Monitoring Kubernetes and Docker Container Logs
Applications are run within containers to make rolling updates easy, boost resiliency, and more. But with container orchestration, logs becomes a moving target as containers are created and destroyed. Container deployments are dynamic, and the Elastic Stack can handle that. In this course, you’ll learn how to use Filebeat and Elasticsearch to monitor logs from Docker containers and Kubernetes.
Note: This course is a module of the Logging specialization.
You’ll also learn how to configure Filebeat to autodiscover and auto-deploy with your environment. After completing this course, you’ll be able to take control of logging in your ever-changing Docker and Kubernetes environment.
- Overview of Containers
- Logs from Standard Output
- Filebeat Autodiscovery
- Logs from Inside a Container
- We recommend you have taken Elasticsearch Engineer I and Elasticsearch Engineer II or possess equivalent knowledge. Engineer I and Engineer II teach the concepts that are the foundation upon which all specializations are built.
- We also recommend that you have taken Logging Fundamentals (another module within this specialization).
- Stable internet connection
- Mac, Linux, or Windows
- Latest version of Chrome or Firefox (Safari is not 100% supported)
Virtual Classroom Information
This instructor-led course is only taught in a virtual classroom environment. We encourage participants to set up their systems prior to logging into the training environment the first day of the class. We also encourage being logged into the virtual classroom 15 minutes prior to the start of class each day.
This course is a module of the Logging specialization. Find out how our focused Training Specializations can help you with your use case.