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

Hands-on lab – building, creating, pushing, and deploying a container to Cloud Run using Cloud Build triggers

The goal of this hands-on lab is to provide a step-by-step illustration of how code can be automatically built, pushed, and deployed to a compute option called Cloud Run.

Cloud Run

Cloud Run is GCP's managed serverless compute option, which deploys containers and abstracts away the infrastructure management. Cloud Run can scale up or down from zero based on traffic and charges on a pay-per-use model.

The hands-on lab implements concepts across Cloud Build and Container Registry. The following is a high-level breakdown of the steps involved. Each of the steps is further elaborated into multiple sub-steps:

  1. Creating an empty repository in Source Repositories
  2. Creating a Cloud Build trigger
  3. Adding code and pushing it to the master branch
  4. Code walk-through to build, create, push, and deploy the container image
  5. Viewing the build results...