Datadog | The Monitor blog

Every team should be A/B testing

The article argues that randomized controlled trials, or A/B testing, remain a vital "gold standard" for organizations to move beyond correlation and understand true causation. By …

Spotting CI/CD misconfigurations before the bots do: Securing GitHub Actions with Datadog IaC Security

The emergence of AI agents like "hackerbot-claw" demonstrates a growing threat to CI/CD pipelines through the automated exploitation of GitHub Actions misconfigurations. Datadog Ia…

Route OTel data from AI apps to ClickHouse and Datadog using Observability Pipelines

Datadog’s Observability Pipelines helps organizations manage the surging, unpredictable telemetry volumes generated by AI-driven workflows by enabling flexible data routing, transf…

Manage service tracing across hosts with Single Step Instrumentation rules

Datadog’s Single Step Instrumentation (SSI) offers automatic service discovery for easy APM setup, but it can capture unnecessary workloads like batch jobs that increase noise and …

Detect runtime threats in Python Lambda functions with Datadog AAP

Datadog’s App and API Protection (AAP) now provides in-process security monitoring for Python AWS Lambda functions by integrating directly into the application runtime via tracing …

Offline evaluation for AI agents: Best practices

The article argues that offline evaluation is essential for LLM-powered applications to prevent regressions and avoid the risks of relying on unpredictable user feedback in product…

Introducing our open source AI-native SAST

Datadog has released an open-source, AI-native SAST solution that leverages large language models to provide more accurate, context-aware vulnerability detection than traditional, …

Instrument and monitor Boomi integration flows with OpenTelemetry and Datadog

This article details how to improve observability of Boomi, an iPaaS, using OpenTelemetry (OTel). While Boomi recently added native OTel support for exporting traces, logs, and met…

Platform engineering metrics: What to measure and what to ignore

This article emphasizes the importance of quantifying the value of platform engineering initiatives through a tiered metric system. It advocates organizing metrics into outcomes (h…

Integrate Recorded Future threat intelligence with Datadog Cloud SIEM

The article details a new integration between Datadog and Recorded Future, a threat intelligence platform. This integration automatically enriches Datadog security logs with real-t…

Not all index scans are equal: How we cut query latency by over 99%

Datadog engineers optimized a slow PostgreSQL query by replacing an inefficient composite index scan with a targeted index that better matches the query's predicates. This change, …

CI/CD security: threat modeling using a MITRE-style threat matrix

This article highlights the critical need to secure CI/CD pipelines, which are increasingly vulnerable to attacks allowing malicious code injection, access to secrets, and permissi…