Operations | Monitoring | ITSM | DevOps | Cloud

Why Context Matters: Mastering Serverless App Monitoring

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.

Observability for your NodeJS AWS Serverless Applications

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.

How to observe AWS Lambda functions using the OpenTelemetry Collector and Grafana Cloud

Getting telemetry data out of modern applications is very straightforward—or at least it should be. You set up a collector that either receives data from your application or asks it to provide an up-to-date state of various counters. This happens every minute or so, and if it’s a second late or early, no one really bats an eye. But what if the application isn’t around for long? What if every second waiting for the data to be collected is billed?