Making sense of metrics, events and logs is more challenging than ever. We’re inundated with frameworks, infrastructure-as-code (IaC) choices and language options. These complex systems make it difficult to gather all of the telemetry data that’s needed for monitoring and observability and challenging to analyze that data to determine the correct actions that need to be taken.

With so many services in AWS, third-party providers for CDNs and Lambda running in the background, how do you get all the right signals in one place?

Join AWS and Datadog in a discussion about how to achieve this and follow along as we walk through how to build an effective observability solution for your app that supports your teams with end-to-end monitoring, alerting and workflow automation.

In this Techstrong Learning Experience, you’ll learn about:

• The best methods for getting infrastructure metrics, logs and traces from your deployments into a unified space for continuous analysis.
• How to get started with Datadog’s AWS integrations to set up monitoring for the key components of your infrastructure.
• How to analyze the time-series data you’re reporting to Datadog and set up alerts for your teams.
• How to introduce workflow automations that perform time-sensitive tasks on your integrated services, like: Deployment rollbacks, incident management and security vulnerability mitigation (and trigger them from Slack).