Datadog | The Monitor blog

Explore Kubernetes resources with Datadog Live Containers

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Incorporate Datadog Synthetic tests into your CI/CD pipeline

This article details how to integrate Datadog Synthetic tests directly into your CircleCI pipelines using the Datadog CircleCI orb. This allows developers to automatically run perf…

Make sense of application issues with Datadog Error Tracking

This article emphasizes the importance of directly linking technical errors in early-stage products to their *impact on users* – not just technical details. By focusing on how erro…

Dash 2020: Guide to Datadog’s newest announcements

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Expand your monitoring reach with the Datadog Marketplace

This article announces a partnership between Reflectiz and Datadog, bringing Reflectiz's third-party risk management solution to the Datadog Marketplace. By integrating with Datado…

Improve mobile user experience with Datadog Mobile Real User Monitoring

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Enable preconfigured alerts with Recommended Monitors

Datadog's Terraform provider v4.0.0 introduces significant improvements including enhanced resource import capabilities and support for new Datadog products like Vulnerability Mana…

Zero instrumentation serverless observability with AWS SAM and CDK integrations

AWS recently enhanced its X-Ray service to provide deeper visibility into serverless applications by automatically capturing and analyzing trace data from Lambda functions, API Gat…

Monitor your Windows containers with Datadog

This article details how to monitor Windows containers running on Google Kubernetes Engine (GKE) using Datadog's monitoring and logging capabilities. It outlines the necessary Data…

Instrument your Python applications with Datadog and OpenTelemetry

This article highlights how Datadog and OpenTelemetry work together to provide comprehensive application tracing. By using OpenTelemetry for instrumentation and Datadog for analysi…

Introducing the Datadog mobile app

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Stream logs to Datadog with Amazon Data Firehose

The Datadog Observability Pipelines feature allows users to significantly reduce AWS log costs by filtering, transforming, and sampling log data *before* it reaches Datadog. This m…