Something of The Book

PDF EPUB Library of e-Books

The Kubernetes Bible

The Kubernetes Bible

Author: Nassim Kebbani

Publisher: Packt Publishing Ltd

ISBN: 9781838829452

Category: Computers

Page: 680

View: 926

Download BOOK »
Get up and running with Kubernetes 1.19 and simplify the way you build, deploy, and maintain scalable distributed systems Key Features Design and deploy large clusters on various cloud platforms Explore containerized application deployment, debugging, and recovery with the latest Kubernetes version 1.19 Become well-versed with advanced Kubernetes topics such as traffic routing or Pod autoscaling and scheduling Book Description With its broad adoption across various industries, Kubernetes is helping engineers with the orchestration and automation of container deployments on a large scale, making it the leading container orchestration system and the most popular choice for running containerized applications. This Kubernetes book starts with an introduction to Kubernetes and containerization, covering the setup of your local development environment and the roles of the most important Kubernetes components. Along with covering the core concepts necessary to make the most of your infrastructure, this book will also help you get acquainted with the fundamentals of Kubernetes. As you advance, you'll learn how to manage Kubernetes clusters on cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), and develop and deploy real-world applications in Kubernetes using practical examples. Additionally, you'll get to grips with managing microservices along with best practices. By the end of this book, you'll be equipped with battle-tested knowledge of advanced Kubernetes topics, such as scheduling of Pods and managing incoming traffic to the cluster, and be ready to work with Kubernetes on cloud platforms. What you will learn Manage containerized applications with Kubernetes Understand Kubernetes architecture and the responsibilities of each component Set up Kubernetes on Amazon Elastic Kubernetes Service, Google Kubernetes Engine, and Microsoft Azure Kubernetes Service Deploy cloud applications such as Prometheus and Elasticsearch using Helm charts Discover advanced techniques for Pod scheduling and auto-scaling the cluster Understand possible approaches to traffic routing in Kubernetes Who this book is for This book is for software developers and DevOps engineers looking to understand how to work with Kubernetes for orchestrating containerized applications and services in the cloud. Prior experience with designing software running in operating system containers, as well as a general background in DevOps best practices, will be helpful. Basic knowledge of Kubernetes, Docker, and leading cloud service providers assist with grasping the concepts covered easily.

Linux Bible

Linux Bible

Author: Christopher Negus

Publisher: John Wiley & Sons

ISBN: 9781119578918

Category: Computers

Page: 928

View: 748

Download BOOK »
The industry favorite Linux guide Linux Bible, 10th Edition is the ultimate hands-on Linux user guide, whether you're a true beginner or a more advanced user navigating recent changes. this updated tenth edition covers the latest versions of Red Hat Enterprise Linux (RHEL 8), Fedora 30, and Ubuntu 18.04 LTS. It includes information on cloud computing, with new guidance on containerization, Ansible automation, and Kubernetes and OpenShift. With a focus on RHEL 8, this new edition teaches techniques for managing storage, users, and security, while emphasizing simplified administrative techniques with Cockpit. Written by a Red Hat expert, this book provides the clear explanations and step-by-step instructions that demystify Linux and bring the new features seamlessly into your workflow. This useful guide assumes a base of little or no Linux knowledge, and takes you step by step through what you need to know to get the job done. Get Linux up and running quickly Master basic operations and tackle more advanced tasks Get up to date on the recent changes to Linux server system management Bring Linux to the cloud using Openstack and Cloudforms Simplified Linux administration through the Cockpit Web Interface Automated Linux Deployment with Ansible Learn to navigate Linux with Amazon (AWS), Google (GCE), and Microsofr Azure Cloud services Linux Bible, 10th Edition is the one resource you need, and provides the hands-on training that gets you on track in a flash.

Ubuntu Linux Bible

Ubuntu Linux Bible

Author: David Clinton

Publisher: John Wiley & Sons

ISBN: 9781119722359

Category: Computers

Page: 752

View: 841

Download BOOK »
The best reference for Ubuntu Linux Ubuntu Linux is a popular, powerful, and versatile operating system. Now you can get the most out of everything Ubuntu Linux has to offer with the Ubuntu Linux Bible. This complete and comprehensive guide introduces you to Ubuntu and shows you how to use it to its fullest, whether you're a typical desktop user or a system administrator. You'll learn to do everything from reading email to configuring wireless networks. You'll reap huge rewards from this book, regardless of how much prior experience you have with Ubuntu. Get started with Ubuntu Linux and see what's in the newest version (20.04) Learn how to read emails, surf the web, and create and publish documents Take on system administration tasks, like creating and managing users and adding new disks to the system Discover how to use Ubuntu Linux in an enterprise or personal environment Figure out how to set up Ubuntu Linux servers for the web, email, shared printing, and more Find out why Ubuntu Linux is the most popular Linux operating system in the world

The Kubernetes Operator Framework Book

The Kubernetes Operator Framework Book

Author: Michael Dame

Publisher: Packt Publishing Ltd

ISBN: 9781803244709

Category: Computers

Page: 328

View: 903

Download BOOK »
Design and deploy an operator for personal use and public distribution and get to grips with writing, packaging, and distributing a basic operator for a Kubernetes cluster Key FeaturesDevelop a holistic understanding of operators and the Operator FrameworkLearn to design and develop your own operators as per industry standardsFind out how to implement best practices and troubleshoot Kubernetes operatorsBook Description From incomplete collections of knowledge and varying design approaches to technical knowledge barriers, Kubernetes users face various challenges when developing their own operators. Knowing how to write, deploy, and pack operators makes cluster management automation much easier – and that's what this book is here to teach you. Beginning with operators and Operator Framework fundamentals, the book delves into how the different components of Operator Framework (such as the Operator SDK, Operator Lifecycle Manager, and OperatorHub.io) are used to build operators. You'll learn how to write a basic operator, interact with a Kubernetes cluster in code, and distribute that operator to users. As you advance, you'll be able to develop a sample operator in the Go programming language using Operator SDK tools before running it locally with Operator Lifecycle Manager, and also learn how to package an operator bundle for distribution. The book covers best practices as well as sample applications and case studies based on real-world operators to help you implement the concepts you've learned. By the end of this Kubernetes book, you'll be able to build and add application-specific operational logic to a Kubernetes cluster, making it easier to automate complex applications and augment the platform. What you will learnGain insight into the Operator Framework and the benefits of operatorsImplement standard approaches for designing an operatorDevelop an operator in a stepwise manner using the Operator SDKPublish operators using distribution options such as OperatorHub.ioDeploy operators using different Operator Lifecycle Manager optionsDiscover how Kubernetes development standards relate to operatorsApply knowledge learned from the case studies of real-world operatorsWho this book is for This book is for DevOps and cloud engineers, Kubernetes engineers, SREs, developers, and cloud architects interested in automating the management of their Kubernetes clusters. It assumes a basic understanding of core Kubernetes topics or familiarity with Kubernetes and container orchestration.

Machine Learning on Kubernetes

Machine Learning on Kubernetes

Author: Faisal Masood

Publisher: Packt Publishing Ltd

ISBN: 9781803231655

Category: Computers

Page: 384

View: 416

Download BOOK »
Build a Kubernetes-based self-serving, agile data science and machine learning ecosystem for your organization using reliable and secure open source technologies Key Features • Build a complete machine learning platform on Kubernetes • Improve the agility and velocity of your team by adopting the self-service capabilities of the platform • Reduce time-to-market by automating data pipelines and model training and deployment Book Description MLOps is an emerging field that aims to bring repeatability, automation, and standardization of the software engineering domain to data science and machine learning engineering. By implementing MLOps with Kubernetes, data scientists, IT professionals, and data engineers can collaborate and build machine learning solutions that deliver business value for their organization. You'll begin by understanding the different components of a machine learning project. Then, you'll design and build a practical end-to-end machine learning project using open source software. As you progress, you'll understand the basics of MLOps and the value it can bring to machine learning projects. You will also gain experience in building, configuring, and using an open source, containerized machine learning platform. In later chapters, you will prepare data, build and deploy machine learning models, and automate workflow tasks using the same platform. Finally, the exercises in this book will help you get hands-on experience in Kubernetes and open source tools, such as JupyterHub, MLflow, and Airflow. By the end of this book, you'll have learned how to effectively build, train, and deploy a machine learning model using the machine learning platform you built. What you will learn • Understand the different stages of a machine learning project • Use open source software to build a machine learning platform on Kubernetes • Implement a complete ML project using the machine learning platform presented in this book • Improve on your organization's collaborative journey toward machine learning • Discover how to use the platform as a data engineer, ML engineer, or data scientist • Find out how to apply machine learning to solve real business problems Who this book is for This book is for data scientists, data engineers, IT platform owners, AI product owners, and data architects who want to build their own platform for ML development. Although this book starts with the basics, a solid understanding of Python and Kubernetes, along with knowledge of the basic concepts of data science and data engineering will help you grasp the topics covered in this book in a better way.

Managing Kubernetes Resources Using Helm

Managing Kubernetes Resources Using Helm

Author: Andrew Block

Publisher: Packt Publishing Ltd

ISBN: 9781803239293

Category: Computers

Page: 310

View: 496

Download BOOK »
Reduce the complexity of managing applications on Kubernetes and develop an enterprise pattern for application delivery Key Features Learn best practices from the core maintainer of Helm for application delivery and life cycle management Manage applications deployed in Kubernetes effectively using Helm Go beyond the basics when using Helm with key security considerations and management options Book Description Containerization is one of the best ways to implement DevOps, and learning how to execute it effectively is an essential part of a developer's skillset. Kubernetes is the current industry standard for container orchestration. This book will help you discover the efficiency of managing applications running on Kubernetes with Helm. Starting with a brief introduction to Helm and its impact on users working with containers and Kubernetes, you'll delve into the primitives of Helm charts and their architecture and use cases. From there, you'll understand how to write Helm charts in order to automate application deployment on Kubernetes and work your way toward more advanced strategies. These enterprise-ready patterns are focused on concepts beyond the basics so that you can use Helm optimally, looking at topics related to automation, application development, delivery, lifecycle management, and security. By the end of this book, you'll have learned how to leverage Helm to build, deploy, and manage applications on Kubernetes. What you will learn Understand how to deploy applications on Kubernetes with ease Package dynamic applications for deployment on Kubernetes Integrate Helm into an existing software release process Develop an enterprise automation strategy on Kubernetes using Helm Use Helm within a Helm Kubernetes operator Leverage Helm in a secure and stable manner that fits the enterprise Discover the ins and outs of automation with Helm Who this book is for This book is for Kubernetes developers or administrators who are interested in learning Helm to provide automation for app development on Kubernetes. Although no prior knowledge of Helm is required, basic knowledge of Kubernetes application development will be useful.

End-to-End Automation with Kubernetes and Crossplane

End-to-End Automation with Kubernetes and Crossplane

Author: Arun Ramakani

Publisher: Packt Publishing Ltd

ISBN: 9781801818254

Category: Computers

Page: 250

View: 429

Download BOOK »
A complete journey to automating infrastructure provisioning and cloud-native application deployment Key FeaturesLeverage Crossplane and Kubernetes for a unified automation experience of infrastructure and appsBuild a modern self-service infrastructure platform abstracting recipes and in-house policiesClear guidance on trade-offs to manage Kubernetes configuration and ecosystem toolsBook Description In the last few years, countless organizations have taken advantage of the disruptive app deployment operating model provided by Kubernetes. With the launch of Crossplane, the same benefits are coming to the world of infrastructure provisioning and management. The limitations of Infrastructure as Code with respect to drift management, role-based access control, team collaboration, and weak contract are making people move toward control-plane-based infrastructure automation, but setting it up requires a lot of know-how and effort. This book will take you on a detailed journey through building a control-plane-based infrastructure automation platform with Kubernetes and Crossplane. Although the cloud-native landscape by CNCF has an overwhelming list of tools that can make it difficult to analyze and choose, this book will guide you in selecting the right tools for Kubernetes configuration management that best suit the use case. You'll learn about configuration management with hands-on modules built on popular configuration management tools such as Helm, Kustomize, CNAB, Argo, Keptn, and Open Policy Agent. The examples in the book will be patterns that you can directly use in your work. By the end of this DevOps book, you'll be able to build a modern infrastructure automation platform to unify application and infrastructure automation. What you will learnUnderstand the context of Kubernetes-based infrastructure automationGet to grips with Crossplane concepts with the help of practical examplesExtend Crossplane to build a modern infrastructure automation platformUse the right configuration management tools in the Kubernetes environmentExplore patterns to unify application and infrastructure automationDiscover top engineering practices for infrastructure platform as a productWho this book is for This book is for cloud architects, platform engineers, infrastructure or application operators, and Kubernetes enthusiasts who want to simplify infrastructure and application automation. A basic understanding of Kubernetes and its building blocks like Pod, Deployment, Service, and Namespace is needed before you can get started with this book.

IoT Edge Computing with MicroK8s

IoT Edge Computing with MicroK8s

Author: Karthikeyan Shanmugam

Publisher: Packt Publishing Ltd

ISBN: 9781803240497

Category: Computers

Page: 416

View: 593

Download BOOK »
A step-by-step, comprehensive guide that includes real-world use cases to help you successfully develop and run applications and mission-critical workloads using MicroK8s Key Features An easy-to-follow guide that helps you get started with MicroK8s and other Kubernetes components Understand the key concepts and constraints for building IoT and edge architectures Get guidance on how to develop and deploy use cases and examples on IoT and edge computing platforms Book Description Are you facing challenges with developing, deploying, monitoring, clustering, storing, securing, and managing Kubernetes in production environments as you're not familiar with infrastructure technologies? MicroK8s - a zero-ops, lightweight, and CNCF-compliant Kubernetes with a small footprint is the apt solution for you. This book gets you up and running with production-grade, highly available (HA) Kubernetes clusters on MicroK8s using best practices and examples based on IoT and edge computing. Beginning with an introduction to Kubernetes, MicroK8s, and IoT and edge computing architectures, this book shows you how to install, deploy sample apps, and enable add-ons (like DNS and dashboard) on the MicroK8s platform. You'll work with multi-node Kubernetes clusters on Raspberry Pi and networking plugins (such as Calico and Cilium) and implement service mesh, load balancing with MetalLB and Ingress, and AI/ML workloads on MicroK8s. You'll also understand how to secure containers, monitor infrastructure and apps with Prometheus, Grafana, and the ELK stack, manage storage replication with OpenEBS, resist component failure using a HA cluster, and more, as well as take a sneak peek into future trends. By the end of this book, you'll be able to use MicroK8 to build and implement scenarios for IoT and edge computing workloads in a production environment. What you will learn Get a holistic view of MicroK8s features using a sample application Understand IoT and edge computing and their architecture constraints Create, scale, and update HA Raspberry Pi multi-node clusters Implement AI/ML use cases with the Kubeflow platform Work with various networking plugins, and monitoring and logging tools Perform service mesh integrations using Istio and Linkerd Run serverless applications using Knative and OpenFaaS frameworks Secure your containers using Kata and strict confinement options Who this book is for This book is for DevOps and cloud engineers, SREs, and application developers who want to implement efficient techniques for deploying their software solutions. It will also be useful for technical architects and technology leaders who are looking to adopt cloud-native technologies. A basic understanding of container-based application design and development, virtual machines, networking, databases, and programming will be helpful for using this book.

Cloud-Native Observability with OpenTelemetry

Cloud-Native Observability with OpenTelemetry

Author: Alex Boten

Publisher: Packt Publishing Ltd

ISBN: 9781801071901

Category: Computers

Page: 386

View: 304

Download BOOK »
Leverage OpenTelemetry's API, libraries, tools and the collector to produce and collect telemetry along with using open-source tools to analyze distributed traces, check metrics and logs, and gain insights into application health Key Features Get to grips with OpenTelemetry, an open-source cloud-native software observability standard Use vendor-neutral tools to instrument applications to produce better telemetry and improve observability Understand how telemetry data can be correlated and interpreted to understand distributed systems Book Description Cloud-Native Observability with OpenTelemetry is a guide to helping you look for answers to questions about your applications. This book teaches you how to produce telemetry from your applications using an open standard to retain control of data. OpenTelemetry provides the tools necessary for you to gain visibility into the performance of your services. It allows you to instrument your application code through vendor-neutral APIs, libraries and tools. By reading Cloud-Native Observability with OpenTelemetry, you'll learn about the concepts and signals of OpenTelemetry - traces, metrics, and logs. You'll practice producing telemetry for these signals by configuring and instrumenting a distributed cloud-native application using the OpenTelemetry API. The book also guides you through deploying the collector, as well as telemetry backends necessary to help you understand what to do with the data once it's emitted. You'll look at various examples of how to identify application performance issues through telemetry. By analyzing telemetry, you'll also be able to better understand how an observable application can improve the software development life cycle. By the end of this book, you'll be well-versed with OpenTelemetry, be able to instrument services using the OpenTelemetry API to produce distributed traces, metrics and logs, and more. What you will learn Understand the core concepts of OpenTelemetry Explore concepts in distributed tracing, metrics, and logging Discover the APIs and SDKs necessary to instrument an application using OpenTelemetry Explore what auto-instrumentation is and how it can help accelerate application instrumentation Configure and deploy the OpenTelemetry Collector Get to grips with how different open-source backends can be used to analyze telemetry data Understand how to correlate telemetry in common scenarios to get to the root cause of a problem Who this book is for This book is for software engineers, library authors, and systems operators looking to better understand their infrastructure, services and applications by leveraging telemetry data like never before. Working knowledge of Python programming is assumed for the example applications that you'll be building and instrumenting using the OpenTelemetry API and SDK. Some familiarity with Go programming, Linux, and Docker is preferable to help you set up additional components in various examples throughout the book.

Policy Design in the Age of Digital Adoption

Policy Design in the Age of Digital Adoption

Author: Ricardo Ferreira

Publisher: Packt Publishing Ltd

ISBN: 9781801816861

Category: Computers

Page: 332

View: 889

Download BOOK »
A proven methodology to build a PolicyOps function and public policy design frameworks for digital adoption, supporting your organization's journey into new paradigms and service models such as Cloud, SaaS, CaaS, FaaS, and DevOps Key Features Understand and define policies that can be consumed across the business Leverage a framework to embed Policy as Code into the organization Learn how to use Open Policy Agent and its powerful policy language, Rego Book Description Policy as Code (PaC) is a powerful paradigm that enables organizations to implement, validate, and measure policies at scale. Policy Design in the Age of Digital Adoption is a comprehensive guide to understanding policies, their design, and implementation for cloud environments using a DevOps-based framework. You'll discover how to create the necessary automation, its integration, and which stakeholders to involve. Complete with essential concepts, practical examples, and self-assessment questions, this book will help you understand policies and how new technologies such as cloud, microservices, and serverless leverage Policy as Code. You'll work with a custom framework to implement PaC in the organization, and advance to integrating policies, guidelines, and regulations into code to enhance the security and resilience posture of the organization. You'll also examine existing tools, evaluate them, and learn a framework to implement PaC so that technical and business teams can collaborate more effectively. By the end of this book, you'll have gained the confidence to design digital policies across your organizational environment. What you will learn Understand policies, guidelines, regulations and how they fit together in an organization Discover policy-related current challenges brought by digital transformation regarding policies Find out about Open Policy Engine (OPA) and other policy engines for different environments Get to grips with the latest developments in PaC through a review of the literature, toolset, and usage Explore the PaC framework to develop trust at scale, leveraging patterns and best practices Become familiar with tool evaluation and selection using real-world examples Who this book is for From decision-makers, such as chief information officers (CIOs) and chief information security officers (CISOs) responsible for affecting change horizontally in an organization, to cloud and DevOps architects and engineers, this book will help professionals involved in designing, implementing, and measuring policies in their organizations. A basic understanding of concepts such as cloud-native technologies, Infrastructure as Code, DevOps, and automation is necessary to get started with this book.