Datadog Governance Console centralizes usage insights and automates policy enforcement to reduce risk, control costs, and improve observability at scale.
Use Datadog IaC Security to catch GitHub Actions misconfigurations in the diff, before they reach production.
Learn how Datadog Observability Pipelines helps teams transform and normalize logs and metrics from OpenTelemetry.
Control which services are traced by Datadog APM via Single Step Instrumentation rules to reduce unnecessary trace data.
Learn how to run offline evaluations to optimize agents in pre-production.
Datadog App and API Protection delivers in-process security monitoring for Python AWS Lambda functions to detect application-level attacks.
Explore how Datadog's open source SAST solution uses AI to surface code vulnerabilities more accurately and efficiently.
Learn how to instrument Boomi integration flows with OpenTelemetry and Datadog to collect, correlate, and analyze processes, JVM, and database telemetry.
Just because your query uses an index scan doesn't mean it's fast or performant. Learn how misaligned predicates and column order hurt index scan performance and how to detect this pattern using DBM.
Learn which platform engineering metrics to collect and how to interpret them to quantify the platform’s impact on software delivery performance.
Use the Recorded Future integration and Content Pack to enrich logs, ingest alerts, and prioritize threats in Datadog Cloud SIEM with real-time intelligence.
CI/CD pipelines are often an overlooked component of your organization's security trust boundary. Learn how to to anticipate attack vectors targeting your CI/CD and secure it against different risks.
Migrate from Ingress NGINX to Gateway API with a step-by-step approach, including validation, traffic shifting, and monitoring to avoid regressions.
Learn how to apply a detection-based threat model to secure your GitHub ecosystem by identifying key inputs, identities, and their associated risks.
Learn how NTT DATA uses Amazon Bedrock AgentCore to run agentic AI workflows and Datadog LLM Observability to trace, evaluate, and improve them.
Scan AI-generated code for vulnerabilities, exposed secrets, and risky dependencies in real time from your development workflow.
Learn how Session Replay's custom heatmap backgrounds give teams direct control over which UI states they capture and analyze.
See how AI summaries and smart chapters help teams understand what happened in a user session at a glance, so they can move faster from replay to action.
See aggregated query metrics, completed samples, and active queries across all your ClickHouse deployments.
Learn how we took a research-first approach in redesigning the sounds of our alerts to better serve the diverse needs of on-call engineers.