Datadog | The Monitor blog

Create rich, up-to-date visualizations of your AWS infrastructure with Cloudcraft in Datadog

This article details how Datadog users can now leverage Cloudcraft to visually map their AWS, Azure, and GCP infrastructure *directly within* Datadog. This integration allows users…

Announcing Go tracer v2.0.0

The Orchestrion article introduces a new Go tool that performs compile-time auto-instrumentation, meaning it adds observability code (like tracing and metrics) directly into your G…

Centrally process and govern your logs in Datadog before sending them to Microsoft Sentinel or Google SecOps

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Best practices for end-to-end custom metrics governance

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Monitor OpenTelemetry-native metrics with Datadog

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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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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…

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…

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…