Datadog | The Monitor blog

Monitor OpenTelemetry-native metrics with Datadog

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Best practices for end-to-end custom metrics governance

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Introducing RUM without Limits™: Capture everything, keep what matters

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Highlights from Google Cloud Next 2025

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Build Vega-Lite visualizations natively in Datadog with the Wildcard widget

Datadog's Terraform provider v4.0.0 introduces significant improvements including support for managing monitors as code, enhanced resource import capabilities, and streamlined auth…

Detect hallucinations in your RAG LLM applications with Datadog LLM Observability

This article explores using Large Language Models (LLMs) themselves to detect "hallucinations" – factually incorrect statements – made by other LLMs. It details how effective hallu…

Discover powerful insights with nested metric queries

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Take enhanced control of your log data with Datadog Log Workspaces

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Understand and manage your Datadog spend with Datadog cost data in Cloud Cost Management

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 auto-discov…

Simplifying the shared responsibility model: How to meet your cloud security obligations

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How we use RUM to make design decisions that enhance user experience

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Monitoring AI Proxies to optimize performance and costs

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