Learn To Leverage The Full Power Of Kubernetes!Kubernetes is one of the highest velocity open source projects in history. It's a tool that enables developers to manage 'containerized' apps in the cloud easily. It was started as a successor of Google Borg in 2014. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. The best way to kick-start your DevOps career is by learning how to effectively deploy Kubernetes.This book is designed to help you master how to deploy, use, and maintain your applications on Kubernetes. You will learn how to build apps in containers using docker and how to deploy those on a Kubernetes cluster using native OS tools such as Ubuntu, set up a cluster, and create container registry. This book will help you learn components in the Kubernetes architecture and useful commands for deploying and managing a cluster. You will understand the open source orchestration system for container-based distributed applications. It will trace the history of Kubernetes from its origins at Google, and help you set up and manage your first cluster. In this book, we will also look at the most important interview questions for Kubernetes. They are divided into three groups - Beginner, Intermediate and Advanced Level. Generally, questions are asked from the Beginner or Intermediate Level. In this step-by-step guide, you'll learn: (R) How Kubernetes works, including what exactly it does, how it does it and how it can make your work easier and stress free as a user. (R) Important terms (lingo) in Kubernetes (R) Kubernetes architecture (R) Everything there is about Pods, Extensions, Client Libraries, Orchestration Containerization, Deployment and much more, with respect to Kubernetes (R) Kubernetes Helm (R) Kubernetes services (R) Kubernetes interview questions and answers (R) And much much more! This book is the best way to learn the Kubernetes skills you will need to succeed in your DevOps career. Don't waste any more time wondering what book is best for you - you've already found it! Get started right now getting the Kubernetes skills you need to be successful as a DevOps engineer. Click BUY NOW to get started!
Do you wish you understood the revolutionary platform that companies all over the world are using to streamline their production? Then keep reading! If you've been seeing all the fuss about Kubernetes and wondering how you could get in on that, then you need this step-by-step guide on the platform. This guide provides you with the steps you need in order to master the platform, deploy it through your entire production team and maximize the quality of your team's work while shrinking the lead time. This is the perfect book to help you to master every aspect of Kubernetes from deployments to pods, services, client libraries, extensions, and all the other valuable assets this platform has to offer you. This book contains practical examples you can use to fully understand the material and to get an idea for how to creatively maximize your usage of this platform to augment your business! In this step-by-step guide, you will find: -The very purpose for which Kubernetes was created and how it does the things it does-How to assist others in using this platform to maximize the quality of their work-The limitations this platform has, and how to creatively navigate around them-Detailed explanations of each of the features of the platform and how to use them-The benefits of extensions for Kubernetes-So much more!Don't delay any longer in learning about and getting the best possible user experience in Kubernetes. With this book, you can adopt the most helpful habits and practices in using the platform, you can learn the strategies of the professionals who use this platform every day, and you can solve any possible issues or obstacles that present themselves. There are no down-sides! Buy your copy today and get started!
Do you want to learn about Kubernetes to run scalable applications with minimal faults? Then keep reading... What makes this platform one of the most sought-after platforms for developers across the globe? Kubernetes has established itself as one of the leading hosts of cloud-based applications. This open-sourced management system for containers has surged considerably in the past few years and only continues to grow. You could even think of it as one of the biggest success stories in open-source environments. This book will act as your guide to this world, explaining concepts and getting you acclimated to various commands and codes, so you can gain insight into the working of Kubernetes. As you move from one chapter to the next, you will learn: The various concepts of Kubernetes, including containers Understand what DevOps really is Understand more about Docker How you can work with the storage capabilities of Kubernetes How you manage resources Pro Tips Discover the various security measures that you can use for Kubernetes ...and much more! You are going to learn more about this platform and the awesome potential that it holds for you. Just scroll up, Click on the "Buy Now" button and start to learn NOW!
Good!! If you're reading this now, it's not a Coincidence. You're interested in Learning and Mastering Kubernetes.!! Kubernetes container orchestration solution is one of the fastest growing open source projects of recent years. All major cloud providers, such as Google, Amazon, Microsoft, and others now offer Kubernetes instances, and countless companies are outsourcing their Applications to Clusters in the cloud running Kubernetes. We take a closer look at Kubernetes and the concepts behind it. Kubernetes automates many things that used to be done by system administrators, such as network Configuration, load balancing, upgrades, patches, etc.Some of these tasks are integrated directly into Kubernetes, such as load sharing or Auto-Scaling, others are provided as add-ons or extensions. Kubernetes is therefore a great help for system administrators. But Kubernetes also offers decisive advantages for Software Development, since time and effort for Deployment are considerably reduced. Zero-downtime deployments are no problem as Kubernetes also runs rolling updates as standard. Especially useful is the automatic scaling in Kubernetes. Peak loads no longer automatically lead to a downtime of the application. In this book, Readers will get an initial insight into Kubernetes and how they can use this Open Source System in their environment. They will learn how to manage containers with the help of suitable tools and strategies how to implement Microservices. Following are some Concepts that you will learn from this book: Overview of Kubernetes Main components of Kubernetes Key Notions of Kubernetes How to install Kubernetes manually Things required before Kubernetes deployment Deploy Kubernetes with Ansible Deployment setup How to launch container pods with Kubernetes? How to setup Kubernetes Cluster? How to Troubleshoot Kubernetes? And many more.... This book will Guide you as a beginner to Learn and Master Kubernetes So what are you waiting for? Scroll up and click the orange "BUY NOW" button on the top right corner and download Now!!! You won't regret you did See you inside!!!
In this practical guide, four Kubernetes professionals with deep experience in distributed systems, enterprise application development, and open source will guide you through the process of building applications with this container orchestration system. Based on the experiences of companies that are running Kubernetes in production successfully, many of the methods are also backed by concrete code examples. This book is ideal for those already familiar with basic Kubernetes concepts who want to learn common best practices. You’ll learn exactly what you need to know to build your best app with Kubernetes the first time. Set up and develop applications in Kubernetes Learn patterns for monitoring, securing your systems, and managing upgrades, rollouts, and rollbacks Understand Kubernetes networking policies and where service mesh fits in Integrate services and legacy applications and develop higher-level platforms on top of Kubernetes Run machine learning workloads in Kubernetes
LEARN Kuberentes Vs Docker BEST WAY ! Your hands-on Quick-start guide ! This Kuberentes Vs Docker book contains everything you need to know about Kubernetes and Docker and has the following guides: A Step-by-Step Guide to Learn and Master Kubernetes A Step-by-Step Guide to Learn and Master Docker Topics Covered in This Book Include: Guide 1) A Step-by-Step Guide to Learn and Master Kubernetes If you have been in the dark about how to use Kubernetes to its full potential or are hoping to maximize your knowledge of this platform, then Kubernetes: A Step-By-Step Guide to learn and Master Kubernetes is the book for you! From Deployments to Pods, Services, Extensions, Client Libraries, and a host of other valuable aspects of the Kubernetes platform, this book is perfect for readers interested in mastering this platform. Not to mention, this text makes effective use of practical examples that will augment your use of the platform so that you can achieve and surpass whatever goals that you have. In this way, a true step-by-step approach is presented. Moving through all of the various features of the platform, readers will gain access to knowledge that will pay dividends throughout their use of Kubernetes. Not to mention, it will not be surprising if many readers continue to use this book as a reference whenever they are confronted by issues or struggles when using the platform. The detailed nature of this book gives readers the perfect balance of background information and practical tools and insight. Hence, go ahead and dive right into the contents of the book! Inside, you will find: The precise manner in which Kubernetes functions, including what it was developed for and how it can assist users; The limitations of the platform, along with alternative measures to circumvent these limitations; Each of the various aspects and features of the platform; The benefits of Kubernetes Extensions; ...and much more! Guide 2) A Step-by-Step Guide to Learn and Master Docker Innovation in today's fast-paced and interconnected society comes directly from the software. Developers need to be able to provide an intuitive, attractive, and easily accessible experience for their users in order to succeed. Docker's modern platform can provide that kind of innovation to all of its users with its unique method of packaging up applications into isolated, independent, and contained environments in order to maximize their portability as well as their efficiency. This book will go over a number of different topics to give you all of the tools necessary to gain a complete understanding and mastery over Docker's various products and services. These topics include things like the various reasons why you would (and should) choose Docker over any other possibly similar service as well as some short introductions and guides to many of the various products and services that docker offers to its users such as Docker Enterprise and Docker Desktop for Mac or Windows, and the Docker Hub. This book will also go over many of the different features of Docker's various products and services, as well as how to actually use them at a fundamental level in order to help you to master this incredibly innovative platform for building and running applications as smoothly and efficiently as possible. Remember you can never compare a well-structured (paid) book with free online resources like Youtube Channels, Discussion Forums and other online courses (mostly out-dated). Now if you are really serious about "Docker & Kubernetes" ? then Scroll Up and Click the Buy Now Button!
Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play in helping to accelerate these projects. Understand the steps to build a machine learning pipeline Build your pipeline using components from TensorFlow Extended Orchestrate your machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow Pipelines Work with data using TensorFlow Data Validation and TensorFlow Transform Analyze a model in detail using TensorFlow Model Analysis Examine fairness and bias in your model performance Deploy models with TensorFlow Serving or TensorFlow Lite for mobile devices Learn privacy-preserving machine learning techniques
Operators are a way of packaging, deploying, and managing Kubernetes applications. A Kubernetes application doesn’t just run on Kubernetes; it’s composed and managed in Kubernetes terms. Operators add application-specific operational knowledge to a Kubernetes cluster, making it easier to automate complex, stateful applications and to augment the platform. Operators can coordinate application upgrades seamlessly, react to failures automatically, and streamline repetitive maintenance like backups. Think of Operators as site reliability engineers in software. They work by extending the Kubernetes control plane and API, helping systems integrators, cluster administrators, and application developers reliably deploy and manage key services and components. Using real-world examples, authors Jason Dobies and Joshua Wood demonstrate how to use Operators today and how to create Operators for your applications with the Operator Framework and SDK. Learn how to establish a Kubernetes cluster and deploy an Operator Examine a range of Operators from usage to implementation Explore the three pillars of the Operator Framework: the Operator SDK, the Operator Lifecycle Manager, and Operator Metering Build Operators from the ground up using the Operator SDK Build, package, and run an Operator in development, testing, and production phases Learn how to distribute your Operator for installation on Kubernetes clusters
Building models is a small part of the story when it comes to deploying machine learning applications. The entire process involves developing, orchestrating, deploying, and running scalable and portable machine learning workloads--a process Kubeflow makes much easier. This practical book shows data scientists, data engineers, and platform architects how to plan and execute a Kubeflow project to make their Kubernetes workflows portable and scalable. Authors Josh Patterson, Michael Katzenellenbogen, and Austin Harris demonstrate how this open source platform orchestrates workflows by managing machine learning pipelines. You'll learn how to plan and execute a Kubeflow platform that can support workflows from on-premises to cloud providers including Google, Amazon, and Microsoft. Dive into Kubeflow architecture and learn best practices for using the platform Understand the process of planning your Kubeflow deployment Install Kubeflow on an existing on-premises Kubernetes cluster Deploy Kubeflow on Google Cloud Platform step-by-step from the command line Use the managed Amazon Elastic Kubernetes Service (EKS) to deploy Kubeflow on AWS Deploy and manage Kubeflow across a network of Azure cloud data centers around the world Use KFServing to develop and deploy machine learning models
Kubernetes is the operating system of the cloud-native world, providing a reliable and scalable platform for running containerized workloads. This book shows developers and operations staff how to apply industry-standard DevOps practices to Kubernetes in a cloud-native context. You’ll learn all about the Kubernetes ecosystem and discover battle-tested solutions to everyday problems. 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 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 Design your own cloud-native services and infrastructure 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 observability and monitoring Secure your containers and clusters in production Adopt DevOps principles to help make your development teams lean, fast, and effective