Serverless Troubleshooting

Troubleshoot any serverless dependencies

Resolve serverless issues upstream and downstream.

Map service dependencies to identify whether the source of an application error is your Lambda function or dependent services like API Gateway, DynamoDB
Optimize Lambda function performance by filtering to functions that are generating errors, high latency or cold starts
Visualize the health of upstream and downstream dependencies like Amazon SNS, Amazon Kinesis with the Datadog service map

Zero instrumentation serverless observability

Quickly deploy and gain visibility into your serverless environment.

Quickly deploy using your current serverless deployment stack with Serverless Framework, Terraform and SAM
Gain zero instrumentation visibility into your serverless application code with AWS SAM and CDK integrations
Collect custom business metrics from serverless functions without adding any resource overhead to invocations with Datadog lambda layers

End-to-end monitoring for serverless applications

Simplify serverless application incident diagnosis.

Alert your on-call teams with machine learning-based anomaly, outlier and forecasting monitors to troubleshoot serverless applications proactively
Isolate an individual customer request and drill down to the associated logs and metrics for the full story in a single platform
Search, filter and identify root causes throughout your serverless environments using tags like service, customer or error code

Put Serverless Troubleshooting in Context

Conduct root cause analysis more quickly by seamlessly navigating between your logs, metrics, and distributed request traces from your hosts and Lambda functions.