Datadog | The Monitor blog

Use formulas and functions in RUM monitors for high-value alerts

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Explore a centralized view into service telemetry, Error Tracking, SLOs, and more

This article emphasizes the importance of linking technical errors in early-stage products directly to their impact on users, rather than just tracking error rates. By quantifying …

Announcing support for Amazon EKS Blueprints

This article details how to monitor Amazon EKS clusters running on AWS Fargate using Datadog. It outlines setting up Datadog's agentless integration to automatically collect metric…

Troubleshoot directly from any replay with Browser Dev Tools

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Successfully migrate to Azure with the Microsoft Cloud Adoption Framework and Datadog

This Microsoft article announces a new guided onboarding experience within Azure to simplify and speed up integration setups. It helps users discover and implement relevant integra…

Monitor your Redis Enterprise clusters with Datadog

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Accelerate incident investigations with Log Anomaly Detection

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Troubleshoot faster with improved Datadog Events

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Monitor your gRPC APIs with Datadog Synthetic Monitoring

This Datadog article explains how network performance directly impacts user experience and how to measure that impact. It advocates using Datadog's Synthetic Monitoring to simulate…

Troubleshoot end-to-end tests with CI Visibility and RUM

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Announcing support for monitoring AWS Lambda Function URLs and Lambda Response Streaming with Datadog

This article details how to use remote instrumentation to gain deeper insights into AWS Lambda function performance *without* modifying application code. By leveraging tools like O…

The Spring4Shell vulnerability: Overview, detection, and remediation

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