Elastic Observability

Elastic observability allows the unification of logs, infrastructure metrics, uptime data, application traces, user experience data, and synthetics. Observability is an attribute of a system you build, much like usability, high availability, and stability. The goal of designing and building an observable system is to make sure that when it is running, operators responsible for it can detect undesirable behaviors and have actionable information to pin down the root cause in an effective manner. 
 

This training course is designed to provide participants with the essential concepts and fundamental skills for achieving observable systems with Elastic Observability. This course will explore topics such as how to unify your logs, metrics, and APM data in the Elasticsearch Service on Elastic Cloud with the ability to automatically correlate this data in an intuitive user interface.

• Gain a comprehensive understanding of the main pillars of observability (logs, metrics, and APM) and why it is important to collect these types of data.
• Understand how machine learning and uptime data make your systems more observable.
• Discover how to deploy Elastic Observability on Elastic Cloud with Fleet and Elastic Agent.
• Understand how detailed event logs show whether systems are running as smoothly as possible.
• Learn how granular resource usage information gives important insights into how an infrastructure is running.
• Explore how application traces give detailed information about performance and errors inside your applications and services.