Datadog | The Monitor blog

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 …

Monitor ClickHouse query performance with Datadog Database Monitoring

Datadog’s new Database Monitoring for ClickHouse provides a unified view of query performance for both cloud and self-hosted deployments, addressing the difficulty of understanding…

How we designed empathetic alert sounds for on-call engineers

Datadog redesigned its on-call notification sounds to prioritize engineer well-being, recognizing that traditional alerts contribute to burnout and alert fatigue. They partnered wi…

Measure the business impact of every product change with Datadog Experiments

Datadog Experiments is a new platform designed to streamline and accelerate A/B testing for product and engineering teams. It integrates behavioral analytics, performance telemetry…

Analyzing round trip query latency

This article explains how to diagnose query timeouts by separating “round trip time” (total query duration) from “database time” (time spent *within* the database). Datadog’s tools…

Configuring JavaScript caches for better performance

This article discusses the importance of caching in modern JavaScript applications for improved performance and user experience. It details various JavaScript caching methods – inc…