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Author: Navveen Balani
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
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.
Author: Navveen Balani
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
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.
Author: Chad Smith
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
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...
Author: Legorie Rajan PS
Publisher: Packt Publishing Ltd
ISBN: 1788294564
Category : Computers
Languages : en
Pages : 274
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Book Description
Practical recipes to implement cost-effective and scalable cloud solutions for your organization Key Features Implement Google Cloud services in your organization Leverage Google Cloud components to secure your organization’s data A recipe-based guide that promises hands-on experience in deploying a highly scalable and available environment Book Description Google Cloud Platform is a cloud computing platform that offers products and services to host applications using state-of-the art infrastructure and technology. You can build and host applications and websites, store data, and analyze data on Google's scalable infrastructure. This book follows a recipe-based approach, giving you hands-on experience to make the most of Google Cloud services. This book starts with practical recipes that explain how to utilize Google Cloud's common services. Then, you'll see how to make full use of Google Cloud components such as networking, security, management, and developer tools. Next, we'll deep dive into implementing core Google Cloud services into your organization, with practical recipes on App Engine, Compute Engine microservices with Cloud Functions, virtual networks, and Cloud Storage. Later, we'll provide recipes on implementing authentication and security, Cloud APIs, command-line management, deployment management, and the Cloud SDK. Finally, we'll cover administration troubleshooting tasks with the Compute and Container Engines and we'll show how to monitor your organization's efficiency with best practices. By the end of this book, you'll have a complete understanding of how to implement Google Cloud services in your organization with ease. What you will learn Host a Python application on Google Compute Engine Host an application using Google Cloud Functions Migrate a MySQL DB to Cloud Spanner Configure a network for a highly available application on GCP Learn simple image processing using Storage and Cloud Functions Automate security checks using Policy Scanner Understand tools for monitoring a production environment in GCP Learn to manage multiple projects using service accounts Who this book is for This book is for IT professionals, engineers, and developers looking at implementing Google Cloud in their organizations. Administrators and architects planning to make their organization more efficient with Google Cloud will also find this book useful. Basic understanding of Cloud services and the Google Cloud platform is necessary.
Author: Arvind Ravulavaru
Publisher: Packt Publishing Ltd
ISBN: 1788996534
Category : Computers
Languages : en
Pages : 228
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Book Description
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.
Author: Sanket Thodge
Publisher: Packt Publishing Ltd
ISBN: 1788838599
Category : Computers
Languages : en
Pages : 273
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Book Description
Combine the power of analytics and cloud computing for faster and efficient insights Key Features Master the concept of analytics on the cloud: and how organizations are using it Learn the design considerations and while applying a cloud analytics solution Design an end-to-end analytics pipeline on the cloud Book Description With the ongoing data explosion, more and more organizations all over the world are slowly migrating their infrastructure to the cloud. These cloud platforms also provide their distinct analytics services to help you get faster insights from your data. This book will give you an introduction to the concept of analytics on the cloud, and the different cloud services popularly used for processing and analyzing data. If you’re planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations to be kept in mind, and choose the best tools and alternatives for analytics, based on your requirements. The chapters in this book will take you through the 70+ services available in Google Cloud Platform and their implementation for practical purposes. From ingestion to processing your data, this book contains best practices on building an end-to-end analytics pipeline on the cloud by leveraging popular concepts such as machine learning and deep learning. By the end of this book, you will have a better understanding of cloud analytics as a concept as well as a practical know-how of its implementation What you will learn Explore the basics of cloud analytics and the major cloud solutions Learn how organizations are using cloud analytics to improve the ROI Explore the design considerations while adopting cloud services Work with the ingestion and storage tools of GCP such as Cloud Pub/Sub Process your data with tools such as Cloud Dataproc, BigQuery, etc Over 70 GCP tools to build an analytics engine for cloud analytics Implement machine learning and other AI techniques on GCP Who this book is for This book is targeted at CIOs, CTOs, and even analytics professionals looking for various alternatives to implement their analytics pipeline on the cloud. Data professionals looking to get started with cloud-based analytics will also find this book useful. Some basic exposure to cloud platforms such as GCP will be helpful, but not mandatory.
Author: Ted Hunter
Publisher: Packt Publishing Ltd
ISBN: 1838648704
Category : Computers
Languages : en
Pages : 763
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Book Description
Build cost-effective and robust cloud solutions with Google Cloud Platform (GCP) using these simple and practical recipes Key FeaturesExplore the various service offerings of the GCPHost a Python application on Google Compute EngineSecurely maintain application states with Cloud Storage, Datastore, and BigtableBook Description GCP is a cloud computing platform with a wide range of products and services that enable you to build and deploy cloud-hosted applications. This Learning Path will guide you in using GCP and designing, deploying, and managing applications on Google Cloud. You will get started by learning how to use App Engine to access Google's scalable hosting and build software that runs on this framework. With the help of Google Compute Engine, you’ll be able to host your workload on virtual machine instances. The later chapters will help you to explore ways to implement authentication and security, Cloud APIs, and command-line and deployment management. As you hone your skills, you’ll understand how to integrate your new applications with various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. Following this, the book will teach you how to streamline your workflow with tools, including Source Repositories, Container Builder, and Stackdriver. You'll also understand how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerts for your production systems. By the end of this Learning Path, you'll be well versed with GCP’s development tools and be able to develop, deploy, and manage highly scalable and reliable applications. This Learning Path includes content from the following Packt products: Google Cloud Platform for Developers Ted Hunter and Steven PorterGoogle Cloud Platform Cookbook by Legorie Rajan PSWhat you will learnHost an application using Google Cloud FunctionsMigrate a MySQL database to Cloud SpannerConfigure a network for a highly available application on GCPLearn simple image processing using Storage and Cloud FunctionsAutomate security checks using Policy ScannerDeploy and run services on App Engine and Container EngineMinimize downtime and mitigate issues with Stackdriver Monitoring and DebuggerIntegrate with big data solutions, including BigQuery, Dataflow, and Pub/SubWho this book is for This Learning Path is for IT professionals, engineers, and developers who want to implement Google Cloud in their organizations. Administrators and architects planning to make their organization more efficient with Google Cloud will also find this Learning Path useful. Basic understanding of GCP and its services is a must.
Author: John J. (JJ) Geewax
Publisher: Simon and Schuster
ISBN: 1638355908
Category : Computers
Languages : en
Pages : 920
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Book Description
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
Author: Marc Cohen
Publisher: "O'Reilly Media, Inc."
ISBN: 1449361498
Category : Computers
Languages : en
Pages : 262
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Book Description
Learn how to run large-scale, data-intensive workloads with Compute Engine, Google’s cloud platform. Written by Google engineers, this tutorial walks you through the details of this Infrastructure as a Service by showing you how to develop a project with it from beginning to end. You’ll learn best practices for using Compute Engine, with a focus on solving practical problems. With programming examples written in Python and JavaScript, you’ll also learn how to use Compute Engine with Docker containers and other platforms, frameworks, tools, and services. Discover how this IaaS helps you gain unparalleled performance and scalability with Google’s advanced storage and computing technologies. Access and manage Compute Engine resources with a web UI, command-line interface, or RESTful interface Configure, customize, and work with Linux VM instances Explore storage options: persistent disk, Cloud Storage, Cloud SQL (MySQL in the cloud), or Cloud Datastore NoSQL service Use multiple private networks, and multiple instances on each network Build, deploy, and test a simple but comprehensive cloud computing application step-by-step Use Compute Engine with Docker, Node.js, ZeroMQ, Web Starter Kit, AngularJS, WebSocket, and D3.js
Author: Navin Sabharwal
Publisher: Apress
ISBN: 1484255372
Category : Computers
Languages : en
Pages : 342
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Book Description
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 LearnGet started with Big Data technologies on the Google Cloud Platform Review CloudSQL and Cloud Spanner from basics to administrationApply best practices and use Google’s CloudSQL and CloudSpanner offeringWork with code in Python notebooks and scriptsWho This Book Is For Application architects, database architects, software developers, data engineers, cloud architects.
Author: Judith S. Hurwitz
Publisher: John Wiley & Sons
ISBN: 0470597429
Category : Computers
Languages : en
Pages : 336
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Book Description
The easy way to understand and implement cloud computing technology written by a team of experts Cloud computing can be difficult to understand at first, but the cost-saving possibilities are great and many companies are getting on board. If you've been put in charge of implementing cloud computing, this straightforward, plain-English guide clears up the confusion and helps you get your plan in place. You'll learn how cloud computing enables you to run a more green IT infrastructure, and access technology-enabled services from the Internet ("in the cloud") without having to understand, manage, or invest in the technology infrastructure that supports them. You'll also find out what you need to consider when implementing a plan, how to handle security issues, and more. Cloud computing is a way for businesses to take advantage of storage and virtual services through the Internet, saving money on infrastructure and support This book provides a clear definition of cloud computing from the utility computing standpoint and also addresses security concerns Offers practical guidance on delivering and managing cloud computing services effectively and efficiently Presents a proactive and pragmatic approach to implementing cloud computing in any organization Helps IT managers and staff understand the benefits and challenges of cloud computing, how to select a service, and what's involved in getting it up and running Highly experienced author team consults and gives presentations on emerging technologies Cloud Computing For Dummies gets straight to the point, providing the practical information you need to know.
