GCP Cloud Architecture
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GCP Cloud Architecture

About the Book

A how-to guide for the GCP platform

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    • DevOps
    • Artificial Intelligence
    • Google Cloud Platform
    • Python
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About the Authors

Noah Gift
Noah Gift

Noah Gift lectures at MSDS, at Northwestern, Duke MIDS Graduate Data Science Program, and the Graduate Data Science program at UC Berkeley and the UC Davis Graduate School of Management MSBA program, and UNC Charlotte Data Science Initiative. He is teaching and designing graduate machine learning, A.I., Data Science courses, and consulting on Machine Learning and Cloud Architecture for students and faculty. These responsibilities include leading a multi-cloud certification initiative for students. 

Noah is a Python Software Foundation Fellow.  He currently holds the following industry certifications for AWS:  AWS Subject Matter Expert (SME) on Machine LearningAWS Certified Solutions Architect, and AWS Certified Machine Learning SpecialistAWS Certified Big Data Specialist, AWS Academy Accredited Instructor, AWS Faculty Ambassador.  He also is certified on both the Google and Azure platform: Google Certified Professional Cloud ArchitectCertified Microsoft MTA on Python. He has published over 100 technical publications including multiple books on subjects ranging from Cloud Machine Learning to DevOps. Publications appear in Forbes, IBM, Red Hat, Microsoft, O'Reilly, Pearson, Udacity, Coursera, datascience.com, and DataCamp. Workshops and Talks around the world for organizations including NASA, PayPal, PyCon, Strata, O'Reilly Software Architecture Conference, and FooCamp. As an SME on Machine Learning for AWS, he helped created the AWS Machine Learning certification.

He has worked in roles ranging from CTO, General Manager, Consulting CTO, Consulting Chief Data Scientist, and Cloud Architect. This experience has been with a wide variety of companies: ABC, Caltech, Sony Imageworks, Disney Feature Animation, Weta Digital, AT&T, Turner Studios, and Linden Lab, and industries: Television, Film, Games, SaaS, Sports, Telecommunications. He has film credits in many major motion pictures for technical work, including Avatar, Spider-Man 3, and Superman Returns.

He has been responsible for shipping many new products at multiple companies that generated millions of dollars of revenue and had a global scale. Currently, he is consulting startups and other companies, on Machine Learning, Cloud Architecture, and CTO level consulting as the founder of Pragmatic A.I. Labs.

His most recent books are:

His most recent video courses are:

His most recent online courses are:

You can follow Noah Gift on social media and on the web at:

Andrew Nguyen
Andrew Nguyen

Andrew Nguyen is the Program Director of the Master of Science in Health Informatics (MSHI) program and inaugural Chair of the Department of Health Professions at the University of San Francisco. His current research is focused on the application of semantic computing and web technologies to healthcare in an effort to break down data silos and provide true interoperability. He is also interested in the integration and analysis of physiological sensor data to quickly and accurately detect changes in a patient's clinical state. He is the co-founder and CTO of qlaro, a digital health startup that provides ovarian cancer patients with a personalized guide as they navigate from diagnosis to survivorship.

He has professional experience in the defense/aerospace and wireless semiconductor industries as an embedded software/firmware engineer. Most recently, he has gone to the opposite end of the stack and spends most of his time in machine learning and cloud computing.

Outside of work, Andrew enjoys hiking, rock climbing, SCUBA diving, and volunteering with a local search and rescue team.

Alfredo Deza
Alfredo Deza

Alfredo Deza is a passionate software engineer, avid open source developer, Vim plugin author, photographer, and former Olympic athlete. He has given several lectures around the world about Open Source Software, personal development, and professional sports. He has rebuilt company infrastructure, designed shared storage, and replaced complex build systems, always in search of efficient and resilient environments. With a strong belief in testing and documentation, he continues to drive robust development practices wherever he is.

As a spirited knowledge-craving developer Alfredo can be found giving presentations in local groups about Python, file systems and storage, system administration, and professional sports.

His most recent publication is Python For DevOps (O'reilly), and you can follow him on LinkedIn.

Table of Contents

  • Chapter 1: (Google) Cloud Overview
    • Cloud Concepts
    • GCP Concepts
    • Chapter 2: Getting Started
    • Create account
    • API’s
    • Google Cloud SDK and gcloud
  • Chapter 2: Translating Business Requirements to Technical Requirements
    • Determining Business Requirements
    • Managing Technical Requirements
  • Chapter 3: Architectural Decision Making
    • Abstractions
  • Chapter 4: Compute Options for App Development on the Google Cloud Platform
    • GCE
    • Google App Engine and Cloud Build Continuous Delivery
  • Chapter 5: Storage
    • The Four Fallacies
    • The CAP theorem
    • Cloud Storage
    • SQL
    • NoSQL
    • Bigtable
    • Memorystore
    • Cloud SQL
    • Cloud Spanner
  • Chapter 6: Containers and Orchestration
    • Intro to Containers and Kubernetes
    • Google Container Registry
    • Google Kubernetes Engine
  • Chapter 7: Serverless
    • Types of Functions
    • A basic function
    • Advanced setup

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