Datadog Cloud Security supports an expanded list of global and industry-specific compliance frameworks, making it easier to measure posture and act on misconfigurations.
Learn how Datadog uses LLM Observability internally to build and test reliable widget and dashboard agents, so that teams can easily create fast, informative visualizations based on user prompts.
Learn how MSSPs can use Observability Pipelines to ingest, enrich, and route security logs with complex requirements at petabyte scale.
Review information about the Node.js CVE-2025-59466 vulnerability affecting Datadog APM and how to remediate the issue.
Learn how Bits AI SRE finds root causes by reasoning over telemetry like a team of SREs.
Learn how the Bits AI Dev Agent integrates with Datadog Test Optimization to detect flaky tests, generate verified code fixes, and streamline CI workflows.
A recap of Datadog’s most impactful 2025 integrations across AI observability and cost control, security and threat intelligence, hybrid cloud operations, and data and analytics tooling.
Learn how to design Datadog executive dashboards that tell a clear business story by connecting user, revenue, and reliability metrics.
Learn how to use dbt-expectations, an open source package maintained by Datadog that extends dbt's out-of-the-box data quality tests advanced Great Expectations-style assertions.
See how to gain faster visibility into AWS Lambda functions with Datadog remote instrumentation, enabling quick, code-free monitoring and consistent observability.
GitLab Source Code integration connects GitLab repos to Datadog, surfaces security and CI insights early, and posts merge request comments with links to code.
Learn how Cambia used Datadog Cloud Cost Management and Resource Catalog to standardize RDS and improve Reserved Instance utilization at scale.
Easily ingest log data from any source in Cloud SIEM’s native OCSF format.
Industry professionals share how they optimized observability costs with Datadog while preserving engineering visibility.
Learn how Datadog helps organizations manage the cost, performance, and infrastructure efficiency of AI workloads through Cloud Cost Management, LLM Observability, and GPU Monitoring.
Learn about a new CNM feature that surfaces key network problems and guides you to the right fixes.
Learn about how Datadog uses automated systems to intelligently protect customer credentials across platforms.
Microservices didn’t end the SQL versus NoSQL debate. They made it irrelevant. Learn why half of Datadog customers now run SQL and NoSQL databases side by side.
An industry professional shares real-world practices for optimizing custom metrics.
Connect errors to user impact in early-stage products by linking telemetry data with customer feedback. Prioritize defects by user harm, conversion loss, and revenue risk.