Book Image

DevOps with Kubernetes - Second Edition

By : Hideto Saito, Hui-Chuan Chloe Lee, Cheng-Yang Wu
Book Image

DevOps with Kubernetes - Second Edition

By: Hideto Saito, Hui-Chuan Chloe Lee, Cheng-Yang Wu

Overview of this book

Kubernetes has been widely adopted across public clouds and on-premise data centers. As we're living in an era of microservices, knowing how to use and manage Kubernetes is an essential skill for everyone in the IT industry. This book is a guide to everything you need to know about Kubernetes—from simply deploying a container to administrating Kubernetes clusters wisely. You'll learn about DevOps fundamentals, as well as deploying a monolithic application as microservices and using Kubernetes to orchestrate them. You will then gain an insight into the Kubernetes network, extensions, authentication and authorization. With the DevOps spirit in mind, you'll learn how to allocate resources to your application and prepare to scale them efficiently. Knowing the status and activity of the application and clusters is crucial, so we’ll learn about monitoring and logging in Kubernetes. Having an improved ability to observe your services means that you will be able to build a continuous delivery pipeline with confidence. At the end of the book, you'll learn how to run managed Kubernetes services on three top cloud providers: Google Cloud Platform, Amazon Web Services, and Microsoft Azure.
Table of Contents (14 chapters)

Monitoring and Logging

Monitoring and logging are crucial parts of a site's reliability. So far, we've learned how to use various controllers to take care of our application. We have also looked at how to utilize services together with Ingress to serve our web applications, both internally and externally. In this chapter, we'll gain more visibility over our applications by looking at the following topics:

  • Getting a status snapshot of a container
  • Monitoring in Kubernetes
  • Converging metrics from Kubernetes with Prometheus
  • Various concepts to do with logging in Kubernetes
  • Logging with Fluentd and Elasticsearch
  • Gaining insights into traffic between services using Istio