Book Image

Professional Cloud Architect Google Cloud Certification Guide - Second Edition

By : Konrad Cłapa, Brian Gerrard
5 (1)
Book Image

Professional Cloud Architect Google Cloud Certification Guide - Second Edition

5 (1)
By: Konrad Cłapa, Brian Gerrard

Overview of this book

Google Cloud Platform (GCP) is one of the industry leaders thanks to its array of services that can be leveraged by organizations to bring the best out of their infrastructure. This book is a comprehensive guide for learning methods to effectively utilize GCP services and help you become acquainted with the topics required to pass Google's Professional Cloud Architect certification exam. Following the Professional Cloud Architect's official exam syllabus, you'll first be introduced to the GCP. The book then covers the core services that GCP offers, such as computing and storage, and takes you through effective methods of scaling and automating your cloud infrastructure. As you progress through the chapters, you'll get to grips with containers and services and discover best practices related to the design and process. This revised second edition features new topics such as Cloud Run, Anthos, Data Fusion, Composer, and Data Catalog. By the end of this book, you'll have gained the knowledge required to take and pass the Google Cloud Certification – Professional Cloud Architect exam and become an expert in GCP services.
Table of Contents (25 chapters)
1
Section 1: Introduction to GCP
5
Section 2: Manage, Design, and Plan a Cloud Solution Architecture
14
Chapter 12: Exploring Storage and Database Options in GCP – Part 2
17
Section 3: Secure, Manage and Monitor a Google Cloud Solution
21
Section 4: Exam Focus

Summary

In this chapter, we learned about Google Cloud's operations suite and how to monitor GCP services, resources, and applications. There are three main functionalities that we looked into: Monitoring, Logging, and APM.

To enhance monitoring and logging capabilities, install agents on the instances. Monitoring allows predefined metrics to be monitored. Logging allows you to create log-based metrics. Alert policies can be created on conditions, and they can send notifications to endpoints of your choosing. Tracing facilitates an understanding of the latency of your application components, including microservices and load balancers. Debugging allows you to look at a snapshot of the code that is causing an error, without stopping the application. Profiler shows how many resources are used by different components of the application. Finally, Error Reporting aggregates the error logs of the application and displays them on timescale charts.

In the exam, some questions may...