Detecting incidents with alerting and machine learning
In the previous recipes, we deployed the official OpenTelemetry Demo on GKE and collected different observability data from the application such as traces, metrics, logs, profiling, and Synthetics. In this recipe, we will discover how Elastic Observability can assist in detecting incidents in real time using its correlation capabilities, along with alerting and machine learning features within the Elastic Observability app.
Getting ready
Make sure that you have completed the previous four recipes:
- Instrumenting and monitoring with OpenTelemetry
- Monitoring Kubernetes environments with Elastic Agent
- Managing synthetics monitoring
- Gaining comprehensive system visibility with Elastic Universal Profiling
How to do it…
The goal of this recipe is to first set up alerting and machine learning jobs within the Elastic Observability app and simulate application incidents on the deployed official...
