At the start of this chapter, we described how to get the status of running containers quickly by means of built-in functions such as kubectl. Then we expanded the discussion to concepts and principles of monitoring, including why it is necessary to do monitoring, what to monitor, and how to monitor. Afterwards, we built a monitoring system with Prometheus as the core, and set up exporters to collecting metrics from Kubernetes. The fundamentals of Prometheus were also introduced so that we can leverage metrics to gain more understanding of our cluster as well as the applications running inside. On the logging part, we mentioned common patterns of logging and how to deal with them in Kubernetes, and deployed an EFK stack to converge logs. The system we built in this chapter facilitates the reliability of our service. Next, we are advancing to set up a pipeline to deliver...
DevOps with Kubernetes
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DevOps with Kubernetes
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Overview of this book
Containerization is said to be the best way to implement DevOps. Google developed Kubernetes, which orchestrates containers efficiently and is considered the frontrunner in container orchestration. Kubernetes is an orchestrator that creates and manages your containers on clusters of servers. This book will guide you from simply deploying a container to administrate a Kubernetes cluster, and then you will learn how to do monitoring, logging, and continuous deployment in DevOps. The initial stages of the book will introduce the fundamental DevOps and the concept of containers. It will move on to how to containerize applications and deploy them into. The book will then introduce
networks in Kubernetes. We then move on to advanced DevOps skills such as monitoring, logging, and continuous deployment in Kubernetes. It will proceed to introduce permission control for Kubernetes resources via attribute-based access control and role-based access control. The final stage of the book will cover deploying and managing your
container clusters on the popular public cloud Amazon Web Services and Google
Cloud Platform. At the end of the book, other orchestration frameworks, such as
Docker Swarm mode, Amazon ECS, and Apache Mesos will be discussed.
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Current Title:
DevOps with Kubernetes
Table of Contents (12 chapters)
Preface
Free Chapter
Introduction to DevOps
DevOps with Container
Getting Started with Kubernetes
Working with Storage and Resources
Network and Security
Monitoring and Logging
Continuous Delivery
Cluster Administration
Kubernetes on AWS
Kubernetes on GCP
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