Victor Dantas - Architecting Google Cloud Solutions: Learn to design robust and future-proof solutions with Google Cloud technologies
Here you can read online Victor Dantas - Architecting Google Cloud Solutions: Learn to design robust and future-proof solutions with Google Cloud technologies full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2021, publisher: Packt Publishing, genre: Home and family. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:
Romance novel
Science fiction
Adventure
Detective
Science
History
Home and family
Prose
Art
Politics
Computer
Non-fiction
Religion
Business
Children
Humor
Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.
- Book:Architecting Google Cloud Solutions: Learn to design robust and future-proof solutions with Google Cloud technologies
- Author:
- Publisher:Packt Publishing
- Genre:
- Year:2021
- Rating:3 / 5
- Favourites:Add to favourites
- Your mark:
Architecting Google Cloud Solutions: Learn to design robust and future-proof solutions with Google Cloud technologies: summary, description and annotation
We offer to read an annotation, description, summary or preface (depends on what the author of the book "Architecting Google Cloud Solutions: Learn to design robust and future-proof solutions with Google Cloud technologies" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.
Achieve your infrastructure goals and optimize business processes by designing robust, highly available, and dynamic solutions
Key Features- Gain hands-on experience in designing and managing high-performance cloud solutions
- Leverage Google Cloud Platform to optimize technical and business processes using cutting-edge technologies and services
- Use Google Cloud Big Data, AI, and ML services to design scalable and intelligent data solutions
Google has been one of the top players in the public cloud domain thanks to its agility and performance capabilities. This book will help you design, develop, and manage robust, secure, and dynamic solutions to successfully meet your business needs.
Youll learn how to plan and design network, compute, storage, and big data systems that incorporate security and compliance from the ground up. The chapters will cover simple to complex use cases for devising solutions to business problems, before focusing on how to leverage Google Clouds Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) capabilities for designing modern no-operations platforms. Throughout this book, youll discover how to design for scalability, resiliency, and high availability. Later, youll find out how to use Google Cloud to design modern applications using microservices architecture, automation, and Infrastructure-as-Code (IaC) practices. The concluding chapters then demonstrate how to apply machine learning and artificial intelligence (AI) to derive insights from your data. Finally, you will discover best practices for operating and monitoring your cloud solutions, as well as performing troubleshooting and quality assurance.
By the end of this Google Cloud book, youll be able to design robust enterprise-grade solutions using Google Cloud Platform.
What you will learn- Get to grips with compute, storage, networking, data analytics, and pricing
- Discover delivery models such as IaaS, PaaS, and SaaS
- Explore the underlying technologies and economics of cloud computing
- Design for scalability, business continuity, observability, and resiliency
- Secure Google Cloud solutions and ensure compliance
- Understand operational best practices and learn how to architect a monitoring solution
- Gain insights into modern application design with Google Cloud
- Leverage big data, machine learning, and AI with Google Cloud
This book is for cloud architects who are responsible for designing and managing cloud solutions with GCP. Youll also find the book useful if youre a system engineer or enterprise architect looking to learn how to design solutions with Google Cloud. Moreover, cloud architects who already have experience with other cloud providers and are now beginning to work with Google Cloud will benefit from the book. Although an intermediate-level understanding of cloud computing and distributed apps is required, prior experience of working in the public and hybrid cloud domain is not mandatory.
Table of Contents- An Introduction to Google Cloud for Architects
- Mastering the Basics of Google Cloud
- Designing the Network
- Architecting Compute Infrastructure
- Architecting Storage and Data Infrastructure
- Configuring Services for Observability
- Designing for Security and Compliance
- Approaching Big Data and Data Pipelines
- Jumping on the DevOps Bandwagon with Site Reliability Engineering (SRE)
- Re-Architecting with Microservices
- Applying Machine Learning and Artificial Intelligence
- Achieving Operational Excellence
Victor Dantas: author's other books
Who wrote Architecting Google Cloud Solutions: Learn to design robust and future-proof solutions with Google Cloud technologies? Find out the surname, the name of the author of the book and a list of all author's works by series.