So far, we've learned lots of principles to fabricate an impervious monitoring system in Kubernetes toward a robust service, and it's time to implement a pragmatic one. Because the vast majority of Kubernetes components expose their instrumented metrics on a conventional path in Prometheus format, we are free to use any monitoring tool with which we are acquainted as long as the tool understands the format. In this section, we'll set up an example with an open-source project, Prometheus (https://prometheus.io), which is a platform-independent monitoring tool. Its popularity in Kubernetes' ecosystem is for not only its powerfulness but also for its being backed by the Cloud Native Computing Foundation (https://www.cncf.io/), who also sponsors the Kubernetes project.
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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