Datadog | The Monitor blog

Tools for collecting metrics and logs from Karpenter

The article explains that Karpenter is an open-source autoscaler for Kubernetes that directly provisions and manages compute capacity (like EC2 instances) based on pending Pods, by…

Key metrics for monitoring Karpenter

Here's a concise summary of the "Understanding Karpenter architecture for Kubernetes autoscaling" article: Karpenter is an open-source autoscaler for Kubernetes that directly prov…

Understanding Karpenter architecture for Kubernetes autoscaling

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Securing Datadog's platform in the AI age: The role of observability data

The article discusses Bits AI Security Analyst, a new feature within the Bits Automated Investigation platform that uses AI to automatically investigate and remediate alerts from c…

Closing the verification loop: Observability-driven harnesses for building with agents

The article introduces "harness-first engineering," an approach designed to address the challenge of verifying AI-generated code by replacing manual reviews with automated, multi-l…

Closing the verification loop, Part 2: Fully autonomous optimization

The article describes an autonomous system for real-time code optimization that uses LLM-driven evolutionary search to generate and verify specialized WebAssembly modules for time-…

When an AI agent came knocking: Catching malicious contributions in Datadog’s open source repos

Datadog recently identified and successfully defended its open-source repositories against "hackerbot-claw," an AI agent attempting to exploit GitHub Actions vulnerabilities throug…

Approaching your observability migration with the right mindset

This Datadog article details how to build effective executive dashboards focused on business-critical KPIs, not just technical metrics. It emphasizes contextualizing data with anno…

Four ways engineering teams use the Datadog MCP Server to power AI agents

The Datadog Monitoring Cloud Provider (MCP) Server allows you to connect AI agents, like those built with LangChain, to Datadog's monitoring and security data. This integration ena…

Meet the new Bits AI SRE: Deeper reasoning, twice as fast

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Designing MCP tools for agents: Lessons from building Datadog's MCP server

Datadog has redesigned its Model Context Protocol (MCP) server to create an ergonomic observability interface specifically optimized for the unique constraints of AI agents. To pre…

Use plain English to query your multi-cloud infrastructure in Resource Catalog

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