Author: Thomas Erl
Publisher: Pearson Education
ISBN: 0133387526
Category : Business & Economics
Languages : en
Pages : 533
Book Description
This book describes cloud computing as a service that is "highly scalable" and operates in "a resilient environment". The authors emphasize architectural layers and models - but also business and security factors.
Cloud Computing
Author: Thomas Erl
Publisher: Pearson Education
ISBN: 0133387526
Category : Business & Economics
Languages : en
Pages : 533
Book Description
This book describes cloud computing as a service that is "highly scalable" and operates in "a resilient environment". The authors emphasize architectural layers and models - but also business and security factors.
Publisher: Pearson Education
ISBN: 0133387526
Category : Business & Economics
Languages : en
Pages : 533
Book Description
This book describes cloud computing as a service that is "highly scalable" and operates in "a resilient environment". The authors emphasize architectural layers and models - but also business and security factors.
Cloud Computing
Author: Austin Young
Publisher:
ISBN: 9781086039504
Category :
Languages : en
Pages : 164
Book Description
**Get the eBook version free when you purchase the paperback version** The cloud can be regarded as services and software residing and operating on the Internet rather than on a local computer or on-premise network of servers. Cloud adoption is a strategy utilized by companies to enhance the scalability of Internet-based data base capabilities while minimizing risk and cost. To accomplish this, businesses implement cloud computing or utilize remote servers hosted on the internet to store, manage, and process data. Without a centralized strategy for cloud adoption, companies are subject to "cloud sprawl", leading to issues with security, compliance and increased costs. CIOs should focus on creating and executing a centralized cloud strategy and utilize it as the foundation for managing the use of cloud services across the business. A poorly implemented cloud strategy can increase cost and reduce agility, thus should involve IT operations and security team during the planning phase. What You'll Learn Leverage cloud computing practices to successfully build a cost-effective cloud environment. Select the most ideal cloud service model, and execute suitable cloud design strategies for your company. Manage changes in the cloud transition and digital transformation process. Implement cloud computing solutions efficiently and effectively. Use case patterns for cloud models and types. Best practices for adopting cloud computing.
Publisher:
ISBN: 9781086039504
Category :
Languages : en
Pages : 164
Book Description
**Get the eBook version free when you purchase the paperback version** The cloud can be regarded as services and software residing and operating on the Internet rather than on a local computer or on-premise network of servers. Cloud adoption is a strategy utilized by companies to enhance the scalability of Internet-based data base capabilities while minimizing risk and cost. To accomplish this, businesses implement cloud computing or utilize remote servers hosted on the internet to store, manage, and process data. Without a centralized strategy for cloud adoption, companies are subject to "cloud sprawl", leading to issues with security, compliance and increased costs. CIOs should focus on creating and executing a centralized cloud strategy and utilize it as the foundation for managing the use of cloud services across the business. A poorly implemented cloud strategy can increase cost and reduce agility, thus should involve IT operations and security team during the planning phase. What You'll Learn Leverage cloud computing practices to successfully build a cost-effective cloud environment. Select the most ideal cloud service model, and execute suitable cloud design strategies for your company. Manage changes in the cloud transition and digital transformation process. Implement cloud computing solutions efficiently and effectively. Use case patterns for cloud models and types. Best practices for adopting cloud computing.
Cloud Foundry: The Definitive Guide
Author: Duncan C. E. Winn
Publisher: "O'Reilly Media, Inc."
ISBN: 1491932546
Category : Computers
Languages : en
Pages : 324
Book Description
How can Cloud Foundry help you develop and deploy business-critical applications and tasks with velocity? This practical guide demonstrates how this open source, cloud-native application platform not only significantly reduces the develop-to-deploy cycle time, but also raises the value line for application operators by changing the way applications and supporting services are deployed and run. Learn how Cloud Foundry can help you improve your product velocity by handling many of essential tasks required to run applications in production. Author Duncan Winn shows DevOps and operations teams how to configure and run Cloud Foundry at scale. You’ll examine Cloud Foundry’s technical concepts—including how various platform components interrelate—and learn how to choose your underlying infrastructure, define the networking architecture, and establish resiliency requirements. This book covers: Cloud-native concepts that make the app build, test, deploy, and scale faster How to deploy Cloud Foundry and the BOSH release engineering toolchain Concepts and components of Cloud Foundry’s runtime architecture Cloud Foundry’s routing mechanisms and capabilities The platform’s approach to container tooling and orchestration BOSH concepts, deployments, components, and commands Basic tools and techniques for debugging the platform Recent and soon-to-emerge features of Cloud Foundry
Publisher: "O'Reilly Media, Inc."
ISBN: 1491932546
Category : Computers
Languages : en
Pages : 324
Book Description
How can Cloud Foundry help you develop and deploy business-critical applications and tasks with velocity? This practical guide demonstrates how this open source, cloud-native application platform not only significantly reduces the develop-to-deploy cycle time, but also raises the value line for application operators by changing the way applications and supporting services are deployed and run. Learn how Cloud Foundry can help you improve your product velocity by handling many of essential tasks required to run applications in production. Author Duncan Winn shows DevOps and operations teams how to configure and run Cloud Foundry at scale. You’ll examine Cloud Foundry’s technical concepts—including how various platform components interrelate—and learn how to choose your underlying infrastructure, define the networking architecture, and establish resiliency requirements. This book covers: Cloud-native concepts that make the app build, test, deploy, and scale faster How to deploy Cloud Foundry and the BOSH release engineering toolchain Concepts and components of Cloud Foundry’s runtime architecture Cloud Foundry’s routing mechanisms and capabilities The platform’s approach to container tooling and orchestration BOSH concepts, deployments, components, and commands Basic tools and techniques for debugging the platform Recent and soon-to-emerge features of Cloud Foundry
Building Machine Learning and Deep Learning Models on Google Cloud Platform
Author: Ekaba Bisong
Publisher: Apress
ISBN: 1484244702
Category : Computers
Languages : en
Pages : 703
Book Description
Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform. Author Ekaba Bisong shows you how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. He teaches you how deep learning extends the machine learning algorithm of neural networks to learn complex tasks that are difficult for computers to perform, such as recognizing faces and understanding languages. And you will know how to leverage cloud computing to accelerate data science and machine learning deployments. Building Machine Learning and Deep Learning Models on Google Cloud Platform is divided into eight parts that cover the fundamentals of machine learning and deep learning, the concept of data science and cloud services, programming for data science using the Python stack, Google Cloud Platform (GCP) infrastructure and products, advanced analytics on GCP, and deploying end-to-end machine learning solution pipelines on GCP. What You’ll Learn Understand the principles and fundamentals of machine learning and deep learning, the algorithms, how to use them, when to use them, and how to interpret your resultsKnow the programming concepts relevant to machine and deep learning design and development using the Python stack Build and interpret machine and deep learning models Use Google Cloud Platform tools and services to develop and deploy large-scale machine learning and deep learning products Be aware of the different facets and design choices to consider when modeling a learning problem Productionalize machine learning models into software products Who This Book Is For Beginners to the practice of data science and applied machine learning, data scientists at all levels, machine learning engineers, Google Cloud Platform data engineers/architects, and software developers
Publisher: Apress
ISBN: 1484244702
Category : Computers
Languages : en
Pages : 703
Book Description
Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform. Author Ekaba Bisong shows you how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. He teaches you how deep learning extends the machine learning algorithm of neural networks to learn complex tasks that are difficult for computers to perform, such as recognizing faces and understanding languages. And you will know how to leverage cloud computing to accelerate data science and machine learning deployments. Building Machine Learning and Deep Learning Models on Google Cloud Platform is divided into eight parts that cover the fundamentals of machine learning and deep learning, the concept of data science and cloud services, programming for data science using the Python stack, Google Cloud Platform (GCP) infrastructure and products, advanced analytics on GCP, and deploying end-to-end machine learning solution pipelines on GCP. What You’ll Learn Understand the principles and fundamentals of machine learning and deep learning, the algorithms, how to use them, when to use them, and how to interpret your resultsKnow the programming concepts relevant to machine and deep learning design and development using the Python stack Build and interpret machine and deep learning models Use Google Cloud Platform tools and services to develop and deploy large-scale machine learning and deep learning products Be aware of the different facets and design choices to consider when modeling a learning problem Productionalize machine learning models into software products Who This Book Is For Beginners to the practice of data science and applied machine learning, data scientists at all levels, machine learning engineers, Google Cloud Platform data engineers/architects, and software developers
Practical Cloud Security
Author: Chris Dotson
Publisher: O'Reilly Media
ISBN: 1492037486
Category : Computers
Languages : en
Pages : 195
Book Description
With their rapidly changing architecture and API-driven automation, cloud platforms come with unique security challenges and opportunities. This hands-on book guides you through security best practices for multivendor cloud environments, whether your company plans to move legacy on-premises projects to the cloud or build a new infrastructure from the ground up. Developers, IT architects, and security professionals will learn cloud-specific techniques for securing popular cloud platforms such as Amazon Web Services, Microsoft Azure, and IBM Cloud. Chris Dotson—an IBM senior technical staff member—shows you how to establish data asset management, identity and access management, vulnerability management, network security, and incident response in your cloud environment.
Publisher: O'Reilly Media
ISBN: 1492037486
Category : Computers
Languages : en
Pages : 195
Book Description
With their rapidly changing architecture and API-driven automation, cloud platforms come with unique security challenges and opportunities. This hands-on book guides you through security best practices for multivendor cloud environments, whether your company plans to move legacy on-premises projects to the cloud or build a new infrastructure from the ground up. Developers, IT architects, and security professionals will learn cloud-specific techniques for securing popular cloud platforms such as Amazon Web Services, Microsoft Azure, and IBM Cloud. Chris Dotson—an IBM senior technical staff member—shows you how to establish data asset management, identity and access management, vulnerability management, network security, and incident response in your cloud environment.
Official Google Cloud Certified Associate Cloud Engineer Study Guide
Author: Dan Sullivan
Publisher: John Wiley & Sons
ISBN: 1119564182
Category : Computers
Languages : en
Pages : 560
Book Description
The Only Official Google Cloud Study Guide The Official Google Cloud Certified Associate Cloud Engineer Study Guide, provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Engineering certification. Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests. Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Official Google Cloud Certified Associate Cloud Engineer Study Guide is your ace in the hole for deploying and managing Google Cloud Services. Select the right Google service from the various choices based on the application to be built Compute with Cloud VMs and managing VMs Plan and deploying storage Network and configure access and security Google Cloud Platform is a leading public cloud that provides its users to many of the same software, hardware, and networking infrastructure used to power Google services. Businesses, organizations, and individuals can launch servers in minutes, store petabytes of data, and implement global virtual clouds with the Google Cloud Platform. Certified Associate Cloud Engineers have demonstrated the knowledge and skills needed to deploy and operate infrastructure, services, and networks in the Google Cloud. This exam guide is designed to help you understand the Google Cloud Platform in depth so that you can meet the needs of those operating resources in the Google Cloud.
Publisher: John Wiley & Sons
ISBN: 1119564182
Category : Computers
Languages : en
Pages : 560
Book Description
The Only Official Google Cloud Study Guide The Official Google Cloud Certified Associate Cloud Engineer Study Guide, provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Engineering certification. Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests. Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Official Google Cloud Certified Associate Cloud Engineer Study Guide is your ace in the hole for deploying and managing Google Cloud Services. Select the right Google service from the various choices based on the application to be built Compute with Cloud VMs and managing VMs Plan and deploying storage Network and configure access and security Google Cloud Platform is a leading public cloud that provides its users to many of the same software, hardware, and networking infrastructure used to power Google services. Businesses, organizations, and individuals can launch servers in minutes, store petabytes of data, and implement global virtual clouds with the Google Cloud Platform. Certified Associate Cloud Engineers have demonstrated the knowledge and skills needed to deploy and operate infrastructure, services, and networks in the Google Cloud. This exam guide is designed to help you understand the Google Cloud Platform in depth so that you can meet the needs of those operating resources in the Google Cloud.
Cloud Native Patterns
Author: Cornelia Davis
Publisher: Simon and Schuster
ISBN: 1638356858
Category : Computers
Languages : en
Pages : 573
Book Description
Summary Cloud Native Patternsis your guide to developing strong applications that thrive in the dynamic, distributed, virtual world of the cloud. This book presents a mental model for cloud-native applications, along with the patterns, practices, and tooling that set them apart. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Cloud platforms promise the holy grail: near-zero downtime, infinite scalability, short feedback cycles, fault-tolerance, and cost control. But how do you get there? By applying cloudnative designs, developers can build resilient, easily adaptable, web-scale distributed applications that handle massive user traffic and data loads. Learn these fundamental patterns and practices, and you'll be ready to thrive in the dynamic, distributed, virtual world of the cloud. About the Book With 25 years of experience under her belt, Cornelia Davis teaches you the practices and patterns that set cloud-native applications apart. With realistic examples and expert advice for working with apps, data, services, routing, and more, she shows you how to design and build software that functions beautifully on modern cloud platforms. As you read, you will start to appreciate that cloud-native computing is more about the how and why rather than the where. What's inside The lifecycle of cloud-native apps Cloud-scale configuration management Zero downtime upgrades, versioned services, and parallel deploys Service discovery and dynamic routing Managing interactions between services, including retries and circuit breakers About the Reader Requires basic software design skills and an ability to read Java or a similar language. About the Author Cornelia Davis is Vice President of Technology at Pivotal Software. A teacher at heart, she's spent the last 25 years making good software and great software developers. Table of Contents PART 1 - THE CLOUD-NATIVE CONTEXT You keep using that word: Defining "cloud-native" Running cloud-native applications in production The platform for cloud-native software PART 2 - CLOUD-NATIVE PATTERNS Event-driven microservices: It's not just request/response App redundancy: Scale-out and statelessness Application configuration: Not just environment variables The application lifecycle: Accounting for constant change Accessing apps: Services, routing, and service discovery Interaction redundancy: Retries and other control loops Fronting services: Circuit breakers and API gateways Troubleshooting: Finding the needle in the haystack Cloud-native data: Breaking the data monolith
Publisher: Simon and Schuster
ISBN: 1638356858
Category : Computers
Languages : en
Pages : 573
Book Description
Summary Cloud Native Patternsis your guide to developing strong applications that thrive in the dynamic, distributed, virtual world of the cloud. This book presents a mental model for cloud-native applications, along with the patterns, practices, and tooling that set them apart. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Cloud platforms promise the holy grail: near-zero downtime, infinite scalability, short feedback cycles, fault-tolerance, and cost control. But how do you get there? By applying cloudnative designs, developers can build resilient, easily adaptable, web-scale distributed applications that handle massive user traffic and data loads. Learn these fundamental patterns and practices, and you'll be ready to thrive in the dynamic, distributed, virtual world of the cloud. About the Book With 25 years of experience under her belt, Cornelia Davis teaches you the practices and patterns that set cloud-native applications apart. With realistic examples and expert advice for working with apps, data, services, routing, and more, she shows you how to design and build software that functions beautifully on modern cloud platforms. As you read, you will start to appreciate that cloud-native computing is more about the how and why rather than the where. What's inside The lifecycle of cloud-native apps Cloud-scale configuration management Zero downtime upgrades, versioned services, and parallel deploys Service discovery and dynamic routing Managing interactions between services, including retries and circuit breakers About the Reader Requires basic software design skills and an ability to read Java or a similar language. About the Author Cornelia Davis is Vice President of Technology at Pivotal Software. A teacher at heart, she's spent the last 25 years making good software and great software developers. Table of Contents PART 1 - THE CLOUD-NATIVE CONTEXT You keep using that word: Defining "cloud-native" Running cloud-native applications in production The platform for cloud-native software PART 2 - CLOUD-NATIVE PATTERNS Event-driven microservices: It's not just request/response App redundancy: Scale-out and statelessness Application configuration: Not just environment variables The application lifecycle: Accounting for constant change Accessing apps: Services, routing, and service discovery Interaction redundancy: Retries and other control loops Fronting services: Circuit breakers and API gateways Troubleshooting: Finding the needle in the haystack Cloud-native data: Breaking the data monolith
How to Transfer Books to Kindle App, Cloud, Kindle Paperwhite and All Kindle Device
Author: Andrew Jesse
Publisher:
ISBN: 9781796935011
Category :
Languages : en
Pages : 41
Book Description
DOWNLOAD FREE EBOOK: GET THE KINDLE BOOK FREE WHEN YOU PURCHASE THIS PAPERPACK VERSION IN LINE WITH MATCHBOOK OFFERBUY NOW Kindle eReaders and apps make it super easy to buy eBooks from Amazon and read them, but what if you want to read your own eBooks, documents, or articles on your Kindle?Do you need to move books from your old Kindle to your new Kindle?Or probably you want to add eBooks that you may have gotten from eBook sources to your kindle device?THIS BOOK PROVIDES A COMPLETE STEP BY STEP AND FULLY COMPREHENSIVE PICTURE GUIDE [ALL LATEST METHODS] FOR 2019 on...HOW TO TRANSFER BOOKS TO KINDLE APP, CLOUD, KINDLE PAPERWHITE AND ALL KINDLE DEVICE: A Complete user step by step latest Guide for 2019 with Pictures for Kindle HD Fire, Computer, Android and iOS, etc in Seconds, 2019 Latest Guide. A Complete Step by Step and fully Comprehensive Picture Guide [all latest methods]This book will give you a very easy and comprehensive step by step and clear picture guide on how to transfer ebooks to your kindle devices. All of the latest method to transfer ebooks for your devices are covered in this book. including how to to use the send to kindle app, manage your kindle and other FAQs.With this book, Transfer books to: Your new Kindle devices from your old kindleYour Kindle using the send to kindle appYour KIndle using the free mail serviceload other source books to your kindleand more... 2019 latest and easiestconvention way to transfer books to and from your kindle and also new tricks and tips to maintain your kindle properly.Get this Guide Now and stay completely informed on how to transfer and load your kindle with lots of books.Happy kindle Reading Life..
Publisher:
ISBN: 9781796935011
Category :
Languages : en
Pages : 41
Book Description
DOWNLOAD FREE EBOOK: GET THE KINDLE BOOK FREE WHEN YOU PURCHASE THIS PAPERPACK VERSION IN LINE WITH MATCHBOOK OFFERBUY NOW Kindle eReaders and apps make it super easy to buy eBooks from Amazon and read them, but what if you want to read your own eBooks, documents, or articles on your Kindle?Do you need to move books from your old Kindle to your new Kindle?Or probably you want to add eBooks that you may have gotten from eBook sources to your kindle device?THIS BOOK PROVIDES A COMPLETE STEP BY STEP AND FULLY COMPREHENSIVE PICTURE GUIDE [ALL LATEST METHODS] FOR 2019 on...HOW TO TRANSFER BOOKS TO KINDLE APP, CLOUD, KINDLE PAPERWHITE AND ALL KINDLE DEVICE: A Complete user step by step latest Guide for 2019 with Pictures for Kindle HD Fire, Computer, Android and iOS, etc in Seconds, 2019 Latest Guide. A Complete Step by Step and fully Comprehensive Picture Guide [all latest methods]This book will give you a very easy and comprehensive step by step and clear picture guide on how to transfer ebooks to your kindle devices. All of the latest method to transfer ebooks for your devices are covered in this book. including how to to use the send to kindle app, manage your kindle and other FAQs.With this book, Transfer books to: Your new Kindle devices from your old kindleYour Kindle using the send to kindle appYour KIndle using the free mail serviceload other source books to your kindleand more... 2019 latest and easiestconvention way to transfer books to and from your kindle and also new tricks and tips to maintain your kindle properly.Get this Guide Now and stay completely informed on how to transfer and load your kindle with lots of books.Happy kindle Reading Life..
Cloud Native Go
Author: Kevin Hoffman
Publisher: Addison-Wesley Professional
ISBN: 0134505808
Category : Computers
Languages : en
Pages : 524
Book Description
The Complete Guide to Building Cloud-Based Services Cloud Native Go shows developers how to build massive cloud applications that meet the insatiable demands of today’s customers, and will dynamically scale to handle virtually any volume of data, traffic, or users. Kevin Hoffman and Dan Nemeth describe the modern cloud-native application in detail, illuminating factors, disciplines, and habits associated with rapid, reliable cloud-native development. They also introduce Go, a “simply elegant” high-performance language that is especially well-suited for cloud development. You’ll walk through creating microservices in Go, adding front-end web components using ReactJS and Flux, and mastering advanced Go-based cloud-native techniques. Hoffman and Nemeth show how to build a continuous delivery pipeline with tools like Wercker, Docker, and Dockerhub; automatically push apps to leading platforms; and systematically monitor app performance in production. Learn “The Way of the Cloud”: why developing good cloud software is fundamentally about mindset and discipline Discover why Go is ideal for cloud-native microservices development Plan cloud apps that support continuous delivery and deployment Design service ecosystems, and then build them in a test-first manner Push work-in-progress to a cloud Use Event Sourcing and CQRS patterns to react and respond to enormous volume and throughput Secure cloud-based web applications: do’s, don’ts, and options Create reactive applications in the cloud with third-party messaging providers Build massive-scale, cloud-friendly GUIs with React and Flux Monitor dynamic scaling, failover, and fault tolerance in the cloud
Publisher: Addison-Wesley Professional
ISBN: 0134505808
Category : Computers
Languages : en
Pages : 524
Book Description
The Complete Guide to Building Cloud-Based Services Cloud Native Go shows developers how to build massive cloud applications that meet the insatiable demands of today’s customers, and will dynamically scale to handle virtually any volume of data, traffic, or users. Kevin Hoffman and Dan Nemeth describe the modern cloud-native application in detail, illuminating factors, disciplines, and habits associated with rapid, reliable cloud-native development. They also introduce Go, a “simply elegant” high-performance language that is especially well-suited for cloud development. You’ll walk through creating microservices in Go, adding front-end web components using ReactJS and Flux, and mastering advanced Go-based cloud-native techniques. Hoffman and Nemeth show how to build a continuous delivery pipeline with tools like Wercker, Docker, and Dockerhub; automatically push apps to leading platforms; and systematically monitor app performance in production. Learn “The Way of the Cloud”: why developing good cloud software is fundamentally about mindset and discipline Discover why Go is ideal for cloud-native microservices development Plan cloud apps that support continuous delivery and deployment Design service ecosystems, and then build them in a test-first manner Push work-in-progress to a cloud Use Event Sourcing and CQRS patterns to react and respond to enormous volume and throughput Secure cloud-based web applications: do’s, don’ts, and options Create reactive applications in the cloud with third-party messaging providers Build massive-scale, cloud-friendly GUIs with React and Flux Monitor dynamic scaling, failover, and fault tolerance in the cloud
Cloud Native DevOps with Kubernetes
Author: John Arundel
Publisher: O'Reilly Media
ISBN: 1492040738
Category : Computers
Languages : en
Pages : 344
Book Description
Kubernetes is the operating system of the cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts John Arundel and Justin Domingus show you what Kubernetes can do—and what you can do with it. You’ll learn all about the Kubernetes ecosystem, and use battle-tested solutions to everyday problems. You’ll build, step by step, an example cloud native application and its supporting infrastructure, along with a development environment and continuous deployment pipeline that you can use for your own applications. Understand containers and Kubernetes from first principles; no experience necessary Run your own clusters or choose a managed Kubernetes service from Amazon, Google, and others Use Kubernetes to manage resource usage and the container lifecycle Optimize clusters for cost, performance, resilience, capacity, and scalability Learn the best tools for developing, testing, and deploying your applications Apply the latest industry practices for security, observability, and monitoring Adopt DevOps principles to help make your development teams lean, fast, and effective
Publisher: O'Reilly Media
ISBN: 1492040738
Category : Computers
Languages : en
Pages : 344
Book Description
Kubernetes is the operating system of the cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts John Arundel and Justin Domingus show you what Kubernetes can do—and what you can do with it. You’ll learn all about the Kubernetes ecosystem, and use battle-tested solutions to everyday problems. You’ll build, step by step, an example cloud native application and its supporting infrastructure, along with a development environment and continuous deployment pipeline that you can use for your own applications. Understand containers and Kubernetes from first principles; no experience necessary Run your own clusters or choose a managed Kubernetes service from Amazon, Google, and others Use Kubernetes to manage resource usage and the container lifecycle Optimize clusters for cost, performance, resilience, capacity, and scalability Learn the best tools for developing, testing, and deploying your applications Apply the latest industry practices for security, observability, and monitoring Adopt DevOps principles to help make your development teams lean, fast, and effective