Book Image

Kubernetes and Docker - An Enterprise Guide

By : Scott Surovich, Marc Boorshtein
Book Image

Kubernetes and Docker - An Enterprise Guide

By: Scott Surovich, Marc Boorshtein

Overview of this book

Containerization has changed the DevOps game completely, with Docker and Kubernetes playing important roles in altering the flow of app creation and deployment. This book will help you acquire the knowledge and tools required to integrate Kubernetes clusters in an enterprise environment. The book begins by introducing you to Docker and Kubernetes fundamentals, including a review of basic Kubernetes objects. You’ll then get to grips with containerization and understand its core functionalities, including how to create ephemeral multinode clusters using kind. As you make progress, you’ll learn about cluster architecture, Kubernetes cluster deployment, and cluster management, and get started with application deployment. Moving on, you’ll find out how to integrate your container to a cloud platform and integrate tools including MetalLB, externalDNS, OpenID connect (OIDC), pod security policies (PSPs), Open Policy Agent (OPA), Falco, and Velero. Finally, you will discover how to deploy an entire platform to the cloud using continuous integration and continuous delivery (CI/CD). By the end of this Kubernetes book, you will have learned how to create development clusters for testing applications and Kubernetes components, and be able to secure and audit a cluster by implementing various open-source solutions including OpenUnison, OPA, Falco, Kibana, and Velero.
Table of Contents (20 chapters)
1
Section 1: Docker and Container Fundamentals
5
Section 2: Creating Kubernetes Development Clusters, Understanding objects, and Exposing Services
9
Section 3: Running Kubernetes in the Enterprise

Exploring auditing

In most environments where you run Kubernetes clusters, you will need to have an auditing system in place. While Kubernetes has some auditing features, they are often too limited for an enterprise to rely on for a complete audit trail, and logs are often only stored on each host filesystem.

In order to correlate events, you are required to pull all the logs you want to search through on your local system, and manually look through logs or pull them into a spreadsheet and attempt to create some macros to search and tie information together.

Fortunately, there are many third-party logging systems available for Kubernetes. Optional pay systems such as Splunk and Datadog are popular solutions and open source systems including the EFK stack are commonly used and included with many Kubernetes distributions. All of these systems include some form of a log forwarder that allows you to centralize your Kubernetes logs so you can create alerts, custom queries, and dashboards...