Managing applications in Kubernetes is a complex task. Implementing logging, tracing, and monitoring can reduce the complexities by giving observability into the system. In this course, you'll see how to implement them in your own cluster.
Applications running on the Kubernetes cluster often feature a lot of different microservices that communicate using network calls. With many dependencies and the sheer number of services to watch, it quickly becomes impractical to debug the application behavior or to find out what causes reduced performance. In this course, Managing Advanced Kubernetes Logging and Tracing, you'll gain the ability to introduce observability within your applications. First, you'll explore logging. Next, you'll delve into tracing. Finally, you'll learn how to introduce monitoring. When you're finished with this course, you'll have the skills and knowledge of different aspects of observability needed to build and manage reliable and scalable distributed systems.Topics:
- Course Overview
- Why Are Logging and Tracing Important?
- Accessing the Kubernetes Logs
- Collecting and Analyzing the Logs
- Distributed Tracing in Kubernetes
- Monitoring with Prometheus
- Advanced Use Cases for Observability