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. 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
This course is a module of the Logging specialization. Find out how our focused Training Specializations can help you with your use case.
Software Developers and Engineers, Data Architects, System Administrators, DevOps
Virtual Classroom - 1 day | 2-3 hours
- 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)
Upcoming Classes — Monitoring Kubernetes and Docker Container Logs
It was awesome. Both instructors are great speakers. They have a wide and deep knowledge about the topic, and they know how to pass it on. They are infecting with their enthusiasm.