Operations | Monitoring | ITSM | DevOps | Cloud

Datadog On Datadog

At Datadog, over 2,000 engineers deploy and ship new features daily. As a leading observability and security platform used by thousands of companies, ensuring quality and reliability is no small feat. Part of our commitment to excellence lies in our dogfooding culture where our engineering organization is one of the largest and most demanding users of the Datadog platform.

Incident Response: Keeping Cool When Everything's on Fire

The DevOps revolution broke down the traditional silos between development and operations, fundamentally reshaping how we build and maintain software. But with this evolution came an inevitable reality for many engineers: being on-call and responding to incidents. While critical for service reliability, the on-call experience often brings significant stress.

Monitor GitHub Copilot with Datadog

AI-powered coding tools are becoming more commonplace within developer workflows. GitHub Copilot is a popular AI coding assistant that can be integrated directly into IDEs or as a standalone chat interface. This tool helps you write code faster and with less effort by auto-completing code in real time, generating blocks of code from natural language prompts, and answering your questions to help you get over coding hurdles and roadblocks.

This Month in Datadog: Conversations with two Datadog leaders, a sneak peek of DASH 2025, and more

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. This month, we’re joined by Datadog CPO Yanbing Li and SVP of Engineering David Mitchell..

Java on containers: a guide to efficient deployment

Java remains one of the most widely used programming languages today, especially in enterprise backend systems—and for many good reasons. With each new release, Java’s robust runtime offers additional improvements in performance, security, scalability, and developer productivity. The portability of its code has proven increasingly relevant and useful as the industry embraces ARM64, making Java one of the go-to languages for modern workloads.

Monitoring single-page app interactivity with Core Web Vitals and Datadog

Web applications generate a wealth of performance data, but it’s challenging to know exactly which metrics are the most useful for monitoring your user experience. Focusing on irrelevant metrics wastes time and resources—but if you pare down the data you’re observing too much, you may miss critical insights.

Improve gaming app performance with Unity support in Datadog RUM

As mobile gaming evolves, players have higher expectations for seamless experiences, real-time interactions, and cross-platform accessibility. Whether you’re developing games for iOS, Android, or another mobile operating system, maintaining and optimizing the performance of your game is critical for player retention. For instance, if a mobile game becomes laggy or begins to drop frames during gameplay, players will grow frustrated and abandon the game altogether.

Integration roundup: Monitoring your modern data platforms

Modern applications increasingly rely on specialized databases and platforms to power real-time analytics and support advanced AI/ML capabilities. These tools help teams accelerate development by consolidating workflows and processes, enabling faster and more efficient data operations. That’s why Datadog has launched three new data platform integrations with Supabase, DuckDB, and Milvus.