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

Cloud Debugger

Cloud Debugger allows us to inspect the state of a running application in real time. Cloud Debugger doesn't require the application to be stopped during this process and doesn't slow it down, either. Users can capture the call stack and variables at any location in the source code. This essentially allows the user to analyze the application state, especially in complex situations, without adding any additional log statements.

In addition, Cloud Debugger can be used for production environments and is not limited to development or test environments. When Cloud Debugger captures the application state, it adds request latency that is less than 10 ms, which, practically, is not noticeable by users.

Cloud Debugger is supported on applications running in GCP such as App Engine, Compute Engineer, GKE, Cloud Run, and so on, as well as those written in a number of languages, including Java, Python, Go, Node.js, Ruby, PHP, and .NET. Cloud Debugger needs access to...