To handle the massive Git traffic and high CPU load caused by large monorepos and AI coding agents, Datadog developed "gitretriever," a decentralized system of independent Git mirr…
CISA’s BOD 26-04 mandates that federal agencies prioritize vulnerability remediation based on specific risk factors, such as asset exposure and exploitability, to counter increasin…
Datadog’s Node.js and Python tracers for the AWS Lambda Durable Execution SDK enable seamless, cross-invocation tracing for long-running, multi-step workflows. By stitching togethe…
Datadog Work Management provides a centralized platform to track operational tasks from humans, automations, and AI agents, addressing the fragmentation caused by using disparate t…
Simply summing the observed lifts of winning experiments leads to an overestimation of their true impact, a phenomenon known as the "winner’s curse." To achieve more accurate resul…
This article outlines the necessity of end-to-end monitoring to ensure data quality and integrity within the complex, multi-layered structures of modern data pipelines. It provides…
Datadog has introduced secretless authentication for its Azure integration, replacing manual client secret management with an identity-based model using federated credentials throu…
Datadog Product Analytics now supports account segments, allowing teams to combine business context—such as ARR and renewal dates—with user behavioral data. This feature shifts the…
To improve Java application startup performance, Datadog's APM team reduced class-matching overhead by 30% by optimizing how classes are selected for instrumentation. They achieved…
Datadog’s new serverless agentic onboarding simplifies the instrumentation of applications across various cloud platforms by automating complex, manual configuration tasks. Using a…
Following updates to four long-standing Kubernetes CVEs, vulnerability scanners may now report these issues in clusters that were previously undetected. Because fixing the underlyi…
Datadog Session Replay streamlines the process of identifying and resolving user friction by centralizing session discovery, AI-powered analysis, and cross-team collaboration into …