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Google Cloud for DevOps Engineers

Google Cloud for DevOps Engineers

By : Madamanchi
4.5 (15)
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Google Cloud for DevOps Engineers

Google Cloud for DevOps Engineers

4.5 (15)
By: 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)
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1
Section 1: Site Reliability Engineering – A Prescriptive Way to Implement DevOps
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Section 2: Google Cloud Services to Implement DevOps via CI/CD
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Appendix: Getting Ready for Professional Cloud DevOps Engineer Certification

Section 2: Google Cloud Services to Implement DevOps via CI/CD

The core focus of this section is to deep dive into Google Cloud services that are critical to manage source code using Cloud Source Repositories, build code and create build artifacts, push artifacts to a registry, deploy the artifacts as containerized applications, orchestrate these applications in a cluster through managed compute services, secure the clusters, and finally, implement observability on the deployed applications through a suite of services focused on operations.

The section introduces key features around each of the core services along with hands-on labs as needed. All the labs throughout the section are connected, to provide a holistic understanding. The section concludes with SLO monitoring, a feature in Cloud Operations that allows tracking SRE technical practices for an application deployed to Google Kubernetes Engine (GKE).

This section comprises the following chapters:

CONTINUE READING
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Tech Concepts
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Programming languages
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Google Cloud for DevOps Engineers
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