Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

On a special episode of This Month in Datadog, Datadog CPO Yanbing Li joins Jeremy to discuss the company’s approach to building products, use cases she’s excited about in 2025, AI and LLMs, and so much 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..

Hi there, and welcome to the second video in this series on observing AWS serverless applications with Datadog. In this video, you’ll learn how important it is to add custom business context to the telemetry you send to Datadog and how you can use that inside APM to quickly diagnose and debug issues. You’ll walk away with an understanding of the importance of distributed tracing, as well as how you can add specific business context to the telemetry you send.

Platforms like @SeatGeek face challenges in managing and resolving incidents effectively. Discover how SeatGeek mastered incident response by integrating Datadog Incident Management.

Learn how Forbes, a global media powerhouse, successfully migrated to the cloud with Datadog. Discover how they enabled their teams across their entire tech stack to access IT data and make critical improvements. The team maintained a 99.5 percent uptime through proactive alerting and improved root cause analysis by 10 percent.

Hi there, and welcome to the first video in this series on observing AWS serverless applications with Datadog. In this video, you’ll learn how easy it is to get started observing your serverless NodeJS applications using Datadog and the AWS CDK. You’ll also look at how you can use the Datadog console to diagnose latency issues and errors inside your application. You’ll walk away with an understanding of how to instrument your Lambda functions with the AWS CDK, as well as practical steps you can take to debug your applications.

By leveraging Datadog’s powerful monitoring tools, custom dashboards, and alerting systems, Telkomsel gained deep visibility into its infrastructure, significantly reducing incidents and improving operational efficiency.