Datadog | The Monitor blog

Connect engineering errors to user impact in early-stage products

The Datadog Error Tracking feature helps developers pinpoint and fix application errors faster by aggregating and prioritizing them from across the entire stack. It goes beyond sim…

From discovery to defense: Securing APIs with Datadog App and API Protection

Please provide the article! I need the text of the article "Evaluating our AI Guard application to improve quality and control cost" to be able to summarize it for you. Just past…

Centrally set up and scale monitoring of your infrastructure and apps with Datadog Fleet Automation

This article highlights how Datadog Fleet Automation simplifies the management of OpenTelemetry collectors at scale. It allows users to define desired states for their collectors (…

Python memory profiling: Common pitfalls and how to avoid them

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Cilium configuration for Kubernetes operations at scale

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Troubleshooting Cilium network policies: four misconfigurations that block traffic

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From performance to impact: Bridging frontend teams through shared context

This article stresses the importance of linking technical errors in early-stage products directly to their impact on users, rather than just focusing on bug fixes. By quantifying *…

Monitor your Kubernetes operators to keep applications running smoothly

Please provide me with the article! I need the text of the article "Explore Kubernetes with native OpenTelemetry data" to be able to summarize it for you. Just paste the article …

2025 cloud security roundup: How attackers abused identities, supply chains, and AI

The Datadog team discovered a malicious actor attempting to contribute harmful code to their open-source repositories via a seemingly legitimate pull request. They detail how the a…

This Month in Datadog - December 2025

This Datadog article highlights how to optimize Amazon S3 storage costs by gaining visibility into bucket usage and identifying inefficient storage classes. Datadog Storage Managem…

Highlights from AWS re:Invent 2025: Making sense of applied AI, trust, and going faster

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Keep service ownership up to date with Datadog Teams' GitHub integration

Here's a concise summary of the article "Designing feedback loops for progressive delivery": The article argues that successful progressive delivery (releasing software in small, …