Architect Google Cloud Solutions That Go Beyond Certification
Key Features
? Master core GCP services, including Compute, Storage, and Networking.
? Apply GCP design patterns to real-world enterprise architecture.
? Prepare with exam-focused guidance, diagrams, and case scenarios.
Book Description
In today's cloud-first world, the Google Cloud Professional Cloud Architect certification stands as one of the most respected credentials in enterprise IT. Ultimate Google Professional Cloud Architect Certification Guide is your companion to achieving that goal.
This book goes far beyond exam preparation. It is a hands-on, real-world companion that walks you through every architectural decision-making point you will face on Google Cloud Platform (GCP). You will begin with the building blocks, such as Compute Engine, Autoscaling, Load Balancing, and Storage. From there, you will navigate through advanced networking, managed services like App Engine, and orchestration, using Google Kubernetes Engine (GKE).
As the chapters progress, you will unlock the power of serverless architectures with Cloud Functions and Cloud Run, explore asynchronous communication via Pub/Sub and Dataflow, and dive into Google Cloud's relational, NoSQL, and caching databases. Crucial topics like IAM, billing, resource hierarchy, and network peering are thoroughly covered to prepare you for enterprise-grade deployments. You will also master observability with Cloud Operations Suite and apply DevOps, CI/CD, and SRE principles in practical, deployment-ready scenarios.
Hence, whether you are an engineer looking to level up or an architect leading transformation initiatives, this book equips you with the knowledge, context, and confidence to succeed-not just in the exam, but in the real world of cloud architecture.
What you will learn
? Design scalable infrastructure with Compute Engine and Load Balancing.
? Architect secure networks, using VPCs, IAM, and Shared VPC.
? Implement serverless and containerized apps with Cloud Run and GKE.
? Leverage Google Cloud's asynchronous tools such as Pub/Sub and Dataflow.
? Choose and integrate relational, NoSQL, and caching databases.
? Apply DevOps, SRE, and CI/CD practices, using Cloud Operations tools.
Table of Contents
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GCP Compute Engine
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Autoscaling and Load Balancing
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GCP Storage Infrastructure (Block, File, and Object)
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GCP Networking
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Introduction to Managed Services on GCP and App Engine
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Google Kubernetes Engine
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Serverless Google Run Functions and Google Cloud Run
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Introduction to Asynchronous Communication in GCP
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Databases in GCP Overview
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Relational, NoSQL, and Caching Databases
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Authentication with Google Cloud IAM
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Exploring IAM, Project Organization, and Encryption
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Exploring Data Warehousing and Data Lifecycle on GCP
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Google Cloud Operations Suite
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Agile, DevOps, SRE, SDLC, and Other Important GCP Topics
Index
