Datadog | The Monitor blog

Create actionable postmortems automatically with Datadog

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Evaluate LLMs and LLM applications for accuracy with NVIDIA NeMo Evaluator and Datadog LLM Observability

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Key learnings from the 2025 State of DevSecOps study

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Datadog acquires Metaplane

Datadog has acquired Propolis, a company specializing in cloud cost management and FinOps automation. This acquisition will integrate Propolis' capabilities directly into the Datad…

Anomaly detection, predictive correlations: Using AI-assisted metrics monitoring

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How to create efficient UX smoke tests with synthetic monitoring

This Datadog article highlights how Synthetic Monitoring proactively identifies issues impacting user experience *before* real users encounter them. By simulating user behavior acr…

How to optimize high-volume log data without compromising visibility

Datadog's Archive Search allows users to quickly and cost-effectively explore historical log data beyond the standard 15-day retention period. By leveraging long-term storage, it p…

Datadog named a Leader in the Forrester Wave™: AIOps Platforms, Q2 2025

Datadog has been recognized as a Leader in the Forrester Wave™ for AIOps Platforms, highlighting its AI-driven platform for observing, securing, and acting on systems data. The pla…

Strategies for accelerating a successful log migration

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Cloud threat detection: How to identify risky activity across control and data planes

The Bits AI Security Analyst automates investigations within cloud SIEMs like Azure Sentinel and Google Chronicle, drastically reducing alert fatigue and analyst workload. It uses …

Making profiling visualizations accessible to engineers at all levels

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How we use our Digital Experience Monitoring products to reduce friction in frontend testing and debugging

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 proactiv…