Book Image

Introduction to DevOps with Kubernetes

By : Onur Yılmaz, Süleyman Akba≈ü
Book Image

Introduction to DevOps with Kubernetes

By: Onur Yılmaz, Süleyman Akba≈ü

Overview of this book

Kubernetes and DevOps are the two pillars that can keep your business at the top by ensuring high performance of your IT infrastructure. Introduction to DevOps with Kubernetes will help you develop the skills you need to improve your DevOps with the power of Kubernetes. The book begins with an overview of Kubernetes primitives and DevOps concepts. You'll understand how Kubernetes can assist you with overcoming a wide range of real-world operation challenges. You will get to grips with creating and upgrading a cluster, and then learn how to deploy, update, and scale an application on Kubernetes. As you advance through the chapters, you’ll be able to monitor an application by setting up a pod failure alert on Prometheus. The book will also guide you in configuring Alertmanager to send alerts to the Slack channel and trace down a problem on the application using kubectl commands. By the end of this book, you’ll be able to manage the lifecycle of simple to complex applications on Kubernetes with confidence.
Table of Contents (11 chapters)

Running Docker Containers

Containers in Docker are considered ephemeral environments where executables are run, and no state is kept. This is partially true, since the data generated inside the container is only available in the same container. However, Docker Engine provides methods that allow you to share data between the host system and containers. In addition, the services inside the containers are reachable between the host system and other containers.

In this section, we will explain how to run Docker containers using volume and port mapping in order to show how containers are used for stateful services. Running a container starts by running processes, which are packaged as Docker images, as isolated containers. This could be initiated by the docker run command, or programmatically by using the Docker API on local or remote host systems. Docker Engine provides more than just running processes and it can attach networks or volumes, ensure runtime constraints on resources...