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Author: Joe Brian
Publisher: GitforGits
ISBN: 8119177088
Category : Computers
Languages : en
Pages : 281
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Book Description
"Hands-On Multi-Cloud Kubernetes" is an essential guide for anyone looking to understand Kubernetes and how it can be used to manage multi-cloud infrastructure. With eight comprehensive chapters, this book provides hands-on experience in setting up Kubernetes clusters, administering deployments and updates, and working with AWS and GCP tools. Readers will learn to work with various powerful tools, including Helm, FluxCD, Virtual Kubelet, Submariner, and KubeFed. With GitOps principles and workflows, they will practice continuous delivery and learn to manage secrets and config maps. They will build and deploy serverless clusters using Virtual Kubelet and learn to scale them across multiple cloud environments. They will even be introduced to cross-cluster networking with Submariner, where they will learn to perform service discovery, load balancing, and monitor networking metrics. Managing multi-cluster Kubernetes can be a daunting task, but with KubeFed, readers will gain the skills necessary to set up and deploy multicluster federations, making it easier than ever to administer their own infrastructure. And with multi-cloud CI/CD pipelines using Jenkins, they will perform end-to-end multi-cloud operations, ensuring their code is delivered quickly and efficiently. Finally, the book covers security in Kubernetes, giving readers the tools and knowledge to configure RBAC, Kubernetes network policies, and secure data over Kubernetes clusters. They will even learn to use Open Policy Agent to manage compliance, ensuring that their infrastructure is powerful and secure. Key Learnings Learn Multi-cloud Kubernetes from fundamentals to advanced concepts and tools Setting up and managing Kubernetes clusters on multi-cloud infrastructure Working with powerful tools like Helm, FluxCD, and Virtual Kubelet Utilize Submariner for cross-cluster networking, service discovery, and load balancing CI/CD pipelines with Jenkins for end-to-end multi-cloud operations Practice GitOps principles and workflows for continuous delivery Building and deploying serverless clusters using Virtual Kubelet Managing multiple Kubernetes clusters as a single entity with KubeFed Security in Kubernetes with RBAC, network policies, and Open Policy Agent Table of Content Introduction to Multi-cloud Kubernetes Kubernetes Cluster Management and Deployment Using FluxCD Virtual Kubelet and Serverless Clusters Networking with Submariner MultiCluster Management and Federation Multi-cloud CI/CD Pipelines Security in Multi-cloud Kubernetes Audience This book is ideal for cloud professionals, the DevOps team, Kubernetes developers, and networking professionals to explore multi-cloud networking, working with multi clusters, deploying Kubernetes, and getting skilled with various innovative Kubernetes tools. Knowing cloud networking or Kubernetes is sufficient to begin with the book.
Author: Joe Brian
Publisher: GitforGits
ISBN: 8119177088
Category : Computers
Languages : en
Pages : 281
Get Book Here
Book Description
"Hands-On Multi-Cloud Kubernetes" is an essential guide for anyone looking to understand Kubernetes and how it can be used to manage multi-cloud infrastructure. With eight comprehensive chapters, this book provides hands-on experience in setting up Kubernetes clusters, administering deployments and updates, and working with AWS and GCP tools. Readers will learn to work with various powerful tools, including Helm, FluxCD, Virtual Kubelet, Submariner, and KubeFed. With GitOps principles and workflows, they will practice continuous delivery and learn to manage secrets and config maps. They will build and deploy serverless clusters using Virtual Kubelet and learn to scale them across multiple cloud environments. They will even be introduced to cross-cluster networking with Submariner, where they will learn to perform service discovery, load balancing, and monitor networking metrics. Managing multi-cluster Kubernetes can be a daunting task, but with KubeFed, readers will gain the skills necessary to set up and deploy multicluster federations, making it easier than ever to administer their own infrastructure. And with multi-cloud CI/CD pipelines using Jenkins, they will perform end-to-end multi-cloud operations, ensuring their code is delivered quickly and efficiently. Finally, the book covers security in Kubernetes, giving readers the tools and knowledge to configure RBAC, Kubernetes network policies, and secure data over Kubernetes clusters. They will even learn to use Open Policy Agent to manage compliance, ensuring that their infrastructure is powerful and secure. Key Learnings Learn Multi-cloud Kubernetes from fundamentals to advanced concepts and tools Setting up and managing Kubernetes clusters on multi-cloud infrastructure Working with powerful tools like Helm, FluxCD, and Virtual Kubelet Utilize Submariner for cross-cluster networking, service discovery, and load balancing CI/CD pipelines with Jenkins for end-to-end multi-cloud operations Practice GitOps principles and workflows for continuous delivery Building and deploying serverless clusters using Virtual Kubelet Managing multiple Kubernetes clusters as a single entity with KubeFed Security in Kubernetes with RBAC, network policies, and Open Policy Agent Table of Content Introduction to Multi-cloud Kubernetes Kubernetes Cluster Management and Deployment Using FluxCD Virtual Kubelet and Serverless Clusters Networking with Submariner MultiCluster Management and Federation Multi-cloud CI/CD Pipelines Security in Multi-cloud Kubernetes Audience This book is ideal for cloud professionals, the DevOps team, Kubernetes developers, and networking professionals to explore multi-cloud networking, working with multi clusters, deploying Kubernetes, and getting skilled with various innovative Kubernetes tools. Knowing cloud networking or Kubernetes is sufficient to begin with the book.
Author: Justin Garrison
Publisher: "O'Reilly Media, Inc."
ISBN: 1491984279
Category : Computers
Languages : en
Pages : 159
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Book Description
Cloud native infrastructure is more than servers, network, and storage in the cloud—it is as much about operational hygiene as it is about elasticity and scalability. In this book, you’ll learn practices, patterns, and requirements for creating infrastructure that meets your needs, capable of managing the full life cycle of cloud native applications. Justin Garrison and Kris Nova reveal hard-earned lessons on architecting infrastructure from companies such as Google, Amazon, and Netflix. They draw inspiration from projects adopted by the Cloud Native Computing Foundation (CNCF), and provide examples of patterns seen in existing tools such as Kubernetes. With this book, you will: Understand why cloud native infrastructure is necessary to effectively run cloud native applications Use guidelines to decide when—and if—your business should adopt cloud native practices Learn patterns for deploying and managing infrastructure and applications Design tests to prove that your infrastructure works as intended, even in a variety of edge cases Learn how to secure infrastructure with policy as code
Author: Kelsey Hightower
Publisher: "O'Reilly Media, Inc."
ISBN: 1491936029
Category : Computers
Languages : en
Pages : 201
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Book Description
Legend has it that Google deploys over two billion application containers a week. How’s that possible? Google revealed the secret through a project called Kubernetes, an open source cluster orchestrator (based on its internal Borg system) that radically simplifies the task of building, deploying, and maintaining scalable distributed systems in the cloud. This practical guide shows you how Kubernetes and container technology can help you achieve new levels of velocity, agility, reliability, and efficiency. Authors Kelsey Hightower, Brendan Burns, and Joe Beda—who’ve worked on Kubernetes at Google and other organizatons—explain how this system fits into the lifecycle of a distributed application. You will learn how to use tools and APIs to automate scalable distributed systems, whether it is for online services, machine-learning applications, or a cluster of Raspberry Pi computers. Explore the distributed system challenges that Kubernetes addresses Dive into containerized application development, using containers such as Docker Create and run containers on Kubernetes, using the docker image format and container runtime Explore specialized objects essential for running applications in production Reliably roll out new software versions without downtime or errors Get examples of how to develop and deploy real-world applications in Kubernetes
Author: Rajiv Srivastava
Publisher: BPB Publications
ISBN: 9390684315
Category : Computers
Languages : en
Pages : 427
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Book Description
Build and deploy scalable cloud native microservices using the Spring framework and Kubernetes. KEY FEATURES ● Complete coverage on how to design, build, run, and deploy modern cloud native microservices. ● Includes numerous sample code exercises on microservices, Spring and Kubernetes. ● Develop a stronghold on Kubernetes, Spring, and the microservices architecture. ● Complete guide of application containerization on Kubernetes containers. ● Coverage on managing modern applications and infrastructure using observability tools. DESCRIPTION The main objective of this book is to give an overview of cloud native microservices, their architecture, design patterns, best practices, real use cases and practical coverage of modern applications. This book covers a strong understanding of the fundamentals of microservices, API first approach, Testing, observability, API Gateway, Service Mesh and Kubernetes alternatives of Spring Cloud. This book covers the implementation of various design patterns of developing cloud native microservices using Spring framework docker and Kubernetes libraries. It covers containerization concepts and hands-on lab exercises like how to build, run and manage microservices applications using Kubernetes. After reading this book, the readers will have a holistic understanding of building, running, and managing cloud native microservices applications on Kubernetes containers. WHAT YOU WILL LEARN ● Learn fundamentals of microservice and design patterns. ● Learn microservices development using Spring Boot and Kubernetes. ● Learn to develop reactive, event-driven, and batch microservices. ● Perform end-to-end microservices testing using Cucumber. ● Implement API gateway,authentication & authorization,load balancing, caching, rate limiting. ● Learn observability and monitoring techniques of microservices. WHO THIS BOOK IS FOR This book is for the Spring Developers, Microservice Developers, Cloud Engineers, DevOps Consultants, Technical Architect and Solution Architects, who have some familiarity with application development, Docker and Kubernetes containers. TABLE OF CONTENTS 1. Overview of Cloud Native microservices 2. Microservice design patterns 3. API first approach 4. Build microservices using the Spring Framework 5. Batch microservices 6. Build reactive and event-driven microservices 7. The API gateway, security, and distributed caching with Redis 8. Microservices testing and API mocking 9. Microservices observability 10. Containers and Kubernetes overview and architecture 11. Run microservices on Kubernetes 12. Service Mesh and Kubernetes alternatives of Spring Cloud
Author: Steve Buchanan
Publisher: Apress
ISBN: 9781484277676
Category : Computers
Languages : en
Pages : 299
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Book Description
Welcome to this introductory guide to using Microsoft’s Azure Arc service, a new multi-cloud management platform that belongs in every cloud or DevOps estate. As many IT pros know, servers and Azure Kubernetes Service drive a huge amount of consumption in Azure—so why not extend familiar management tools proven in Azure to on-premises and other cloud networks? This practical guide will get you up to speed quickly, with instruction that treads light on the theory and heavy on the hands-on experience to make setting up Azure Arc servers and Kubernetes across multiple clouds a lot less complex. Azure experts and MVPs Buchanan and Joyner provide just the right amount of context so you can grasp important concepts, and get right to the business of using and gaining value from Azure Arc. If your organization has resources across hybrid cloud, multi-cloud, and edge environments, then this book is for you. You will learn how to configure and use Azure Arc to uniformly manage workloads across all of these environments. What You Will Learn Introduces the basics of hybrid, multi-cloud, and edge computing and how Azure Arc fits into that IT strategy Teaches the fundamentals of Azure Resource Manager, setting the reader up with the knowledge needed on the technology that underpins Azure Arc Offers insights into Azure native management tooling for managing on-premises servers and extending to other clouds Details an end-to-end hybrid server monitoring scenario leveraging Azure Monitor and/or Azure Sentinel that is seamlessly delivered by Azure Arc Defines a blueprint to achieve regulatory compliance with industry standards using Azure Arc, delivering Azure Policy from Azure Defender for Servers Explores how Git and GitHub integrate with Azure Arc; delves into how GitOps is used with Azure Arc Empowers your DevOps teams to perform tasks that typically fall under IT operations Dives into how to best use Azure CLI with Azure Arc Who This Book Is For DevOps, system administrators, security professionals, and IT workers responsible for servers both on-premises and in the cloud. Some experience in system administration, DevOps, containers, and use of Git/GitHub is helpful.
Author: Michael Elder
Publisher: "O'Reilly Media, Inc."
ISBN: 149208378X
Category : Computers
Languages : en
Pages : 270
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Book Description
Selling your CTO on the merits of OpenShift and Kubernetes is only the beginning. To operate and scale OpenShift, you also need to know how to manage and expose resources to application teams and continuously deliver changes to the applications running in these environments. With this practical book, new and experienced developers and operators will learn specific techniques for operationalizing OpenShift and Kubernetes in the enterprise. Industry experts Michael Elder, Jake Kitchener, and Brad Topol show you how to run OpenShift and Kubernetes in production and deliver your applications to a highly available, secure, and scalable platform. You'll learn how to build a strong foundation in advanced cluster operational topics, such as tenancy management, scheduling and capacity management, cost management, continuous delivery, and more. Examine the fundamental concepts of Kubernetes architecture Get different Kubernetes and OpenShift environments up and running Dive into advanced resource management topics, including capacity planning Learn how to support high availability inside a single cluster Use production-level approaches for continuous delivery and code promotion across clusters Explore hybrid cloud use cases, including multicluster provisioning, upgrading, and policy support Devise and deliver disaster recovery strategies
Author: Francesco Marchioni
Publisher: Packt Publishing Ltd
ISBN: 1838828184
Category : Computers
Languages : en
Pages : 303
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Book Description
Build robust and reliable Java applications that works on modern infrastructure, such as containers and cloud, using the new features in Quarkus 1.0 Key FeaturesBuild apps with faster boot time and low RSS memory using the latest Quarkus 1.0 featuresSeamlessly integrate imperative and reactive programming models to build modern Java applicationsDiscover effective solutions for running Java on serverless apps, microservices, containers, FaaS, and the cloudBook Description Quarkus is a new Kubernetes-native framework that allows Java developers to combine the power of containers, microservices, and cloud-native to build reliable applications. The book is a development guide that will teach you how to build Java-native applications using Quarkus and GraalVM. We start by learning about the basic concepts of a cloud-native application and its advantages over standard enterprise applications. Then we will quickly move on to application development, by installing the tooling required to build our first application on Quarkus. Next, we’ll learn how to create a container-native image of our application and execute it in a Platform-as-a-Service environment such as Minishift. Later, we will build a complete real-world application that will use REST and the Contexts and Dependency injection stack with a web frontend. We will also learn how to add database persistence to our application using PostgreSQL. We will learn how to work with various APIs available to Quarkus such as Camel, Eclipse MicroProfile, and Spring DI. Towards the end, we will learn advanced development techniques such as securing applications, application configuration, and working with non-blocking programming models using Vert.x. By the end of this book, you will be proficient with all the components of Quarkus and develop-blazing fast applications leveraging modern technology infrastructure. What you will learnBuild a native application using Quarkus and GraalVMSecure your applications using Elytron and the MicroProfile JWT extensionManage data persistence with Quarkus using PostgreSQLUse a non-blocking programming model with QuarkusLearn how to get Camel and Infinispan working in native modeDeploy an application in a Kubernetes-native environment using MinishiftDiscover Reactive Programming with Vert.xWho this book is for The book is for Java developers and software architects who are interested in learning a promising microservice architecture for building reliable and robust applications. Knowledge of Java, Spring Framework, and REST APIs is assumed.
Author: John Arundel
Publisher: O'Reilly Media
ISBN: 1492040738
Category : Computers
Languages : en
Pages : 344
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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
Author: Xavier Vasques
Publisher: John Wiley & Sons
ISBN: 1394220618
Category : Computers
Languages : en
Pages : 516
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Book Description
Enables readers to understand mathematical concepts behind data engineering and machine learning algorithms and apply them using open-source Python libraries Machine Learning Theory and Applications delves into the realm of machine learning and deep learning, exploring their practical applications by comprehending mathematical concepts and implementing them in real-world scenarios using Python and renowned open-source libraries. This comprehensive guide covers a wide range of topics, including data preparation, feature engineering techniques, commonly utilized machine learning algorithms like support vector machines and neural networks, as well as generative AI and foundation models. To facilitate the creation of machine learning pipelines, a dedicated open-source framework named hephAIstos has been developed exclusively for this book. Moreover, the text explores the fascinating domain of quantum machine learning and offers insights on executing machine learning applications across diverse hardware technologies such as CPUs, GPUs, and QPUs. Finally, the book explains how to deploy trained models through containerized applications using Kubernetes and OpenShift, as well as their integration through machine learning operations (MLOps). Additional topics covered in Machine Learning Theory and Applications include: Current use cases of AI, including making predictions, recognizing images and speech, performing medical diagnoses, creating intelligent supply chains, natural language processing, and much more Classical and quantum machine learning algorithms such as quantum-enhanced Support Vector Machines (QSVMs), QSVM multiclass classification, quantum neural networks, and quantum generative adversarial networks (qGANs) Different ways to manipulate data, such as handling missing data, analyzing categorical data, or processing time-related data Feature rescaling, extraction, and selection, and how to put your trained models to life and production through containerized applications Machine Learning Theory and Applications is an essential resource for data scientists, engineers, and IT specialists and architects, as well as students in computer science, mathematics, and bioinformatics. The reader is expected to understand basic Python programming and libraries such as NumPy or Pandas and basic mathematical concepts, especially linear algebra.
Author: Amit Malik
Publisher: Packt Publishing Ltd
ISBN: 1801076855
Category : Computers
Languages : en
Pages : 243
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Book Description
Accelerate hybrid cloud innovation using Azure Arc with the help of real-world scenarios and examples Key FeaturesGet to grips with setting up and working with Azure ArcHarness the power of Azure Arc and its integration with cutting-edge technologies such as Kubernetes and PaaS data servicesManage, govern, and monitor your on-premises servers and applications with AzureBook Description With all the options available for deploying infrastructure on multi-cloud platforms and on-premises comes the complexity of managing it, which is adeptly handled by Azure Arc. This book will show you how you can manage environments across platforms without having to migrate workloads from on-premises or multi-cloud to Azure every time. Implementing Hybrid Cloud with Azure Arc starts with an introduction to Azure Arc and hybrid cloud computing, covering use cases and various supported topologies. You'll learn to set up Windows and Linux servers as Arc-enabled machines and get to grips with deploying applications on Kubernetes clusters with Azure Arc and GitOps. The book then demonstrates how to onboard an on-premises SQL Server infrastructure as an Arc-enabled SQL Server and deploy and manage a hyperscale PostgreSQL infrastructure on-premises through Azure Arc. Along with deployment, the book also covers security, backup, migration, and data distribution aspects. Finally, it shows you how to deploy and manage Azure's data services on your own private cloud and explore multi-cloud solutions with Azure Arc. By the end of this book, you'll have a firm understanding of Azure Arc and how it interacts with various cutting-edge technologies such as Kubernetes and PaaS data services. What you will learnSet up a fully functioning Azure Arc-managed environmentExplore products and services from Azure that will help you to leverage Azure ArcUnderstand the new vision of working with on-premises infrastructureDeploy Azure's PaaS data services on-premises or on other cloud platformsDiscover and learn about the technologies required to design a hybrid and multi-cloud strategyImplement best practices to govern your IT infrastructure in a scalable modelWho this book is for This book is for Cloud IT professionals (Azure and/or AWS), system administrators, database administrators (DBAs), and architects looking to gain clarity about how Azure Arc works and how it can help them achieve business value. Anyone with basic Azure knowledge will benefit from this book.
