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 – core features

This section covers the following topics. These topics will provide a considerable amount of information, which is required to build a good understanding and working knowledge of GKE. Most of these GKE concepts are an extension of topics learned about in the Kubernetes section. The topics that will be covered are as follows:

  • GKE node pools
  • GKE cluster types
  • Autoscaling in GKE
  • Networking in GKE
  • Cloud operations for GKE

The first of the GKE constructs that will be detailed in the upcoming sub-section is GKE node pools.

GKE node pools

Nodes (that is, worker nodes) in a Kubernetes cluster deploy workloads. The nature of workloads deployed across all nodes might not be the same. Some workloads might be CPU-intensive, others might be memory-intensive, and some might need a minimum version of the CPU platform. Workloads can also be fault-tolerant batch jobs or might need a specific type of storage such as SSD.

A node pool...