Scaling Google Cloud Platform

Download Scaling Google Cloud Platform full books in PDF, epub, and Kindle. Read online Scaling Google Cloud Platform ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Scaling Google Cloud Platform

Author : Swapnil Dubey
Publisher : BPB Publications
ISBN 13 : 9355512848
Total Pages : 368 pages
Book Rating : 4.3/5 (555 download)

DOWNLOAD NOW!

Book Synopsis Scaling Google Cloud Platform by : Swapnil Dubey

Download or read book Scaling Google Cloud Platform written by Swapnil Dubey and published by BPB Publications. This book was released on 2022-10-29 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing Real-world Production-grade Challenges at Scale KEY FEATURES ● Built for GCP professionals and Cloud enthusiasts with cloud-agnostic tactics. ● Exhaustive coverage of automatic, manual, and predictive scaling and specialized strategies. ● Every concept is pragmatized with real-time production scenarios derived from prominent technologists. DESCRIPTION ‘Scaling Google Cloud Platform’ equips developers with the know-how to get the most out of its services in storage, serverless computing, networking, infrastructure monitoring, and other IT tasks. This book explains the fundamentals of cloud scaling, including Cloud Elasticity, creating cloud workloads, and selecting the appropriate cloud scaling key performance indicators (KPIs). The book explains the sections of GCP resources that can be scaled, as well as their architecture and internals, and best practices for using these components in an operational setting in detail. The book also discusses scaling techniques such as predictive scaling, auto-scaling, and manual scaling. This book includes real-world examples illustrating how to scale many Google Cloud services, including the compute engine, GKE, VMWare Engine, Cloud Function, Cloud Run, App Engine, BigTable, Spanner, Composer, Dataproc, and Dataflow. At the end of the book, the author delves into the two most common architectures—Microservices and Bigdata to examine how you can perform reliability engineering for them on GCP. WHAT YOU WILL LEARN ● Learn workload migration strategy and execution, both within and between clouds. ● Explore methods of increasing Google Cloud capacity for running VMware Engine and containerized applications. ● Scaling up and down methods include manual, predictive, and automatic approaches. ● Increase the capacity of your Dataproc cluster to handle your big data computing needs. ● Learn Google Dataflow's scalability considerations for large-scale installations. ● Explore Google Composer 2 and scale up your Cloud Spanner instances. ● Learn to set up Cloud functions and Cloud run. ● Discuss general SRE procedures on microservices and big data. WHO THIS BOOK IS FOR This book is designed for Cloud professionals, software developers, architects, DevOps team, and engineering managers to explain scaling strategies for GCP services and assumes readers know GCP basics. TABLE OF CONTENTS 1. Basics of Scaling Cloud Resources 2. KPI for Cloud Scalability 3. Cloud Elasticity 4. Challenges of Infrastructure Complexity and the Way Forward 5. Scaling Compute Engine 6. Scaling Kubernetes Engine 7. Scaling VMware Engine 8. Scaling App Engine 9. Scaling Google Cloud Function and Cloud Run 10. Configuring Bigtable for Scale 11. Configuring Cloud Spanner for Scale 12. Scaling Google Composer 2 13. Scaling Google Dataproc 14. Scaling Google Dataflow 15. Site Reliability Engineering 16. SRE Use Cases

Google Cloud Platform in Action

Author : John J. (JJ) Geewax
Publisher : Simon and Schuster
ISBN 13 : 1638355908
Total Pages : 920 pages
Book Rating : 4.6/5 (383 download)

DOWNLOAD NOW!

Book Synopsis Google Cloud Platform in Action by : John J. (JJ) Geewax

Download or read book Google Cloud Platform in Action written by John J. (JJ) Geewax and published by Simon and Schuster. This book was released on 2018-08-15 with total page 920 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Google Cloud Platform an Architect's Guide

Author : Alasdair Gilchrist
Publisher : Alasdair Gilchrist
ISBN 13 :
Total Pages : 607 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis Google Cloud Platform an Architect's Guide by : Alasdair Gilchrist

Download or read book Google Cloud Platform an Architect's Guide written by Alasdair Gilchrist and published by Alasdair Gilchrist. This book was released on with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn fundamental to advanced GCP architectural techniques using 30 + real-world use cases. The 'Google Cloud Platform an Architect's Guide' is a comprehensive handbook that covers everything that you need to know from GCP fundamentals to advanced cloud architecture topics. The book covers what you need to understand to pass the Google certification exams but goes far further and deeper as it explores real-world use cases and business scenarios. But you don't need to be an IT expert as the book is designed to cater for both beginners and those experienced in other cloud or on other on-premises networks. To that end, the book is split into distinct parts that caters for all levels of expertise. Part -1 is aimed at the novice someone new to a cloud architecture environment that needs to become familiar with the fundamentals of cloud architecture and industry best practices so the more experienced reader may wish to skip this section. Part-2 takes a far deeper dive into GCP theory and practice as well as providing real-world use cases and practical tips that are beneficial for architects at all levels. Part-3 delves much deeper into GCP practical theory on elasticity, scalability and resilience. It also covers Kubernetes in greater detail and touches on High-Performance Computing and IoT designs. The book closes with a final part dealing with cloud-native design practices and as such it covers design, monitoring, notification and remediation techniques to ensure best practice in cloud-native application design, deployment, stabilisation and commissioning.

Google Cloud Platform for Developers

Author : Ted Hunter
Publisher : Packt Publishing Ltd
ISBN 13 : 1788830830
Total Pages : 496 pages
Book Rating : 4.7/5 (888 download)

DOWNLOAD NOW!

Book Synopsis Google Cloud Platform for Developers by : Ted Hunter

Download or read book Google Cloud Platform for Developers written by Ted Hunter and published by Packt Publishing Ltd. This book was released on 2018-07-30 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop, deploy, and scale your applications with Google Cloud Platform Key Features Create and deploy your applications on Google Cloud Platform Store and manage source code and debug Cloud-hosted apps with plugins and IDEs Streamline developer workflows with tools for alerting and managing deployments Book Description Google Cloud Platform (GCP) provides autoscaling compute power and distributed in-memory cache, task queues, and datastores to write, build, and deploy Cloud-hosted applications. With Google Cloud Platform for Developers, you will be able to develop and deploy scalable applications from scratch and make them globally available in almost any language. This book will guide you in designing, deploying, and managing applications running on Google Cloud. You’ll start with App Engine and move on to work with Container Engine, compute engine, and cloud functions. You’ll learn how to integrate your new applications with the various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. This book will teach you how to streamline your workflow with tools such as Source Repositories, Container Builder, and StackDriver. Along the way, you’ll see how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerting for your production systems. By the end of this book, you’ll be well-versed with all the development tools of Google Cloud Platform, and you’ll develop, deploy, and manage highly scalable and reliable applications. What you will learn Understand the various service offerings on GCP Deploy and run services on managed platforms such as App Engine and Container Engine Securely maintain application states with Cloud Storage, Datastore, and Bigtable Leverage StackDriver monitoring and debugging to minimize downtime and mitigate issues without impacting users Design and implement complex software solutions utilizing Google Cloud Integrate with best-in-class big data solutions such as Bigquery, Dataflow, and Pub/Sub Who this book is for Google Cloud Platform for Developers is for application developers. This book will enable you to fully leverage the power of Google Cloud Platform to build resilient and intelligent software solutions.

Google Cloud Platform All-In-One Guide

Author : Praveen Kukreti
Publisher : BPB Publications
ISBN 13 : 9355513321
Total Pages : 298 pages
Book Rating : 4.3/5 (555 download)

DOWNLOAD NOW!

Book Synopsis Google Cloud Platform All-In-One Guide by : Praveen Kukreti

Download or read book Google Cloud Platform All-In-One Guide written by Praveen Kukreti and published by BPB Publications. This book was released on 2023-01-16 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the Essential Concepts, Tools, and Services in GCP KEY FEATURES ● Build a solid foundation of the Google Cloud Platform. ● Work with different AI and Machine Learning services offered by Google Cloud. ● Learn how to use Google cloud services to build scalable apps. DESCRIPTION Google Cloud platform has a suite of cloud computing services for developing and maintaining software. It includes products like Google Compute Engine, Google App Engine, Google Cloud Storage, and Google Container Engine. With so much to offer, we will learn how to manage services running on Google Cloud. ‘Google Cloud Platform All-In-One Guide’ is primarily for everyone who wants to get familiar with the comprehensive list of services in GCP. You will work with various cloud-based services in computing, storage, database, and networking domains. You will understand how Big Data services can be used for developing end-to-end ETL/ELT pipelines. Lastly, you will explore various APIs available in Google cloud. The book ends with a chapter on best practices that will help you maximize resource utilization and cost optimization. By the end of the book, you will be able to design, develop, and deploy apps in GCP. WHAT YOU WILL LEARN ● Explore and work with security and monitoring services in Google Cloud. ● Learn how to build an ETL Pipeline in the Google Cloud Platform. ● Build and deploy code-based custom models using Vertex AI and Jupyter notebook. ● Learn how to create workflows using GCP services. ● Get an overview of best practices for securely deploying your workloads on Google Cloud. WHO THIS BOOK IS FOR This book is for everyone new to cloud computing or Google cloud. Cloud professionals who are looking to migrate their services to the Google cloud platform will find this book helpful. TABLE OF CONTENTS 1. Cloud Computing Fundamentals 2. Compute in Google Cloud 3. Storage in Google Cloud 4. Database Services in Google Cloud 5. Networking in Google Cloud 6. Security and Monitoring Services in Google Cloud 7. Big Data in Google Cloud 8. AI/ML in Google Cloud 9. Orchestration Services in GCP 10. Migration Services in GCP 11. Best Practices 12. Bonus Chapter 13. Use Cases

Data Science on the Google Cloud Platform

Author : Valliappa Lakshmanan
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098118928
Total Pages : 462 pages
Book Rating : 4.0/5 (981 download)

DOWNLOAD NOW!

Book Synopsis Data Science on the Google Cloud Platform by : Valliappa Lakshmanan

Download or read book Data Science on the Google Cloud Platform written by Valliappa Lakshmanan and published by "O'Reilly Media, Inc.". This book was released on 2022-03-29 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP. Throughout this updated second edition, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by building a data pipeline in your own project on GCP, and discover how to solve data science problems in a transformative and more collaborative way. You'll learn how to: Employ best practices in building highly scalable data and ML pipelines on Google Cloud Automate and schedule data ingest using Cloud Run Create and populate a dashboard in Data Studio Build a real-time analytics pipeline using Pub/Sub, Dataflow, and BigQuery Conduct interactive data exploration with BigQuery Create a Bayesian model with Spark on Cloud Dataproc Forecast time series and do anomaly detection with BigQuery ML Aggregate within time windows with Dataflow Train explainable machine learning models with Vertex AI Operationalize ML with Vertex AI Pipelines

Google Cloud Platform for Data Engineering

Author : Alasdair Gilchrist
Publisher : Alasdair Gilchrist
ISBN 13 :
Total Pages : 357 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis Google Cloud Platform for Data Engineering by : Alasdair Gilchrist

Download or read book Google Cloud Platform for Data Engineering written by Alasdair Gilchrist and published by Alasdair Gilchrist. This book was released on with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Google Cloud Platform for Data Engineering is designed to take the beginner through a journey to become a competent and certified GCP data engineer. The book, therefore, is split into three parts; the first part covers fundamental concepts of data engineering and data analysis from a platform and technology-neutral perspective. Reading part 1 will bring a beginner up to speed with the generic concepts, terms and technologies we use in data engineering. The second part, which is a high-level but comprehensive introduction to all the concepts, components, tools and services available to us within the Google Cloud Platform. Completing this section will provide the beginner to GCP and data engineering with a solid foundation on the architecture and capabilities of the GCP. Part 3, however, is where we delve into the moderate to advanced techniques that data engineers need to know and be able to carry out. By this time the raw beginner you started the journey at the beginning of part 1 will be a knowledgable albeit inexperienced data engineer. However, by the conclusion of part 3, they will have gained the advanced knowledge of data engineering techniques and practices on the GCP to pass not only the certification exam but also most interviews and practical tests with confidence. In short part 3, will provide the prospective data engineer with detailed knowledge on setting up and configuring DataProc - GCPs version of the Spark/Hadoop ecosystem for big data. They will also learn how to build and test streaming and batch data pipelines using pub/sub/ dataFlow and BigQuery. Furthermore, they will learn how to integrate all the ML and AI Platform components and APIs. They will be accomplished in connecting data analysis and visualisation tools such as Datalab, DataStudio and AI notebooks amongst others. They will also by now know how to build and train a TensorFlow DNN using APIs and Keras and optimise it to run large public data sets. Also, they will know how to provision and use Kubeflow and Kube Pipelines within Google Kubernetes engines to run container workloads as well as how to take advantage of serverless technologies such as Cloud Run and Cloud Functions to build transparent and seamless data processing platforms. The best part of the book though is its compartmental design which means that anyone from a beginner to an intermediate can join the book at whatever point they feel comfortable.

Google Cloud Platform for Developers

Author : Ted Hunter
Publisher : Packt Publishing Ltd
ISBN 13 : 1788830830
Total Pages : 496 pages
Book Rating : 4.7/5 (888 download)

DOWNLOAD NOW!

Book Synopsis Google Cloud Platform for Developers by : Ted Hunter

Data Analytics with Google Cloud Platform

Author : Murari Ramuka
Publisher : BPB Publications
ISBN 13 : 9389423635
Total Pages : 277 pages
Book Rating : 4.3/5 (894 download)

DOWNLOAD NOW!

Book Synopsis Data Analytics with Google Cloud Platform by : Murari Ramuka

Download or read book Data Analytics with Google Cloud Platform written by Murari Ramuka and published by BPB Publications. This book was released on 2019-12-16 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Step-by-step guide to different data movement and processing techniques, using Google Cloud Platform Services DESCRIPTION Modern businesses are awash with data, making data-driven decision-making tasks increasingly complex. As a result, relevant technical expertise and analytical skills are required to do such tasks. This book aims to equip you with enough knowledge of Cloud Computing in conjunction with Google Cloud Data platform to succeed in the role of a Cloud data expert. The current market is trending towards the latest cloud technologies, which is the need of the hour. Google being the pioneer, is dominating this space with the right set of cloud services being offered as part of GCP (Google Cloud Platform). At this juncture, this book will be very vital and will cover all the services that are being offered by GCP, putting emphasis on Data services. This book starts with sophisticated knowledge on Cloud Computing. It also explains different types of data services/technology and machine learning algorithm/Pre-Trained API through real-business problems, which are built on the Google Cloud Platform (GCP). With some of the latest business examples and hands-on guide, this book will enable the developers entering the data analytics fields to implement an end-to-end data pipeline, using GCP Data services. Through the course of the book, you will come across multiple industry-wise use cases, like Building Datawarehouse using Big Query, a sample real-time data analytics solution on machine learning and Artificial Intelligence that helped with the business decision, by employing a variety of data science approaches on Google Cloud environment. Whether yourÊbusinessÊis at the early stage of cloud implementation in its journey or well on its way to digital transformation,ÊGoogle Cloud'sÊsolutions and technologies will always help chart a path to success. This book can be used to develop the GCP concepts in an easy way. It contains many examples showcasing the implementation of a GCP service. It enables the learning of the basic and advance concepts of Google Cloud Data Platform. This book is divided into 7 chapters and provides a detailed description of the core concepts of each of the Data services offered by Google Cloud. KEY FEATURES Learn the basic concept of Cloud Computing along with different Cloud service provides with their supported Models (IaaS/PaaS/SaaS) Learn the basics of Compute Engine, App Engine, Container Engine, Project and Billing setup in the Google Cloud Platform Learn how and when to use Cloud DataFlow, Cloud DataProc and Cloud DataPrepÊ Build real-time data pipeline to support real-time analytics using Pub/Sub messaging service Setting up a fully managed GCP Big Data Cluster using Cloud DataProc for runningÊApache SparkÊandÊApache HadoopÊclusters in a simpler, more cost-efficient manner Learn how to use Cloud Data Studio for visualizing the data on top of Big Query Implement and understand real-world business scenarios for Machine Learning, Data Pipeline Engineering WHAT WILL YOU LEARN By the end of the book, you will have come across different data services and platforms offered by Google Cloud, and how those services/features can be enabled to serve business needs. You will also see a few case studies to put your knowledge to practice and solve business problems such as building a real-time streaming pipeline engine, Scalable Data Warehouse on Cloud, fully managed Hadoop cluster on Cloud and enabling TensorFlow/Machine Learning APIÕs to support real-life business problems. Remember to practice additional examples to master these techniques. WHO IS THIS BOOK FOR This book is for professionals as well as graduates who want to build a career in Google Cloud data analytics technologies. While no prior knowledge of Cloud Computing or related technologies is assumed, it will be helpful to have some data background and experience. One stop shop for those who wish to get an initial to advance understanding of the GCP data platform. The target audience will be data engineers/professionals who are new, as well as those who are acquainted with the tools and techniques related to cloud and data space.ÊÊ _Ê Ê Ê Individuals who have basic data understanding (i.e. Data and cloud) and have done some work in the field ofÊ data analytics, can refer/use this book to master their knowledge/understanding. _Ê Ê Ê The highlight of this book is that it will start with theÊ basic cloud computing fundamentals and will move on to cover the advance concepts on GCP cloud data analytics and hence can be referred across multiple different levels of audiences.Ê Table of Contents 1. GCP Overview and Architecture 2. Data Storage in GCPÊ 3. Data Processing in GCP with Pub/Sub and DataflowÊ 4. Data Processing in GCP with DataPrep and Dataflow 5. Big Query and Data Studio 6. Machine Learning with GCP 7. Sample Use cases and Examples

Building Google Cloud Platform Solutions

Author : Ted Hunter
Publisher : Packt Publishing Ltd
ISBN 13 : 1838648704
Total Pages : 763 pages
Book Rating : 4.8/5 (386 download)

DOWNLOAD NOW!

Book Synopsis Building Google Cloud Platform Solutions by : Ted Hunter

Download or read book Building Google Cloud Platform Solutions written by Ted Hunter and published by Packt Publishing Ltd. This book was released on 2019-03-26 with total page 763 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Mastering Google Cloud Platform

Author : Cybellium Ltd
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 193 pages
Book Rating : 4.8/5 (591 download)

DOWNLOAD NOW!

Book Synopsis Mastering Google Cloud Platform by : Cybellium Ltd

Download or read book Mastering Google Cloud Platform written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-06 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.

Google Compute Engine

Author : Marc Cohen
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449361498
Total Pages : 246 pages
Book Rating : 4.4/5 (493 download)

DOWNLOAD NOW!

Book Synopsis Google Compute Engine by : Marc Cohen

Download or read book Google Compute Engine written by Marc Cohen and published by "O'Reilly Media, Inc.". This book was released on 2014-12-15 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Google Cloud Platform for Architects

Author : Vitthal Srinivasan
Publisher : Packt Publishing Ltd
ISBN 13 : 1788833074
Total Pages : 355 pages
Book Rating : 4.7/5 (888 download)

DOWNLOAD NOW!

Book Synopsis Google Cloud Platform for Architects by : Vitthal Srinivasan

Download or read book Google Cloud Platform for Architects written by Vitthal Srinivasan and published by Packt Publishing Ltd. This book was released on 2018-06-26 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get acquainted with GCP and manage robust, highly available, and dynamic solutions to drive business objective Key Features Identify the strengths, weaknesses and ideal use-cases for individual services offered on the Google Cloud Platform Make intelligent choices about which cloud technology works best for your use-case Leverage Google Cloud Platform to analyze and optimize technical and business processes Book Description Using a public cloud platform was considered risky a decade ago, and unconventional even just a few years ago. Today, however, use of the public cloud is completely mainstream - the norm, rather than the exception. Several leading technology firms, including Google, have built sophisticated cloud platforms, and are locked in a fierce competition for market share. The main goal of this book is to enable you to get the best out of the GCP, and to use it with confidence and competence. You will learn why cloud architectures take the forms that they do, and this will help you become a skilled high-level cloud architect. You will also learn how individual cloud services are configured and used, so that you are never intimidated at having to build it yourself. You will also learn the right way and the right situation in which to use the important GCP services. By the end of this book, you will be able to make the most out of Google Cloud Platform design. What you will learn Set up GCP account and utilize GCP services using the cloud shell, web console, and client APIs Harness the power of App Engine, Compute Engine, Containers on the Kubernetes Engine, and Cloud Functions Pick the right managed service for your data needs, choosing intelligently between Datastore, BigTable, and BigQuery Migrate existing Hadoop, Spark, and Pig workloads with minimal disruption to your existing data infrastructure, by using Dataproc intelligently Derive insights about the health, performance, and availability of cloud-powered applications with the help of monitoring, logging, and diagnostic tools in Stackdriver Who this book is for If you are a Cloud architect who is responsible to design and manage robust cloud solutions with Google Cloud Platform, then this book is for you. System engineers and Enterprise architects will also find this book useful. A basic understanding of distributed applications would be helpful, although not strictly necessary. Some working experience on other public cloud platforms would help too.

Cloud Analytics with Google Cloud Platform

Author : Sanket Thodge
Publisher : Packt Publishing Ltd
ISBN 13 : 1788838599
Total Pages : 273 pages
Book Rating : 4.7/5 (888 download)

DOWNLOAD NOW!

Book Synopsis Cloud Analytics with Google Cloud Platform by : Sanket Thodge

Download or read book Cloud Analytics with Google Cloud Platform written by Sanket Thodge and published by Packt Publishing Ltd. This book was released on 2018-04-10 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Pass the Professional Google Cloud Architect Exam in 20 Days

Author : Muskan Sandhu
Publisher : Muskan Sandhu
ISBN 13 :
Total Pages : 204 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis Pass the Professional Google Cloud Architect Exam in 20 Days by : Muskan Sandhu

Download or read book Pass the Professional Google Cloud Architect Exam in 20 Days written by Muskan Sandhu and published by Muskan Sandhu. This book was released on 2024-03-26 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Land Your Dream Cloud Job: Pass the Professional Google Cloud Architect Exam in 20 Days (Even with No Prior Experience) Fast-track your cloud career with this comprehensive guide to acing the Professional Google Cloud Architect exam in just 20 days. Whether you're a seasoned IT pro or just starting out, this book offers a proven 20-day plan with: Step-by-step explanations of core GCP services (infrastructure, data storage, networking, security, and more) Practical exercises to solidify your understanding Insider tips and best practices from Google Cloud experts Mock exams to test your knowledge and build confidence Bonus section: Craft a winning resume and ace your job interview Don't wait! Get certified, unlock new opportunities, and take your career to the next level. Buy now and start your journey today!

Scaling Google Cloud Platform

Author : Swapnil Dubey
Publisher : BPB Publications
ISBN 13 : 9355512848
Total Pages : 368 pages
Book Rating : 4.3/5 (555 download)

DOWNLOAD NOW!

Book Synopsis Scaling Google Cloud Platform by : Swapnil Dubey

Cloud Native Apps on Google Cloud Platform

Author : Alasdair Gilchrist
Publisher : BPB Publications
ISBN 13 : 935551123X
Total Pages : 431 pages
Book Rating : 4.3/5 (555 download)

DOWNLOAD NOW!

Book Synopsis Cloud Native Apps on Google Cloud Platform by : Alasdair Gilchrist

Download or read book Cloud Native Apps on Google Cloud Platform written by Alasdair Gilchrist and published by BPB Publications. This book was released on 2022-04-13 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: Step-by-step guide for developing cloud native apps on GCP powered by hands-on interactive learning KEY FEATURES ● Cutting-edge coverage on Google Cloud Build, Cloud Run, GKE, Kubectl and Anthos. ● Includes tutorials and exercises to learn designing, deploying and running cloud native apps. ● Covers Service Mesh, Apps Optimization, logs monitoring and cloud IAM access. DESCRIPTION The book “Cloud Native Apps on Google Cloud Platform” teaches the readers how to design, construct, and maintain successful cloud-native apps using the Google Cloud Platform. With interactive tutorials, the book reinforces learning and helps to develop practical skills for working in an Agile and DevOps context. The book provides a step-by-step approach to building and managing cloud-native applications on Google Cloud Platform for Google Cloud Users, DevOps teams, and Cloud-Native Developers. First, you will investigate the advantages and applicability of each Google Serverless Computing option. You'll learn about Cloud Build and how to use it to prepare code files, create microservices, and build container images. The book walks readers through creating and running Docker image containers on Cloud Run and App Engine. You'll learn how to use kubectl to create and manage Kubernetes clusters, as well as how to configure the autoscaler for increased resilience and availability. You'll build a pipeline that uses Cloud Build to automate CI/CD and Pub/Sub to ingest streaming data. Finally, you'll have the opportunity to learn about Anthos, which enables you to manage massive GKE clusters in both Cloud and on-premises environments. WHAT YOU WILL LEARN ● Distinguish between using containers or microservices for cloud native apps. ● Build a streaming data pipeline using BigQuery and Dataflow using Pub/Sub. ● Practice to deploy and optimize cloud native applications on Kubernetes Engine. ● Build continuous integration/continuous delivery pipelines and improve Kubernetes apps. ● Learn to protect apps running on GCP from cyberattacks. WHO THIS BOOK IS FOR This book is meant for the Cloud and DevOps professionals and for those who wish to learn about Google Cloud services and incorporate them into end-to-end cloud applications. TABLE OF CONTENTS 1. Introducing Cloud Native Apps 2. Developing Cloud Native Apps with Cloud Shell 3. Preparing Source-Code with Cloud Build 4. Create and Deploy Microservices 5. Building and Deploying Containers in Cloud Build 6. Create a Serverless Pipeline with Pub/Sub, Dataflow and BigQuery 7. Container Orchestration with Google Kubernetes Engine 8. Deploying and Managing Kubernetes Applications 9. Optimizing Kubernetes Cluster and Apps in GKE 10. Deploying a CI/CD Pipeline with Kubernetes and Cloud Build 11. Build a Software Delivery Platform with Anthos 12. Application Management with Anthos 13. Securing Cloud Native Apps in Anthos