Operations | Monitoring | ITSM | DevOps | Cloud

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.

This video explains the use case for API Management and Integration using the Business Activity Monitoring (BAM) feature of Turbo360. The scenario involves tracking help desk ticket submissions via an API, ensuring that support teams and business users can easily check the status of tickets. The challenge is that log data is complex and not easily accessible to non-technical users. Turbo360 simplifies this by providing a user-friendly interface where support teams can search, filter, and analyze logs without deep technical expertise.

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.

Happy coding from the team at Raygun.

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.