Kubernetes For Python Developers PDF Download
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| Author | : Lakshmi Narasimhan P |
| Publisher | : Independently Published |
| Total Pages | : 0 |
| Release | : 2024-03-26 |
| Genre | : Computers |
| ISBN | : |
Download Kubernetes for Python Developers Book in PDF, ePub and Kindle
"Kubernetes for Python Developers" is the essential guide for developers new to Kubernetes, focusing on a step-by-step approach from application creation to deployment. Written with beginners in mind, it demystifies Kubernetes through a developer's lens, ensuring concepts are accessible and practical. The book includes 30+ exercises with solutions and numerous examples to solidify understanding. Whether you're looking to grasp container orchestration or deploy your Python applications with confidence, this book provides the knowledge and tools needed to navigate the Kubernetes ecosystem effectively. Contents 1. The meta stuff The audience of the book Why developers should learn Kubernetes What we will build What prerequisites you need 2. Containers recap Intro to containers How containers work Container networking Isolating processes Docker compose Docker registry Other container engines 3. Kubernetes 101 Why Kubernetes? How Kubernetes works Components of a Kubernetes cluster Setting up your first cluster 4. Pods 101 Kubectl, kubeconfig How to interact with your cluster Pods, events working with pods 5. Pods 201 Getting inside a pod Pod probes Namespaces Pod networking Deploying your first application 6. Beyond pods Replicasets Deployments Services Full fledged Flask app with Redis 7. Going a notch further Config maps Secrets Init containers Storing persistent data 8. A more robust setup Stateful sets Service accounts and RBAC Ingress annotations 9. Closing thoughts Setting up a CD pipeline in Github Github actions Where to go from here Appendix A: Troubleshooting common scenarios Pod not coming up Correct labels Exposing ports Resource constraints Unauthorized Appendix B: Solutions to exercises Is this the right book for you? This book aims to bridge the gap between Python development and Kubernetes operations, making it an ideal read for anyone in the software development lifecycle seeking to adopt Kubernetes for Python applications. This includes python developers, beginners to Kubernetes, students and educators. Whom is this book NOT for? If you already know Kubernetes and are using it in some capacity, then you might not find any value in this book. Also, if you don't have much of a technical background(don't know how to work with Python, no idea about containers), then this book won't be a good fit for you. About me I'm a full stack developer with more than 2 decades of experience working with enterprise customers. I've been dabbling with Kubernetes since 2018, when there were comparitively lesser resources to tame the Kubernetes beast. I always wanted to read a book to bridge the knowledge gap for a developer who knows a bit of ops and wants to dip their toes in the Kubernetes waters and figured I'll write one for those who are on the same boat. Is the book ideal only for Python developers? IThe book has been written using a Python Flask application as an example. It is quite easy to fit in your Node.js/Java/PHP/Rails/Golang/Rust stack if you understand the concepts explained in the book.
| Author | : Joseph Heck |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 363 |
| Release | : 2018-04-06 |
| Genre | : Computers |
| ISBN | : 1788830601 |
Download Kubernetes for Developers Book in PDF, ePub and Kindle
A developer's field-guide to designing scalable services using Kubernetes Key Features Develop and run your software using containers within a Kubernetes environment Get hands-on experience of using Kubernetes with DevOps concepts such as continuous integration, benchmark testing, monitoring, and so on Pragmatic example-based approach showing how to use Kubernetes in the development process Book Description Kubernetes is documented and typically approached from the perspective of someone running software that has already been built. Kubernetes may also be used to enhance the development process, enabling more consistent testing and analysis of code to help developers verify not only its correctness, but also its efficiency. This book introduces key Kubernetes concepts, coupled with examples of how to deploy and use them with a bit of Node.js and Python example code, so that you can quickly replicate and use that knowledge. You will begin by setting up Kubernetes to help you develop and package your code. We walk you through the setup and installation process before working with Kubernetes in the development environment. We then delve into concepts such as automating your build process, autonomic computing, debugging, and integration testing. This book covers all the concepts required for a developer to work with Kubernetes. By the end of this book, you will be in a position to use Kubernetes in development ecosystems. What you will learn Build your software into containers Deploy and debug software running in containers within Kubernetes Declare and add configuration through Kubernetes Define how your application fits together, using internal and external services Add feedback to your code to help Kubernetes manage your services Monitor and measure your services through integration testing and in production deployments Who this book is for If you are a full-stack or back-end software developers interested, curious, or being asked to test as well as run the code you're creating, you can leverage Kubernetes to make that process simpler and consistent regardless of where you deploy. If you're looking for developer focused examples in NodeJS and Python for how to build, test, deploy, and run your code with Kubernetes, this is perfect for you.
| Author | : William Denniss |
| Publisher | : Simon and Schuster |
| Total Pages | : 318 |
| Release | : 2024-03-19 |
| Genre | : Computers |
| ISBN | : 1638356408 |
Download Kubernetes for Developers Book in PDF, ePub and Kindle
A clear and practical beginner’s guide that shows you just how easy it can be to make the switch to Kubernetes! Kubernetes for Developers reveals practical and painless methods for deploying your apps on Kubernetes—even for small-to-medium sized applications! You’ll learn how to migrate your existing apps onto Kubernetes without a rebuild, and implement modern cloud native architectures that can handle your future growth. Inside, you’ll learn how to: Containerize a web application with Docker Host a containerized app on Kubernetes with a public cloud service Save money and improve performance with cloud native technologies Make your deployments reliable and fault tolerant Prepare your deployments to scale without a redesign Monitor, debug and tune application deployments on Kubernetes Designed for busy working developers, this hands-on guide helps your first steps into Kubernetes using the powerful Google Kubernetes Engine (GKE) service. Learn how the GKE’s powerful automation tools can perform automatic checks and scaling, giving you more time to spend developing great applications. You’ll soon see that you don’t need to incur huge costs or have the manpower of an enterprise organization to get a productivity boost from Kubernetes! About the technology Modern software needs to perform at scale while effectively handling load balancing, state and security. Kubernetes makes these tasks easier and more reliable for apps of any size. This book, written especially for software developers creating applications that run on Kubernetes, shows you exactly how to address these and other important issues. About the book Kubernetes for Developers covers everything you need to know to containerize and deploy an app on Kubernetes from the developer’s perspective. You’ll start by creating a small application you can run on a cloud-based Kubernetes cluster. Then, you’ll systematically explore best practices for stable long-term deployment, including scaling, capacity planning, and resource optimization. What's inside Deploying reliable web applications using automated operations Scaling up without an application redesign Monitoring, debugging, and tuning workloads About the reader For developers familiar with building or deploying web applications. No Docker or Kubernetes experience required. About the author William Denniss is a product manager at Google working on Google Kubernetes Engine. Table of Contents PART 1 Getting started with Kubernetes 1 Kubernetes for application deployment 2 Containerizing apps 3 Deploying to Kubernetes 4 Automated operations 5 Resource management PART 2 Going to production 6 Scaling up 7 Internal services and load balancing 8 Node feature selection 9 Stateful applications 10 Background processing 11 GitOps: Configuration as code 12 Securing Kubernetes
| Author | : Michael Hausenblas |
| Publisher | : O'Reilly Media |
| Total Pages | : 273 |
| Release | : 2019-07-18 |
| Genre | : Computers |
| ISBN | : 1492047074 |
Download Programming Kubernetes Book in PDF, ePub and Kindle
If you’re looking to develop native applications in Kubernetes, this is your guide. Developers and AppOps administrators will learn how to build Kubernetes-native applications that interact directly with the API server to query or update the state of resources. AWS developer advocate Michael Hausenblas and Red Hat principal software engineer Stefan Schimanski explain the characteristics of these apps and show you how to program Kubernetes to build them. You’ll explore the basic building blocks of Kubernetes, including the client-go API library and custom resources. All you need to get started is a rudimentary understanding of development and system administration tools and practices, such as package management, the Go programming language, and Git. Walk through Kubernetes API basics and dive into the server’s inner structure Explore Kubernetes’s programming interface in Go, including Kubernetes API objects Learn about custom resources—the central extension tools used in the Kubernetes ecosystem Use tags to control Kubernetes code generators for custom resources Write custom controllers and operators and make them production ready Extend the Kubernetes API surface by implementing a custom API server
| Author | : Jaime Buelta |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 396 |
| Release | : 2019-11-22 |
| Genre | : Computers |
| ISBN | : 1838822550 |
Download Hands-On Docker for Microservices with Python Book in PDF, ePub and Kindle
A step-by-step guide to building microservices using Python and Docker, along with managing and orchestrating them with Kubernetes Key FeaturesLearn to use Docker containers to create, operate, and deploy your microservicesCreate workflows to manage independent deployments on coordinating services using CI and GitOps through GitHub, Travis CI, and FluxDevelop a REST microservice in Python using the Flask framework and Postgres databaseBook Description Microservices architecture helps create complex systems with multiple, interconnected services that can be maintained by independent teams working in parallel. This book guides you on how to develop these complex systems with the help of containers. You’ll start by learning to design an efficient strategy for migrating a legacy monolithic system to microservices. You’ll build a RESTful microservice with Python and learn how to encapsulate the code for the services into a container using Docker. While developing the services, you’ll understand how to use tools such as GitHub and Travis CI to ensure continuous delivery (CD) and continuous integration (CI). As the systems become complex and grow in size, you’ll be introduced to Kubernetes and explore how to orchestrate a system of containers while managing multiple services. Next, you’ll configure Kubernetes clusters for production-ready environments and secure them for reliable deployments. In the concluding chapters, you’ll learn how to detect and debug critical problems with the help of logs and metrics. Finally, you’ll discover a variety of strategies for working with multiple teams dealing with different microservices for effective collaboration. By the end of this book, you’ll be able to build production-grade microservices as well as orchestrate a complex system of services using containers. What you will learnDiscover how to design, test, and operate scalable microservicesCoordinate and deploy different services using KubernetesUse Docker to construct scalable and manageable applications with microservicesUnderstand how to monitor a complete system to ensure early detection of problemsBecome well versed with migrating from an existing monolithic system to a microservice oneUse load balancing to ensure seamless operation between the old monolith and the new serviceWho this book is for This book is for developers, engineers, or software architects who are trying to move away from traditional approaches for building complex multi-service systems by adopting microservices and containers. Although familiarity with Python programming is assumed, no prior knowledge of Docker is required.
| Author | : Jaime Buelta |
| Publisher | : |
| Total Pages | : 408 |
| Release | : 2019-11-22 |
| Genre | : Computers |
| ISBN | : 9781838823818 |
Download Hands-On Docker for Microservices with Python Book in PDF, ePub and Kindle
A step-by-step guide to building microservices using Python and Docker, along with managing and orchestrating them with Kubernetes Key Features Learn to use Docker containers to create, operate, and deploy your microservices Create workflows to manage independent deployments on coordinating services using CI and GitOps through GitHub, Travis CI, and Flux Develop a REST microservice in Python using the Flask framework and Postgres database Book Description Microservices architecture helps create complex systems with multiple, interconnected services that can be maintained by independent teams working in parallel. This book guides you on how to develop these complex systems with the help of containers. You'll start by learning to design an efficient strategy for migrating a legacy monolithic system to microservices. You'll build a RESTful microservice with Python and learn how to encapsulate the code for the services into a container using Docker. While developing the services, you'll understand how to use tools such as GitHub and Travis CI to ensure continuous delivery (CD) and continuous integration (CI). As the systems become complex and grow in size, you'll be introduced to Kubernetes and explore how to orchestrate a system of containers while managing multiple services. Next, you'll configure Kubernetes clusters for production-ready environments and secure them for reliable deployments. In the concluding chapters, you'll learn how to detect and debug critical problems with the help of logs and metrics. Finally, you'll discover a variety of strategies for working with multiple teams dealing with different microservices for effective collaboration. By the end of this book, you'll be able to build production-grade microservices as well as orchestrate a complex system of services using containers. What you will learn Discover how to design, test, and operate scalable microservices Coordinate and deploy different services using Kubernetes Use Docker to construct scalable and manageable applications with microservices Understand how to monitor a complete system to ensure early detection of problems Become well versed with migrating from an existing monolithic system to a microservice one Use load balancing to ensure seamless operation between the old monolith and the new service Who this book is for This book is for developers, engineers, or software architects who are trying to move away from traditional approaches for building complex multi-service systems by adopting microservices and containers. Although familiarity with Python programming is assumed, no prior knowledge of Docker is required.
| Author | : Jason Dobies |
| Publisher | : O'Reilly Media |
| Total Pages | : 156 |
| Release | : 2020-02-21 |
| Genre | : Computers |
| ISBN | : 1492048011 |
Download Kubernetes Operators Book in PDF, ePub and Kindle
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
| Author | : Arnaud Weil |
| Publisher | : Arnaud Weil |
| Total Pages | : 194 |
| Release | : 2020-02-11 |
| Genre | : Computers |
| ISBN | : |
Download Learn Kubernetes & Docker - .NET Core, Java, Node.JS, PHP or Python Book in PDF, ePub and Kindle
This book is for anyone who needs to run software using Docker and orchestrate it on Kubernetes. Whether you’re a developer, a DevOps manager or a technician, this book should help you create Docker containers then plan and run them as Kubernetes workloads. I assume that you have no previous knowledge about containers or containers orchestration. I made my best to keep this book small, so that you can learn Kubernetes and Docker quickly without getting lost in petty details. If you are looking for a reference book where you’ll find answers to all the questions you may have within the next 4 years of your Kubernetes practice, you’ll find other heavy books for that. My purpose is to swiftly provide you with the tools you need to create and run your first cloud-ready application using Kubernetes and Docker, then be able to look for more by yourself when needed. Plus this book is packed with exercises and samples where you create, run and manage your own applications as Docker containers on your machine then on a Kubernetes cluster. Read this book, and you can create and run your first Kubernetes application within a week.
| Author | : Bilgin Ibryam |
| Publisher | : O'Reilly Media |
| Total Pages | : 267 |
| Release | : 2019-04-09 |
| Genre | : Computers |
| ISBN | : 1492050253 |
Download Kubernetes Patterns Book in PDF, ePub and Kindle
The way developers design, build, and run software has changed significantly with the evolution of microservices and containers. These modern architectures use new primitives that require a different set of practices than most developers, tech leads, and architects are accustomed to. With this focused guide, Bilgin Ibryam and Roland Huß from Red Hat provide common reusable elements, patterns, principles, and practices for designing and implementing cloud-native applications on Kubernetes. Each pattern includes a description of the problem and a proposed solution with Kubernetes specifics. Many patterns are also backed by concrete code examples. This book is ideal for developers already familiar with basic Kubernetes concepts who want to learn common cloud native patterns. You’ll learn about the following pattern categories: Foundational patterns cover the core principles and practices for building container-based cloud-native applications. Behavioral patterns explore finer-grained concepts for managing various types of container and platform interactions. Structural patterns help you organize containers within a pod, the atom of the Kubernetes platform. Configuration patterns provide insight into how application configurations can be handled in Kubernetes. Advanced patterns covers more advanced topics such as extending the platform with operators.
| Author | : Tim Peters |
| Publisher | : GitforGits |
| Total Pages | : 254 |
| Release | : 2024-01-31 |
| Genre | : Computers |
| ISBN | : 8119177614 |
Download Practical Python Backend Programming Book in PDF, ePub and Kindle
"Practical Python Backend Programming" is a quick pragmatic book that teaches both new and experienced developers the fundamentals of backend development with Python. All sorts of developers, from Python programmers to non-Python programmers, full stack developers, and web developers, will find what they need to know to become experts in backend programming in this entire book. The book covers key topics in backend development, including how to set up stable development environments and how to use virtual environments for better dependency management. With this book, readers will have a firm grasp of Python programming with an emphasis on backend tasks by learning the language's syntax, data structures, and functions. The book teaches you to create and launch dynamic web apps by providing an in-depth look at web frameworks such as Flask and FastAPI. It teaches SQLAlchemy for efficient data handling and advanced database integration, and it shows to improve applications with databases like PostgreSQL, MySQL, and MongoDB. Strategies for managing concurrent operations and improving performance are also covered in the book, along with asynchronous programming in Python. This book delves into various authentication methods, secure communication protocols such as HTTPS, and techniques to secure REST APIs. For efficient management of asynchronous tasks and real-time data processing, it also introduces message brokers such as RabbitMQ and Kafka. The book teaches its readers how to containerize apps and manage them on a large scale by integrating technologies like Docker and Kubernetes. It goes on to talk about how to use serverless architectures, how to use modern tools for continuous integration and deployment, and how to deploy apps to cloud platforms like AWS. Key Learnings Build dynamic web apps with strong backend logic using Flask and FastAPI. Write efficient, well-structured backend code by learning Python's syntax, functions, and best practices. Make your apps more efficient and scalable by using asynchronous programming techniques. Investigate Kubernetes and Docker to orchestrate and containerize apps for improved deployment and scalability. Use AWS's cloud services to deploy apps with guaranteed uptime and lightning-fast performance. Improve efficiency and compatibility by setting up and managing Python development environments. Enhance your data handling capabilities by learning to integrate and manipulate databases using SQLAlchemy. Protect online apps with OAuth and JWT's sophisticated authorization and authentication features. Efficiently process data in real-time and broker messages with RabbitMQ and Kafka. Streamline processes, cut down on mistakes, and implement continuous integration and deployment by following best practices. Table of Content Fundamentals of Backend Development Building Your First Web Application with Flask Advanced Flask Development Introduction to FastAPI Working with Databases Asynchronous Programming in Python User Management and Security Deploying Python Backend Applications Microservices and Cloud Integration Message Brokers and Asynchronous Task Processing
