Datadog | The Monitor blog

Understanding dbt: basics and best practices

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Visually identify and prioritize security risks using Cloudcraft

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This Month in Datadog - August 2025

This article details how to effectively monitor Karpenter, an open-source Kubernetes autoscaler, using Datadog. It explains how to leverage Datadog's custom metrics and integration…

How I helped my client scale their browser tests with Datadog

This Datadog article highlights how Synthetic Monitoring proactively identifies issues impacting user experience *before* customers do, going beyond traditional monitoring that rea…

Tax Day, downtime, and tech debt: Lessons for public sector IT resilience

Datadog has received FedRAMP Moderate Impact authorization, allowing US federal agencies to confidently use their monitoring and security platform. This authorization validates Dat…

Eliminate cloud waste across AWS, Azure, and Google Cloud with Cloud Cost Recommendations

The Datadog article highlights how to improve High-Performance Computing (HPC) job performance and cluster efficiency through comprehensive monitoring and observability. By collect…

We vibe coded a path tracer: Here's how we used static and dynamic analysis to fix it

The Datadog engineers' article emphasizes that while AI tools like Copilot and ChatGPT are powerful, they require thoughtful prompting and careful review to be truly effective. The…

What's new for scheduling and resource management in Kubernetes v1.34?

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Manage your dashboards and monitors at scale

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Identify slowdowns across your entire network with Datadog Network Path

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Instrument your Azure Container Apps workloads with the new Datadog Agent sidecar

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Monitor your LiteLLM AI proxy with Datadog

This Datadog article discusses how tracing requests through Large Language Models (LLMs) is crucial for understanding and improving their performance and quality. By annotating LLM…