[PDF] Getting Started With Cloud Computing And Google Cloud - eBooks Review

Getting Started With Cloud Computing And Google Cloud


Getting Started With Cloud Computing And Google Cloud
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Getting Started With Cloud Computing And Google Cloud


Getting Started With Cloud Computing And Google Cloud
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Author : Navveen Balani
language : en
Publisher: Independently Published
Release Date : 2023-01-05

Getting Started With Cloud Computing And Google Cloud written by Navveen Balani and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-05 with categories.


Welcome to the book-"Getting started with Cloud Computing and Google Cloud". So what you will learn from this book - The intent of this book is to provide a practical guidance on how to get started with cloud computing and Google Cloud and be productive in a shortest possible timeframe. This book provides a mix of basic foundation concepts, along with advanced topics which teaches you practical cloud computing concepts and fundamentals, the "why" and "how" part of getting things done to build cloud applications. The concepts are generic in nature and applicable to all cloud providers like AWS and Azure, but the Labs demonstration is available only for Google Cloud. The concepts in the book are greatly simplified as compared to other books, so even if you are new to the technology world or making a switch to cloud, you should be able to easily understand the concepts and carry out the Lab exercises. So what's unique about this book - Apart from cloud computing, the book also teaches you dual skills on how to create multi cloud applications - basically build applications in a way that can be deployed to any cloud provider, like Google Cloud, Azure or AWS. Secondly, the book teaches you practical ways of getting things done that would help you in your cloud journey. So, if you are new to cloud computing and need to build a strong foundation, or getting started on Google Cloud or want to know how to build multi-cloud applications, then this book is for you. As part of this book, there are many hands-on sessions and gradually we would build an end-to-end production ready application on Google Cloud. The hands-on session are available as set of videos. What else you need to know about this book - The book will definitely give you a head start, but you need to look for other sources like cloud documentation offered by the providers to deep dive into the details. Each cloud provider provides 100 of services and you usually leverage them based on your applications requirements and start building expertise on it, like what service can be used for which requirements. Cloud is a very vast topic and you can't fit all concepts in one book. Secondly Learning is a continuous process and my job is to introduce you to the concepts, provide you with hands-on expertise, help you build production-grade applications, so can you use this as a solid foundation to build cloud applications confidently. The book is created as a course ware, divided into learning sessions, visual cards and Labs. Each session provides just the right level of details, with visual cards providing key messaging or takeaways and Labs providing step by step instructions through video.



Cloud Computing For Startups Getting Started


Cloud Computing For Startups Getting Started
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Author : James Fulton
language : en
Publisher: Fulton Publishing Agency
Release Date :

Cloud Computing For Startups Getting Started written by James Fulton and has been published by Fulton Publishing Agency this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.


Cloud Computing for Startups: Getting Started is a practical guide designed to help entrepreneurs leverage cloud technology to launch and grow their businesses efficiently. The book begins by explaining the fundamentals of cloud computing, including its benefits and various service models, such as Infrastructure as a Service (IaaS) and Software as a Service (SaaS). It emphasizes the importance of scalability, cost-effectiveness, and flexibility for startups, providing step-by-step instructions on how to choose the right cloud services, manage resources, and ensure data security. Through real-world examples and actionable insights, the author equips readers with the knowledge and tools necessary to harness cloud solutions effectively, ultimately helping them streamline operations and foster innovation in their startup ventures.



Cloud Computing


Cloud Computing
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Author : Kris Jamsa
language : en
Publisher: Jones & Bartlett Learning
Release Date : 2022-03-21

Cloud Computing written by Kris Jamsa and has been published by Jones & Bartlett Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-21 with Computers categories.


Cloud Computing, Second Edition accounts for the many changes to the then-emerging business model and technology paradigm.



The Ultimate Guide To Building A Google Cloud Foundation


The Ultimate Guide To Building A Google Cloud Foundation
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Author : Patrick Haggerty
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-08-26

The Ultimate Guide To Building A Google Cloud Foundation written by Patrick Haggerty and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-26 with Computers categories.


Follow Google's own ten-step plan to construct a secure, reliable, and extensible foundation for all your Google Cloud base infrastructural needs Key FeaturesBuild your foundation in Google Cloud with this clearly laid out, step-by-step guideGet expert advice from one of Google's top trainersLearn to build flexibility and security into your Google Cloud presence from the ground upBook Description From data ingestion and storage, through data processing and data analytics, to application hosting and even machine learning, whatever your IT infrastructural need, there's a good chance that Google Cloud has a service that can help. But instant, self-serve access to a virtually limitless pool of IT resources has its drawbacks. More and more organizations are running into cost overruns, security problems, and simple "why is this not working?" headaches. This book has been written by one of Google's top trainers as a tutorial on how to create your infrastructural foundation in Google Cloud the right way. By following Google's ten-step checklist and Google's security blueprint, you will learn how to set up your initial identity provider and create an organization. Further on, you will configure your users and groups, enable administrative access, and set up billing. Next, you will create a resource hierarchy, configure and control access, and enable a cloud network. Later chapters will guide you through configuring monitoring and logging, adding additional security measures, and enabling a support plan with Google. By the end of this book, you will have an understanding of what it takes to leverage Terraform for properly building a Google Cloud foundational layer that engenders security, flexibility, and extensibility from the ground up. What you will learnCreate an organizational resource hierarchy in Google CloudConfigure user access, permissions, and key Google Cloud Platform (GCP) security groupsConstruct well thought out, scalable, and secure virtual networksStay informed about the latest logging and monitoring best practicesLeverage Terraform infrastructure as code automation to eliminate toilLimit access with IAM policy bindings and organizational policiesImplement Google's secure foundation blueprintWho this book is for This book is for anyone looking to implement a secure foundational layer in Google Cloud, including cloud engineers, DevOps engineers, cloud security practitioners, developers, infrastructural management personnel, and other technical leads. A basic understanding of what the cloud is and how it works, as well as a strong desire to build out Google Cloud infrastructure the right way will help you make the most of this book. Knowledge of working in the terminal window from the command line will be beneficial.



Google Cloud Platform For Enterprise Mlops A Practical Guide To Cloud Computing Part One


Google Cloud Platform For Enterprise Mlops A Practical Guide To Cloud Computing Part One
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Author : Jothi Periasamy
language : en
Publisher: Jothi Periasamy
Release Date : 2022-12-12

Google Cloud Platform For Enterprise Mlops A Practical Guide To Cloud Computing Part One written by Jothi Periasamy and has been published by Jothi Periasamy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-12 with Computers categories.




Getting Started With Google Kubernetes Engine


Getting Started With Google Kubernetes Engine
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Author : Nilanjana Saha
language : en
Publisher: BPB Publications
Release Date : 2025-04-17

Getting Started With Google Kubernetes Engine written by Nilanjana Saha and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Computers categories.


DESCRIPTION GKE simplifies deploying and managing containerized applications, a crucial skill in today's cloud-native landscape. This book guides you from foundational concepts to practical implementation, preparing you to effectively use GKE for scalable and reliable deployments. The book begins with an introduction to containerization and Kubernetes, laying the groundwork before diving into Google Cloud Platform (GCP) and GKE specifics. You will learn to create and configure GKE clusters, set up your development environment with essential tools like Helm and Argo CD, and deploy applications with scaling and networking configurations. The practical chapters cover monitoring with Prometheus and Grafana, implementing robust security measures, and troubleshooting common GKE issues. Finally, you will explore advanced topics like multi-cluster ingress and service mesh, enabling you to tackle complex deployments. By the end of this book, you will possess a strong understanding of GKE, capable of confidently deploying, managing, and optimizing containerized applications within Google Cloud. You will gain the skills necessary to leverage GKE's full potential, making you a valuable asset in any cloud-native development team. WHAT YOU WILL LEARN ● Understand core containerization and Kubernetes concepts, integrating with GCP services. ● Create, configure, and manage GKE clusters using gcloud and Terraform effectively. ● Setup GKE development environments with Helm, Argo CD, and monitoring tools. ● Deploy and scale applications on GKE using YAML, deployments, and services. ● Implement GKE networking principles, including load balancing and DNS configuration. ● Secure GKE clusters, manage secrets, and implement robust security policies. WHO THIS BOOK IS FOR This book is tailored for IT professionals transitioning to cloud roles, computer science students, DevOps engineers, SREs, platform engineers, and cloud developers seeking to gain practical GKE skills. TABLE OF CONTENTS 1. Introduction to Kubernetes and Containerization 2. Overview of Google Cloud Platform 3. Creating and Configuring a GKE Cluster 4. Setting Up Your GKE Environment 5. Deploying Applications on GKE 6. Networking in GKE 7. Monitoring and Logging 8. Security in GKE 9. Troubleshooting and Best Practices 10. Advanced Topics in GKE



Journey To Become A Google Cloud Machine Learning Engineer


Journey To Become A Google Cloud Machine Learning Engineer
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Author : Dr. Logan Song
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-09-20

Journey To Become A Google Cloud Machine Learning Engineer written by Dr. Logan Song and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-20 with Computers categories.


Prepare for the GCP ML certification exam along with exploring cloud computing and machine learning concepts and gaining Google Cloud ML skills Key FeaturesA comprehensive yet easy-to-follow Google Cloud machine learning study guideExplore full-spectrum and step-by-step practice examples to develop hands-on skillsRead through and learn from in-depth discussions of Google ML certification exam questionsBook Description This book aims to provide a study guide to learn and master machine learning in Google Cloud: to build a broad and strong knowledge base, train hands-on skills, and get certified as a Google Cloud Machine Learning Engineer. The book is for someone who has the basic Google Cloud Platform (GCP) knowledge and skills, and basic Python programming skills, and wants to learn machine learning in GCP to take their next step toward becoming a Google Cloud Certified Machine Learning professional. The book starts by laying the foundations of Google Cloud Platform and Python programming, followed the by building blocks of machine learning, then focusing on machine learning in Google Cloud, and finally ends the studying for the Google Cloud Machine Learning certification by integrating all the knowledge and skills together. The book is based on the graduate courses the author has been teaching at the University of Texas at Dallas. When going through the chapters, the reader is expected to study the concepts, complete the exercises, understand and practice the labs in the appendices, and study each exam question thoroughly. Then, at the end of the learning journey, you can expect to harvest the knowledge, skills, and a certificate. What you will learnProvision Google Cloud services related to data science and machine learningProgram with the Python programming language and data science librariesUnderstand machine learning concepts and model development processesExplore deep learning concepts and neural networksBuild, train, and deploy ML models with Google BigQuery ML, Keras, and Google Cloud Vertex AIDiscover the Google Cloud ML Application Programming Interface (API)Prepare to achieve Google Cloud Professional Machine Learning Engineer certificationWho this book is for Anyone from the cloud computing, data analytics, and machine learning domains, such as cloud engineers, data scientists, data engineers, ML practitioners, and engineers, will be able to acquire the knowledge and skills and achieve the Google Cloud professional ML Engineer certification with this study guide. Basic knowledge of Google Cloud Platform and Python programming is required to get the most out of this book.



Hands On Serverless Computing With Google Cloud


Hands On Serverless Computing With Google Cloud
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Author : Richard Rose
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-02-14

Hands On Serverless Computing With Google Cloud written by Richard Rose and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-14 with Computers categories.


Effectively deploy fully managed workloads using Google Cloud's serverless services Key FeaturesUse real-world use cases to understand the core functionalities of Functions as a ServiceExplore the potential of Cloud Run, Knative, Cloud Build, Google Kubernetes Engine, and Cloud StorageGet to grips with architectural decisions, seamless deployments, containerization, and serverless solutionsBook Description Google Cloud's serverless platform allows organizations to scale fully managed solutions without worrying about the underlying infrastructure. With this book, you will learn how to design, develop, and deploy full stack serverless apps on Google Cloud. The book starts with a quick overview of the Google Cloud console, its features, user interface (UI), and capabilities. After getting to grips with the Google Cloud interface and its features, you will explore the core aspects of serverless products such as Cloud Run, Cloud Functions and App Engine. You will also learn essential features such as version control, containerization, and identity and access management with the help of real-world use cases. Later, you will understand how to incorporate continuous integration and continuous deployment (CI/CD) techniques for serverless applications. Toward the concluding chapters, you will get to grips with how key technologies such as Knative enable Cloud Run to be hosted on multiple platforms including Kubernetes and VMware. By the end of this book, you will have become proficient in confidently developing, managing, and deploying containerized applications on Google Cloud. What you will learnExplore the various options for deploying serverless workloads on Google CloudDetermine the appropriate serverless product for your application use caseIntegrate multiple lightweight functions to build scalable and resilient servicesIncrease productivity through build process automationUnderstand how to secure serverless workloads using service accountsBuild a scalable architecture with Google Cloud Functions and Cloud RunWho this book is for If you are a cloud administrator, architect, or developer who wants to build scalable systems and deploy serverless workloads on Google Cloud, then this book is for you. To get the most out of this book, a basic understanding of the serverless ecosystem and cloud computing will be beneficial.



Learning Google Cloud Vertex Ai


Learning Google Cloud Vertex Ai
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Author : Hemanth Kumar K
language : en
Publisher: BPB Publications
Release Date : 2023-08-28

Learning Google Cloud Vertex Ai written by Hemanth Kumar K and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-28 with Computers categories.


Learn how to build an end-to-end data to AI solution on Google Cloud using Vertex AI KEY FEATURES ● Harness the power of AutoML capabilities to build machine learning models. ● Learn how to train custom machine learning models on the Google Cloud Platform. ● Accelerate your career in data analytics by leveraging the capabilities of GCP. DESCRIPTION Google Cloud Vertex AI is a platform for machine learning (ML) offered by Google Cloud, with the objective of making the creation, deployment, and administration of ML models on a large scale easier. If you are seeking a unified and collaborative environment for your ML projects, this book is a valuable resource for you. This comprehensive guide is designed to help data enthusiasts effectively utilize Google Cloud Platform's Vertex AI for a wide range of machine learning operations. It covers the basics of the Google Cloud Platform, encompassing cloud storage, big query, and IAM. Subsequently, it delves into the specifics of Vertex AI, including AutoML, custom model training, model deployment on endpoints, development of Vertex AI pipelines, and the Explainable AI feature store. By the time you finish reading this book, you will be able to navigate Vertex AI proficiently, even if you lack prior experience with cloud platforms. With the inclusion of numerous code examples throughout the book, you will be equipped with the necessary skills and confidence to create machine learning solutions using Vertex AI. WHAT YOU WILL LEARN ● Learn how to create projects, store data in GCP, and manage access permissions effectively. ● Discover how AutoML can be utilized for streamlining workflows. ● Learn how to construct pipelines using TFX (TensorFlow Extended) and Kubeflow components. ● Gain an overview of the purpose and significance of the Feature Store. ● Explore the concept of explainable AI and its role in understanding machine learning models. WHO THIS BOOK IS FOR This book is designed for data scientists and advanced AI practitioners who are interested in learning how to perform machine learning tasks on the Google Cloud Platform. Having prior knowledge of machine learning concepts and proficiency in Python programming would greatly benefit readers. TABLE OF CONTENTS 1. Basics of Google Cloud Platform 2. Introduction to Vertex AI and AutoML Tabular 3. AutoML Image, Text, and Pre-built Models 4. Vertex AI Workbench and Custom Model Training 5. Vertex AI Custom Model Hyperparameter and Deployment 6. Introduction to Pipelines and Kubeflow 7. Pipelines using Kubeflow for Custom Models 8. Pipelines using TensorFlow Extended 9. Vertex AI Feature Store 10. Explainable AI



Building Your Next Big Thing With Google Cloud Platform


Building Your Next Big Thing With Google Cloud Platform
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Author : Jose Ugia Gonzalez
language : en
Publisher: Apress
Release Date : 2015-06-15

Building Your Next Big Thing With Google Cloud Platform written by Jose Ugia Gonzalez and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-15 with Computers categories.


Building Your Next Big Thing with Google Cloud Platform shows you how to take advantage of the Google Cloud Platform technologies to build all kinds of cloud-hosted software and services for both public and private consumption. Whether you need a simple virtual server to run your legacy application or you need to architect a sophisticated high-traffic web application, Cloud Platform provides all the tools and products required to create innovative applications and a robust infrastructure to manage them. Google is known for the scalability, reliability, and efficiency of its various online products, from Google Search to Gmail. And, the results are impressive. Google Search, for example, returns results literally within fractions of second. How is this possible? Google custom-builds both hardware and software, including servers, switches, networks, data centers, the operating system’s stack, application frameworks, applications, and APIs. Have you ever imagined what you could build if you were able to tap the same infrastructure that Google uses to create and manage its products? Now you can! Building Your Next Big Thing with Google Cloud Platform shows you how to take advantage of the Google Cloud Platform technologies to build all kinds of cloud-hosted software and services for both public and private consumption. Whether you need a simple virtual server to run your legacy application or you need to architect a sophisticated high-traffic web application, Cloud Platform provides all the tools and products required to create innovative applications and a robust infrastructure to manage them. Using this book as your compass, you can navigate your way through the Google Cloud Platform and turn your ideas into reality. The authors, both Google Developer Experts in Google Cloud Platform, systematically introduce various Cloud Platform products one at a time and discuss their strengths and scenarios where they are a suitable fit. But rather than a manual-like "tell all" approach, the emphasis is on how to Get Things Done so that you get up to speed with Google Cloud Platform as quickly as possible. You will learn how to use the following technologies, among others: Google Compute Engine Google App Engine Google Container Engine Google App Engine Managed VMs Google Cloud SQL Google Cloud Storage Google Cloud Datastore Google BigQuery Google Cloud Dataflow Google Cloud DNS Google Cloud Pub/Sub Google Cloud Endpoints Google Cloud Deployment Manager Author on Google Cloud Platform Google APIs and Translate API Using real-world examples, the authors first walk you through the basics of cloud computing, cloud terminologies and public cloud services. Then they dive right into Google Cloud Platform and how you can use it to tackle your challenges, build new products, analyze big data, and much more. Whether you’re an independent developer, startup, or Fortune 500 company, you have never had easier to access to world-class production, product development, and infrastructure tools. Google Cloud Platform is your ticket to leveraging your skills and knowledge into making reliable, scalable, and efficient products—just like how Google builds its own products.