Getting Started With Cloud Computing And Google Cloud

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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.

Getting Started With Google Cloud Platform Livelessons

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Author : Chad Smith
language : en
Publisher:
Release Date : 2018

Getting Started With Google Cloud Platform Livelessons written by Chad Smith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.

2+ Hours of Video Instruction Two and a half hours of video instruction introducing cloud concepts, the Google Cloud Platform ecosystem, the GCP foundational services, and starting points for implementation. Overview Getting Started with Google Cloud Platform LiveLessons teaches the basics of Google Cloud so you can better understand this key platform. Chad Smith, a Google and AWS certified instructor, designed this course to help you make sense of the choices available in GCP by providing a foundational view of cloud infrastructure, and how it differs from its on-premise counterpart. Through the use of demos and concept walk-throughs, you will learn all about commonly used services and how they integrate with one another and with on-premise infrastructures. Migrating to the cloud can be a journey full of misinformation and assumptions. In addition, the differences between on-premise IT infrastructure and cloud infrastructure make it difficult to understand which services can be appropriate for workloads. Worldwide, cloud-first strategies are being replaced by cloud-only strategies, and for companies who haven't begun migration, the choices can be overwhelming. Topics include: Introduction to Cloud Computing Starting in GCP Security and Monitoring Foundational Services Application Development and Deployment Automation and Operations Next Steps Skill Level Beginner/Intermediate Learn How To Understand the difference between cloud and on-premise architecture Learn the starting points for GCP adoption Discover initial use cases for GCP foundational services Learn the next steps for increased adoption of GCP Chad Smith is the Principal Cloud Architect at Brightkey.cloud. He is a certified architect for both Amazon Web Services and Google Cloud Platform. He brings a wealth of relevant experience in cloud adoption, infrastructure design, data security and cloud operations. Chad holds current AWS certifications in Architecture (Associate and Professional), SysOps and Security. Who Should Take This Course Technical professionals who will be using GCP from many disciplines: IT, networking, security, development Project managers and decision-makers who will be responsible for cloud adoption Professionals who are already using cloud hosting providers such as AWS or Azure who want to compare those offerings with GCP Course Requirements Basic understanding of IT or software engineering or technology in general Lesson Descriptions Lesson 1: Introduction...

Cloud Computing For Beginners

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Author : David S Richard
language : en
Publisher: Independently Published
Release Date : 2025-07-28

Cloud Computing For Beginners written by David S Richard and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-28 with Computers categories.

Cloud Computing for Beginners: A Complete Guide to AWS, Azure, and Google Cloud in 30 Days By David S. Richard Unlock the power of the cloud and build a successful tech career-even if you're starting from scratch! This beginner-friendly guide is your one-stop resource to understanding and mastering cloud computing across the top platforms: AWS, Azure, and Google Cloud. Whether you're a student, job seeker, or IT enthusiast, this hands-on cloud computing tutorial walks you through each step of learning how the cloud works, what roles are available, and how to get started fast. Inside, you'll discover: ✅ Step-by-step instructions for setting up and using AWS for beginners ✅ A simplified Azure certification guide to help you prepare and succeed ✅ Google Cloud step-by-step walkthroughs to practice real-world deployment ✅ An introduction to cloud security best practices to keep your data safe ✅ A detailed cloud engineer roadmap for career advancement ✅ Insights into serverless computing, its benefits, and use cases ✅ How to build and deploy using modern DevOps pipeline strategies ✅ Clear examples of cloud architecture for scalable solutions ✅ Top cloud interview questions with expert tips to help you stand out By the end of this book, you'll have a strong grasp of the cloud ecosystem and be ready to move toward certification, career transition, or project execution with confidence.

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.

Google Cloud Platform In Action

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Author : John J. (JJ) Geewax
language : en
Publisher: Simon and Schuster
Release Date : 2018-08-15

Google Cloud Platform In Action written by John J. (JJ) Geewax and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-15 with Computers categories.

Summary Google Cloud Platform in Action teaches you to build and launch applications that scale, leveraging the many services on GCP to move faster than ever. You'll learn how to choose exactly the services that best suit your needs, and you'll be able to build applications that run on Google Cloud Platform and start more quickly, suffer fewer disasters, and require less maintenance. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Thousands of developers worldwide trust Google Cloud Platform, and for good reason. With GCP, you can host your applications on the same infrastructure that powers Search, Maps, and the other Google tools you use daily. You get rock-solid reliability, an incredible array of prebuilt services, and a cost-effective, pay-only-for-what-you-use model. This book gets you started. About the Book Google Cloud Platform in Action teaches you how to deploy scalable cloud applications on GCP. Author and Google software engineer JJ Geewax is your guide as you try everything from hosting a simple WordPress web app to commanding cloud-based AI services for computer vision and natural language processing. Along the way, you'll discover how to maximize cloud-based data storage, roll out serverless applications with Cloud Functions, and manage containers with Kubernetes. Broad, deep, and complete, this authoritative book has everything you need. What's inside The many varieties of cloud storage and computing How to make cost-effective choices Hands-on code examples Cloud-based machine learning About the Reader Written for intermediate developers. No prior cloud or GCP experience required. About the Author JJ Geewax is a software engineer at Google, focusing on Google Cloud Platform and API design. Table of Contents PART 1 - GETTING STARTED What is "cloud"? Trying it out: deploying WordPress on Google Cloud The cloud data center PART 2 - STORAGE Cloud SQL: managed relational storage Cloud Datastore: document storage Cloud Spanner: large-scale SQL Cloud Bigtable: large-scale structured data Cloud Storage: object storage PART 3 - COMPUTING Compute Engine: virtual machines Kubernetes Engine: managed Kubernetes clusters App Engine: fully managed applications Cloud Functions: serverless applications Cloud DNS: managed DNS hosting PART 4 - MACHINE LEARNING Cloud Vision: image recognition Cloud Natural Language: text analysis Cloud Speech: audio-to-text conversion Cloud Translation: multilanguage machine translation Cloud Machine Learning Engine: managed machine learning PART 5 - DATA PROCESSING AND ANALYTICS BigQuery: highly scalable data warehouse Cloud Dataflow: large-scale data processing Cloud Pub/Sub: managed event publishing

Cloud Computing In Libraries

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Author : Mayank Yuvaraj
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2020-10-12

Cloud Computing In Libraries written by Mayank Yuvaraj and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-12 with Language Arts & Disciplines categories.

Cloud computing is a model where computing resources (processors, storage, software) are offered as a utility from an indistinct location and boundaries to the user. Adoption of Cloud computing in recent years has gained momentum within various avenues round the globe due to its characteristics like elasticity, virtualization and pay-as-you-go pricing. In tune with the trend various companies have evolved which are offering web applications. These companies provide the system required to host the application to users on lease which saves them from purchasing. The book combines both theoretical and practical perspectives of cloud computing with a slant towards library and information centres. The book describes in detail about various companies which are providing cloud computing solutions and infrastructure for library and information centres. Intiatives of OCLC and best practices adopted in other libraries around the world has been discussed at length. Many avenues of the implementation of cloud computing has been identified in the present study. Various initiatives of the library professionals to move their internet sites, their integrated library system for cataloguing and acquisition, Cloud based library apps, Cloud based Stack Map and their repository systems and inter library loan systems to the cloud has been mentioned. The book further proposes a model which may serve as a blueprint for implementation of cloud computing technologies in libraries. With the timely publication of book, library and information service practitioners after going through the book can outsource the task of maintaining the computer infrastructure and focus on their mission to serve people with right information at right point of time.

Automated Machine Learning

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Author : Adnan Masood
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-02-18

Automated Machine Learning written by Adnan Masood 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 2021-02-18 with Computers categories.

Get to grips with automated machine learning and adopt a hands-on approach to AutoML implementation and associated methodologies Key FeaturesGet up to speed with AutoML using OSS, Azure, AWS, GCP, or any platform of your choiceEliminate mundane tasks in data engineering and reduce human errors in machine learning modelsFind out how you can make machine learning accessible for all users to promote decentralized processesBook Description Every machine learning engineer deals with systems that have hyperparameters, and the most basic task in automated machine learning (AutoML) is to automatically set these hyperparameters to optimize performance. The latest deep neural networks have a wide range of hyperparameters for their architecture, regularization, and optimization, which can be customized effectively to save time and effort. This book reviews the underlying techniques of automated feature engineering, model and hyperparameter tuning, gradient-based approaches, and much more. You'll discover different ways of implementing these techniques in open source tools and then learn to use enterprise tools for implementing AutoML in three major cloud service providers: Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform. As you progress, you’ll explore the features of cloud AutoML platforms by building machine learning models using AutoML. The book will also show you how to develop accurate models by automating time-consuming and repetitive tasks in the machine learning development lifecycle. By the end of this machine learning book, you’ll be able to build and deploy AutoML models that are not only accurate, but also increase productivity, allow interoperability, and minimize feature engineering tasks. What you will learnExplore AutoML fundamentals, underlying methods, and techniquesAssess AutoML aspects such as algorithm selection, auto featurization, and hyperparameter tuning in an applied scenarioFind out the difference between cloud and operations support systems (OSS)Implement AutoML in enterprise cloud to deploy ML models and pipelinesBuild explainable AutoML pipelines with transparencyUnderstand automated feature engineering and time series forecastingAutomate data science modeling tasks to implement ML solutions easily and focus on more complex problemsWho this book is for Citizen data scientists, machine learning developers, artificial intelligence enthusiasts, or anyone looking to automatically build machine learning models using the features offered by open source tools, Microsoft Azure Machine Learning, AWS, and Google Cloud Platform will find this book useful. Beginner-level knowledge of building ML models is required to get the best out of this book. Prior experience in using Enterprise cloud is beneficial.

Effortless Cloud Native App Development Using Skaffold

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Author : Ashish Choudhary
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-10-15

Effortless Cloud Native App Development Using Skaffold written by Ashish Choudhary 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 2021-10-15 with Computers categories.

A practical guide to solving inner development loop problems in cloud-native applications by automating build, push, and deploy boilerplate using Skaffold Key FeaturesLearn how to build and deploy cloud-native applications quickly with KubernetesCreate a production-ready continuous integration and continuous delivery (CI/CD) pipeline for cloud-native appsDiscover ways to create a GitOps-style CD workflow for cloud-native applicationsBook Description Kubernetes has become the de facto standard for container orchestration, drastically improving how we deploy and manage cloud-native apps. Although it has simplified the lives of support professionals, we cannot say the same for developers who need to be equipped with better tools to increase productivity. An automated workflow that solves a wide variety of problems that every developer faces can make all the difference! Enter Skaffold – a command-line tool that automates the build, push, and deploy steps for Kubernetes applications. This book is divided into three parts, starting with common challenges encountered by developers in building apps with Kubernetes. The second part covers Skaffold features, its architecture, supported container image builders, and more. In the last part, you'll focus on practical implementation, learning how to deploy Spring Boot apps to cloud platforms such as Google Cloud Platform (GCP) using Skaffold. You'll also create CI/CD pipelines for your cloud-native apps with Skaffold. Although the examples covered in this book are written in Java and Spring Boot, the techniques can be applied to apps built using other technologies too. By the end of this Skaffold book, you'll develop skills that will help accelerate your inner development loop and be able to build and deploy your apps to the Kubernetes cluster with Skaffold. What you will learnOvercome challenges faced while working in an inner development loop using SkaffoldAccelerate your development workflow using SkaffoldUnderstand Skaffold's architecture, internal working, and supported CLI commandsBuild and deploy containers to Kubernetes using the Skaffold CLI and Cloud CodeDeploy Spring Boot applications to fully managed Kubernetes services such as Google Kubernetes Engine using SkaffoldExplore best practices for developing an app with SkaffoldAvoid common pitfalls when developing cloud-native apps with Skaffold in KubernetesWho this book is for Cloud-native application developers, software engineers working with Kubernetes, and DevOps professionals who are looking for a solution to simplify and improve their software development life cycle will find this book useful. Beginner-level knowledge of Docker, Kubernetes, and the container ecosystem is required to get started with this book.

Google Cloud Ai Services Quick Start Guide

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Author : Arvind Ravulavaru
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-05-30

Google Cloud Ai Services Quick Start Guide written by Arvind Ravulavaru 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 2018-05-30 with Computers categories.

Leverage the power of various Google Cloud AI Services by building a smart web application using MEAN Stack Key Features Start working with the Google Cloud Platform and the AI services it offers Build smart web applications by combining the power of Google Cloud AI services and the MEAN stack Build a web-based dashboard of smart applications that perform language processing, translation, and computer vision on the cloud Book Description Cognitive services are the new way of adding intelligence to applications and services. Now we can use Artificial Intelligence as a service that can be consumed by any application or other service, to add smartness and make the end result more practical and useful. Google Cloud AI enables you to consume Artificial Intelligence within your applications, from a REST API. Text, video and speech analysis are among the powerful machine learning features that can be used. This book is the easiest way to get started with the Google Cloud AI services suite and open up the world of smarter applications. This book will help you build a Smart Exchange, a forum application that will let you upload videos, images and perform text to speech conversions and translation services. You will use the power of Google Cloud AI Services to make our simple forum application smart by validating the images, videos, and text provided by users to Google Cloud AI Services and make sure the content which is uploaded follows the forum standards, without a human curator involvement. You will learn how to work with the Vision API, Video Intelligence API, Speech Recognition API, Cloud Language Process, and Cloud Translation API services to make your application smarter. By the end of this book, you will have a strong understanding of working with Google Cloud AI Services, and be well on the way to building smarter applications. What you will learn Understand Google Cloud Platform and its Cloud AI services Explore the Google ML Services Work with an Angular 5 MEAN stack application Integrate Vision API, Video Intelligence API for computer vision Be ready for conversational experiences with the Speech Recognition API, Cloud Language Process and Cloud Translation API services Build a smart web application that uses the power of Google Cloud AI services to make apps smarter Who this book is for This book is ideal for data professionals and web developers who want to use the power of Google Cloud AI services in their projects, without the going through the pain of mastering machine learning for images, videos and text. Some familiarity with the Google Cloud Platform will be helpful.

Hands On Google Cloud Sql And Cloud Spanner

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Author : Navin Sabharwal
language : en
Publisher: Apress
Release Date : 2019-12-19

Hands On Google Cloud Sql And Cloud Spanner written by Navin Sabharwal and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-19 with Computers categories.

Discover the methodologies and best practices for getting started with Google Cloud Platform relational services – CloudSQL and CloudSpanner. The book begins with the basics of working with the Google Cloud Platform along with an introduction to the database technologies available for developers from Google Cloud. You'll then take an in-depth hands on journey into Google CloudSQL and CloudSpanner, including choosing the right platform for your application needs, planning, provisioning, designing and developing your application. Sample applications are given that use Python to connect to CloudSQL and CloudSpanner, along with helpful features provided by the engines. You''ll also implement practical best practices in the last chapter. Hands On Google Cloud SQL and Cloud Spanner is a great starting point to apply GCP data offerings in your technology stack and the code used allows you to try out the examples and extend them in interesting ways. What You'll Learn Get started with Big Data technologies on the Google Cloud Platform Review CloudSQL and Cloud Spanner from basics to administration Apply best practices and use Google’s CloudSQL and CloudSpanner offering Work with code in Python notebooks and scripts Who This Book Is For Application architects, database architects, software developers, data engineers, cloud architects.