How Datadog Unifies AWS Serverless Applications with Observability
March 10th, 12:00pm ET
With serverless, teams can focus on bringing ideas to the market faster—rather than managing infrastructure—all while paying for only what they use. However, running workloads using serverless architectures introduces new challenges for monitoring, which adds difficulty to understanding the health and performance of serverless applications.
To effectively monitor serverless applications in AWS, you need visibility into your entire serverless architecture so that you can understand how your functions and other AWS services are interoperating. Datadog’s serverless monitoring tools help DevOps teams gain deeper insight into the operations of their entire AWS serverless environment.
In this discussion, technical evangelists from Datadog and AWS share how Datadog improves unified visibility into serverless applications.
You Will Learn:
- How Datadog’s end-to-end serverless monitoring helps detect and resolve performance issues faster in your serverless applications
- The key differentiators between AWS’ suite of serverless tools, and how Datadog can provide deeper insights into the performance of those tools
- How Datadog makes it easier to use AWS serverless products
- How Datadog’s monitoring tools help visualize Lambda functions and other managed resources all in one place
Rick Sherman
Technical Evangelist, Datadog
Sam Hennessy
Senior Serverless Specialist Solutions Architect, AWS