Illustrated Cloud Reference
Visualizing Google Cloud: 101 Illustrated References for Cloud Engineers and Architects
By Priyanka Vergadia
An easy-to-follow visual walkthrough of important Google Cloud services,
technologies and solution choices for modern cloud environments.
Understand Google Cloud Through Visual Learning
Google Cloud provides a broad ecosystem of specialized services that can support
everything from everyday IT requirements such as storage and computing to advanced
workloads involving data analytics, artificial intelligence and machine learning.
With so many available services and deployment choices, understanding which service
is appropriate for a particular requirement can be challenging.
This illustrated reference takes a visual approach to the Google Cloud ecosystem.
Instead of relying solely on lengthy technical explanations, it uses flowcharts,
diagrams and decision-oriented references to help readers understand available
services and identify solutions that can be adapted to their own cloud use cases.
A Visual Approach to Cloud Architecture
The book is designed to make complex cloud concepts easier to understand by
connecting services, technologies and use cases through visual references.
Decision diagrams and illustrated workflows provide a practical way to explore
different Google Cloud capabilities.
Flowcharts
Follow visual workflows that connect cloud requirements with possible
Google Cloud service choices.
Decision Diagrams
Use visual decision-making references to compare and identify appropriate
cloud capabilities for different scenarios.
Illustrated References
Quickly review important cloud technologies using concise visual
explanations.
Practical Use Cases
Relate Google Cloud services to real-world migration, deployment and
technology requirements.
Eight Major Google Cloud Service Categories
01. Compute
Explore cloud computing options for running applications, workloads and
infrastructure in scalable environments.
02. Storage
Understand different cloud storage approaches and how storage services
can support applications and data.
03. Databases
Review database technologies and considerations for selecting appropriate
cloud-based data platforms.
04. Data Analytics
Explore cloud capabilities for processing, analyzing and gaining value
from organizational data.
05. Data Science, ML & AI
Examine cloud technologies supporting data science, machine learning
and artificial intelligence workloads.
06. Application Development
Learn about application development, modernization and container-based
approaches within Google Cloud.
07. Networking
Understand cloud networking capabilities and how network services support
modern cloud architectures.
08. Security
Explore security-related cloud capabilities for protecting applications,
infrastructure, data and workloads.
Understand Different Cloud Models
The book also introduces major categories of cloud models and deployment
technologies, helping readers understand the differences between infrastructure,
container, platform, function and serverless approaches.
Infrastructure
Cloud infrastructure approaches for computing and operational resources.
Containers
Container-based application deployment and modernization concepts.
Platforms
Platform-based cloud services designed to simplify application development.
Functions
Function-oriented approaches for event-driven and application workloads.
Serverless
Serverless concepts and service approaches for modern cloud applications.
Who Can Benefit From This Book?
Cloud Engineers
Build a broader understanding of Google Cloud services and how they can
fit into cloud-based solutions.
Cloud Architects
Useful as a visual reference when considering cloud architectures,
service selection and solution design.
IT Decision-Makers
Helps provide a clearer high-level view of the technologies available
when planning cloud strategies.
Data & ML Engineers
Explore cloud capabilities related to data analytics, data science,
machine learning and AI.
Cloud Learners
A visual reference for anyone developing foundational knowledge of
Google Cloud technologies.
Certification Candidates
Useful as a supplementary visual reference when preparing for
Google Cloud certification studies.
Useful for Cloud Migration & Deployment Planning
Moving workloads to the cloud requires more than selecting a hosting environment.
Organizations must consider computing resources, data storage, databases, networking,
application architecture, security, analytics and increasingly artificial intelligence
and machine learning capabilities.
By organizing Google Cloud services into major technology categories and presenting
approximately 100 illustrated solution references, this guide can serve as a convenient
reference when exploring cloud migration strategies, new deployments and technology
options.
Key Benefits of This Visual Reference
Easy to Follow
Visual explanations make complicated cloud service relationships easier
to follow and review.
Broad Coverage
Covers major Google Cloud technology categories from compute and storage
to AI, networking and security.
Practical Reference
Designed as a reference that readers can return to when exploring
cloud solutions and architectures.
Architecture Focus
Helps readers think about cloud technologies in relation to complete
solution architectures.
Book Information
Author
Priyanka Vergadia
Subject
Google Cloud Computing
Format
Illustrated Technical Reference
Primary Audience
Cloud Engineers, Architects, IT Professionals & Learners
See Google Cloud Differently
Whether you are planning a cloud migration, designing a new deployment,
preparing for certification, exploring data and AI technologies, or simply
building your Google Cloud knowledge, this visual reference provides a
practical way to explore the major components of the Google Cloud ecosystem.
