CloudCheckr + Datadog: Better rightsizing of cloud resources
Datadog | The Monitor blog

CloudCheckr + Datadog: Better rightsizing of cloud resources


Summary

This article details how to use remote instrumentation to gain deeper insights into AWS Lambda function performance without modifying application code. By leveraging tools like open telemetry and tracing frameworks, developers can collect metrics and traces directly from running Lambdas, enabling faster debugging and performance optimization. This approach simplifies observability and avoids the complexities of manual instrumentation within each function.
Read the Original Article

This article originally appeared on Datadog | The Monitor blog.

Read Full Article on Original Site

Popular from Datadog | The Monitor blog

1
Datadog LLM Observability natively supports OpenTelemetry GenAI Semantic Conventions
2
Introducing Bits AI Dev Agent for Code Security
Introducing Bits AI Dev Agent for Code Security

Datadog | The Monitor blog Mar 26, 2026 79 views

3
Monitoring MongoDB performance metrics (MMAP)
Monitoring MongoDB performance metrics (MMAP)

Datadog | The Monitor blog May 25, 2016 71 views

4
Understand session replays faster with AI summaries and smart chapters
Understand session replays faster with AI summaries and smart chapters

Datadog | The Monitor blog Apr 2, 2026 70 views