Book Image

Professional Cloud Architect – Google Cloud Certification Guide

By : Konrad Cłapa, Brian Gerrard
Book Image

Professional Cloud Architect – Google Cloud Certification Guide

By: Konrad Cłapa, Brian Gerrard

Overview of this book

Google Cloud Platform (GCP) is one of the leading cloud service suites and offers solutions for storage, analytics, big data, machine learning, and application development. It features an array of services that can help organizations to get the best out of their infrastructure. This comprehensive guide covers a variety of topics specific to Google's Professional Cloud Architect official exam syllabus and guides you in using the right methods for effective use of GCP services. You'll start by exploring GCP, understanding the benefits of becoming a certified architect, and learning how to register for the exam. You'll then delve into the core services that GCP offers such as computing, storage, and security. As you advance, this GCP book will help you get up to speed with methods to scale and automate your cloud infrastructure and delve into containers and services. In the concluding chapters, you'll discover security best practices and even gain insights into designing applications with GCP services and monitoring your infrastructure as a GCP architect. By the end of this book, you will be well versed in all the topics required to pass Google's Professional Cloud Architect exam and use GCP services effectively.
Table of Contents (26 chapters)
Free Chapter
1
Section 1: Introduction to GCP
5
Section 2: Managing, Designing, and Planning a Cloud Solution Architecture
15
Section 3: Designing for Security and Compliance
17
Section 4: Managing Implementation
19
Section 5: Ensuring Solution and Operations Reliability
21
Section 6: Exam Focus

Summary

In this chapter, we learned about Stackdriver and how to monitor GCP services, resources, and applications. There are three main functionalities:

  • Monitoring
  • Logging
  • 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 error logs of the application, and displays them on timescale...