekly, and seasonal fluctuations or cascading event failures