Book Image

Google Cloud for DevOps Engineers

By : Sandeep Madamanchi
Book Image

Google Cloud for DevOps Engineers

By: Sandeep Madamanchi

Overview of this book

DevOps is a set of practices that help remove barriers between developers and system administrators, and is implemented by Google through site reliability engineering (SRE). With the help of this book, you'll explore the evolution of DevOps and SRE, before delving into SRE technical practices such as SLA, SLO, SLI, and error budgets that are critical to building reliable software faster and balance new feature deployment with system reliability. You'll then explore SRE cultural practices such as incident management and being on-call, and learn the building blocks to form SRE teams. The second part of the book focuses on Google Cloud services to implement DevOps via continuous integration and continuous delivery (CI/CD). You'll learn how to add source code via Cloud Source Repositories, build code to create deployment artifacts via Cloud Build, and push it to Container Registry. Moving on, you'll understand the need for container orchestration via Kubernetes, comprehend Kubernetes essentials, apply via Google Kubernetes Engine (GKE), and secure the GKE cluster. Finally, you'll explore Cloud Operations to monitor, alert, debug, trace, and profile deployed applications. By the end of this SRE book, you'll be well-versed with the key concepts necessary for gaining Professional Cloud DevOps Engineer certification with the help of mock tests.
Table of Contents (17 chapters)
1
Section 1: Site Reliability Engineering – A Prescriptive Way to Implement DevOps
6
Section 2: Google Cloud Services to Implement DevOps via CI/CD
Appendix: Getting Ready for Professional Cloud DevOps Engineer Certification

GKE Autopilot – hands-on lab

GKE Autopilot or Autopilot is one of the two modes of operation supported by GKE. The other mode being the standard mode (which was elaborated on at the start of this chapter). Autopilot removes the need to perform do-it-yourself (DIY) actions during cluster creation and instead creates a cluster with the industry-standard recommendations regarding networking and security. In addition, Autopilot removes the need to configure node pools or estimate the size of the cluster upfront. Nodes are automatically provisioned based on the types of deployed workloads and the user is essentially charged for the running workloads.

Autopilot is not only managed but is also a serverless K8s offering from GKE. Autopilot, however, does not offer all cluster configuration choices offered by the standard mode. The following table represents the configuration choices offered by Autopilot in comparison to the standard mode:

The following...