Managing Advanced Kubernetes Logging and Tracing

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.
Course info
Rating
(28)
Level
Advanced
Updated
Jan 6, 2020
Duration
2h 56s
Table of contents
Description
Course info
Rating
(28)
Level
Advanced
Updated
Jan 6, 2020
Duration
2h 56s
Description

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.

About the author
About the author

Piotr is an automation enthusiast that prefers to interface people rather than machines. Loves to share his knowledge of tech, people skills, and what's in between.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi, everyone. My name is Peter Gaczkowski, and welcome to my course, Managing Advanced Logging and Tracing in Kubernetes. I am an independent DevOps consultant and an IT teacher. Debugging distributed applications can be hard unless we make our lives easier by implementing logging, tracing, and monitoring. This course is a guide helping you to introduce all of the elements necessary to make debugging Kubernetes applications much more enjoyable. Some of the major topics that we'll cover include accessing Kubernetes logs, managing logs with Fluentd and Elastic Stack, tracing with Jaeger, monitoring with Prometheus. By the end of this course, you'll learn what is observability and how each of the mentioned topics contributes towards it. Before beginning the course, you should be familiar with setting up and accessing a Kubernetes cluster, as well as deploying simple applications to Kubernetes. I hope you'll join me on this journey to learn different aspects of observability with the Advanced Logging and Tracing in Kubernetes course, at Pluralsight.