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…

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

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Key learnings from the 2026 State of DevSecOps study

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Simplifying troubleshooting across the user journey with Datadog Synthetic Monitoring

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Protect your OCI resources with Datadog Cloud Security

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This Month in Datadog - February 2026

The Bits AI Security Analyst automates investigation of security alerts within cloud environments like AWS, Azure, and GCP by leveraging AI to enrich data, prioritize incidents, an…