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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 - 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Datadog acquires Seekret
2022-08-04 · via Datadog | The Monitor blog

APIs are integral to the success of modern enterprises across a wide range of industries, such as finance, logistics, and manufacturing. They not only enable developers to build powerful business solutions by integrating with external applications, but also facilitate communication between internal services. This means that the ability to build reliable, highly-performant APIs—and govern their behavior and performance—is more important than ever. But modern environments often rely on numerous APIs with complex dependency relationships, which makes it extremely difficult to gain complete API-level visibility and ensure that customer-facing services are functioning as expected. That’s why we’re happy to announce that Seekret—a powerful observability platform—is joining Datadog.

What is Seekret?

Seekret uses powerful eBPF technology to autodiscover and visualize API assets, interconnections, and dependencies, enabling developers and product leaders to understand API behavior and usage patterns in complex, dynamic environments. Seekret also helps teams streamline the API development process and enforce standards by automatically validating API best practices, generating tests and documentation, tracking API behavior, and verifying compliance to company policy. Lastly, Seekret is able to analyze the impact of API changes within CI/CD pipelines, which makes it easy to identify breaking changes before they make it to production. Together, these API observability features minimize guesswork and allow teams to iterate quickly and confidently.

Datadog + Seekret

We are pleased to welcome the Seekret team to Datadog, and we look forward to working together to provide our customers with deeper API observability, governance, and automation across the entire API lifecycle. We’re also excited to leverage Seekret’s eBPF expertise to unlock new capabilities in Datadog’s existing APM and security products. For more information, check out our press release—and stay tuned for future updates!