Datadog | The Monitor blog

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…

Ingress NGINX is EOL: A practical guide for migrating to Kubernetes Gateway API

The article details the urgent need to migrate away from Ingress NGINX, a key Kubernetes component reaching end-of-life in March 2026, due to security vulnerabilities with no futur…

CI/CD security: How to secure your GitHub ecosystem

This article details how to apply threat modeling to GitHub to improve CI/CD security. It identifies key inputs (authentication, source code, configurations, secrets) and associate…

How we built a real-world evaluation platform for autonomous SRE agents at scale

To combat subtle performance regressions in Datadog's Bits AI SRE agent, the team developed a custom, replayable evaluation platform that simulates diverse production incidents usi…

Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA

NTT DATA tackled the challenge of deploying dependable agentic AI systems in production by combining Amazon Bedrock AgentCore and Datadog LLM Observability. They found that while b…

Introducing the Datadog Code Security MCP

AI-assisted development accelerates coding but introduces new security risks like vulnerabilities and exposed secrets. Datadog’s Code Security MCP addresses this by scanning code *…

Capture and analyze custom heatmaps in Session Replay

Datadog’s Session Replay now offers custom heatmap backgrounds, allowing users to directly capture specific UI states from their live site instead of relying on potentially inaccur…

Search and act across Datadog to resolve issues faster with Bits Assistant

Datadog’s Bits Assistant is a new conversational interface that allows users to query and interact with their Datadog data using natural language, eliminating the need to switch be…

Understand session replays faster with AI summaries and smart chapters

Datadog's Session Replay now includes AI-powered features – AI summaries and smart chapters – to dramatically improve how teams analyze user sessions. These features automatically …