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Datadog | The Monitor blog

Introducing our open source AI-native SAST Instrument and monitor Boomi integration flows with OpenTelemetry and Datadog Not all index scans are equal: How we cut query latency by over 99% Platform engineering metrics: What to measure and what to ignore Integrate Recorded Future threat intelligence with Datadog Cloud SIEM CI/CD security: threat modeling using a MITRE-style threat matrix CI/CD security: How to secure your GitHub ecosystem Ingress NGINX is EOL: A practical guide for migrating to Kubernetes Gateway API Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA Introducing the Datadog Code Security MCP Capture and analyze custom heatmaps in Session Replay Understand session replays faster with AI summaries and smart chapters Monitor ClickHouse query performance with Datadog Database Monitoring How we designed empathetic alert sounds for on-call engineers Search and act across Datadog to resolve issues faster with Bits Assistant Measure the business impact of every product change with Datadog Experiments Analyzing round trip query latency Configuring JavaScript caches for better performance Introducing Bits AI Dev Agent for Code Security Datadog achieves ISO 42001 certification for responsible AI Monitor Nutanix clusters, hosts, and VMs with Datadog Monitor Juniper Mist in Datadog A new Host Map for modern infrastructure Annotate traces to improve LLM quality with Datadog LLM Observability What’s new in Cloud SIEM: AI-powered investigations, enhanced threat intelligence, and scalable security operations Explore Kubernetes with native OpenTelemetry data Monitor Oracle Fusion Cloud Applications with Datadog Announcing the Datadog Terraform provider v4.0.0 Scaling Kubernetes workloads on custom metrics How to design cloud environments for AI-powered threat analysis Monitor Aruba Central in Datadog How we centralize and remediate risks with Datadog Case Management Accelerate incident response with Datadog and ServiceNow Monitor your application and network load balancer logs Understanding Karpenter architecture for Kubernetes autoscaling Tools for collecting metrics and logs from Karpenter Monitor Karpenter with Datadog What your product data is actually saying Key metrics for monitoring Karpenter Securing Datadog’s platform in the AI age: The role of observability data Four ways engineering teams use the Datadog MCP Server to power AI agents Approaching your observability migration with the right mindset Meet the new Bits AI SRE: Deeper reasoning, twice as fast Key learnings from the 2026 State of DevSecOps study Use plain English to query your multi-cloud infrastructure in Resource Catalog Simplifying troubleshooting across the user journey with Datadog Synthetic Monitoring Protect your OCI resources with Datadog Cloud Security This Month in Datadog - February 2026 Amazon EC2 security: How misconfigured and public AMIs expand your cloud attack surface Enable end-to-end visibility into your Java apps with a single command Measure and improve mobile app startup performance with Datadog RUM Evaluating our AI Guard application to improve quality and control cost Identify untested code across every level of your codebase Make use of guardrail metrics and stop babysitting your releases Monitor Versa Networks SD-WAN performance in Datadog Improve performance and reliability with APM Recommendations Remediate transitive vulnerabilities faster with Datadog Software Composition Analysis Generate audit-ready vulnerability and compliance reports with Datadog Sheets Monitor Fortinet FortiManager performance in Datadog Improve test coverage across codebases with Datadog Code Coverage Move fast, don’t break things: Consistent testing standards at scale Enrich logs with ServiceNow CMDB context before routing to any SIEM or logging tool Monitor Lustre with Datadog Make faster, better product decisions with Datadog Product Analytics Surface and remediate runtime posture issues with Workload Protection Findings Protect agentic AI applications with Datadog AI Guard How to optimize JavaScript code with CSS Trace Google Pub/Sub workloads in Cloud Run with Datadog Detect human names in logs with ML in Sensitive Data Scanner How we cut our NLQ agent debugging time from hours to minutes with LLM Observability Debug PostgreSQL query latency faster with EXPLAIN ANALYZE in Datadog Database Monitoring Datadog acquires Propolis Unify and correlate frontend and backend data with retention filters Scale compliance across global frameworks with Datadog Cloud Security Monitor Arista VeloCloud SD-WAN performance with Datadog Building reliable dashboard agents with Datadog LLM Observability Simplify log collection and aggregation for MSSPs with Datadog Observability Pipelines Mitigation for Node.js denial-of-service vulnerability affecting Datadog APM Automate flaky test fixes with the Bits AI Dev Agent and Test Optimization How we built an AI SRE agent that investigates like a team of engineers Datadog integrations 2025 recap: Observability for AI, security, and hybrid cloud Design effective executive dashboards with Datadog Implement dbt data quality checks with dbt-expectations Bring faster visibility into AWS Lambda functions with remote instrumentation Troubleshoot faster with the GitLab Source Code integration in Datadog How Cambia Health Solutions saved $30,000 monthly with Cloud Cost Management and the Datadog Resource Catalog Normalize any logs for Cloud SIEM with Datadog's OCSF processor Optimizing Datadog at scale: Cost-efficient observability at Zendesk Detect, diagnose, and resolve network issues easily with CNM Network Health Connect engineering errors to user impact in early-stage products Cilium configuration for Kubernetes operations at scale Designing feedback loops for progressive delivery Ship features faster and safer with Datadog Feature Flags Choosing the right OpenTelemetry Collector distribution Route your monitor alerts with Datadog monitor notification rules Automate Cloud SIEM investigations with Bits AI Security Analyst Cloud threat detection: How to identify risky activity across control and data planes Collecting Kafka performance metrics Monitoring Kafka with Datadog Monitoring Kafka performance metrics
This Month in Datadog - April 2025
2025-05-08 · via Datadog | The Monitor blog

On the April episode of This Month in Datadog, Jeremy covers tracking GitHub Copilot usage, avoiding mistyped terminal commands with Datadog CoTerm, and pinpointing the root cause of browser performance issues. Later in the episode, Lutao Xie spotlights unifying OpenTelemetry and Datadog with our distribution of the OpenTelemetry Collector. Also featured are an exciting, in-depth preview of DASH 2025 and new learning paths on the Datadog Learning Center.

This Month in Datadog is a monthly update of the company’s latest features, product announcements, and more. Subscribe to our YouTube channel to get notifications about future episodes.

New features

Stay vendor neutral with the Datadog Distribution of the OpenTelemetry Collector

Previously, teams faced a tough trade-off: adopt OpenTelemetry’s flexible data pipeline or benefit from Datadog’s advanced monitoring and security features. Today, we’re excited to bring you the Datadog Distribution of the OpenTelemetry Collector, which unifies the OpenTelemetry and Datadog experience.

Our distribution offers an enterprise-ready, OTel-native Collector distribution that enables you to adopt OTel’s flexibility and take full advantage of our advanced observability features. With this new feature, you can collect, process, and export OTLP telemetry to Datadog or other destinations using OTel-native configurations and extend the Collector distribution with custom OTel-compatible components. Check out this blog post and documentation to learn more and to get started today.

Track GitHub Copilot usage across your organization

GitHub Copilot is a popular AI coding assistant that helps engineers write code faster and with less effort through capabilities like generating code from prompts. With Datadog’s new integration, you get a preconfigured dashboard where you can see your organization’s assigned licenses and active seats as well as total suggestions, their acceptance rate, and the most-used IDE. Get a closer look at this dashboard and what insights it offers with this blog post.

Avoid mistyped terminal commands and require approvals

Even the most careful engineers occasionally mistype commands. Datadog CoTerm helps engineers avoid these missteps by providing real-time checks of sensitive commands. Not only will CoTerm warn engineers before they execute risky commands, you can also set up CoTerm to require approvals, which will create requests in Datadog Case Management. Learn more about CoTerm, which is available in Preview, by reading this blog post.

Pinpoint the root cause of browser performance issues

Core Web Vitals are critical benchmarks for assessing a site’s health, but it’s not always easy to turn these metrics into actionable insights. Found in Datadog Real User Monitoring, the new Optimization page helps you quickly spot performance issues by providing Loading Time metrics and Core Web Vitals for each of your application pages. Check out this blog post to get up to speed on the Optimization page’s recommendations for troubleshooting, waterfall visual of events, and more.

Additional updates

More new features and updates released this month:

  • Create synthetic browser tests faster with browser test recommendations
  • Securely manage your self-hosted infrastructure with private actions for workflows
  • Enrich your system’s end-to-end visibility by deriving tags from a process’s command line with Process Tag Rules
  • Alert on cloud network metrics with monitors for Cloud Network Monitoring

See you next month

Check out our release notes for a full list of new features and updates. You can see these features and updates in action by logging on to the Datadog platform today or signing up for a 14-day free trial. We will see you next month.