Cloud Native Python
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Cloud Native Python
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Author : Manish Sethi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-07-21
Cloud Native Python written by Manish Sethi and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-21 with Computers categories.
Build cloud native applications in Python About This Book This is the only reliable resource that showcases the tools and techniques you need build robust and resilient cloud native applications in Python Learn how to architect your application on both, the AWS and Azure clouds for high availability Assess, monitor, and troubleshoot your applications in the cloud Who This Book Is For This book is ideal for developers with a basic knowledge of Python who want to learn to build, test, and scale their Python-based applications. No prior experience of writing microservices in Python is required. What You Will Learn Get to know “the way of the cloud”, including why developing good cloud software is fundamentally about mindset and discipline Know what microservices are and how to design them Create reactive applications in the cloud with third-party messaging providers Build massive-scale, user-friendly GUIs with React and Flux Secure cloud-based web applications: the do's, don'ts, and options Plan cloud apps that support continuous delivery and deployment In Detail Businesses today are evolving so rapidly that having their own infrastructure to support their expansion is not feasible. As a result, they have been resorting to the elasticity of the cloud to provide a platform to build and deploy their highly scalable applications. This book will be the one stop for you to learn all about building cloud-native architectures in Python. It will begin by introducing you to cloud-native architecture and will help break it down for you. Then you'll learn how to build microservices in Python using REST APIs in an event driven approach and you will build the web layer. Next, you'll learn about Interacting data services and building Web views with React, after which we will take a detailed look at application security and performance. Then, you'll also learn how to Dockerize your services. And finally, you'll learn how to deploy the application on the AWS and Azure platforms. We will end the book by discussing some concepts and techniques around troubleshooting problems that might occur with your applications after you've deployed them. This book will teach you how to craft applications that are built as small standard units, using all the proven best practices and avoiding the usual traps. It's a practical book: we're going to build everything using Python 3 and its amazing tooling ecosystem. The book will take you on a journey, the destination of which, is the creation of a complete Python application based on microservices over the cloud platform Style and approach Filled with examples, this book takes a step-by-step approach to teach you each and every configuration you need to make your application highly available and fault tolerant.
Getting Started With Cloud Native Python
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Author : Manish Sethi
language : en
Publisher:
Release Date : 2017
Getting Started With Cloud Native Python written by Manish Sethi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
"Businesses today are evolving so rapidly that having their own infrastructure to support their expansion is not feasible. As a result, they have been resorting to the elasticity of the cloud to provide a platform to build and deploy their highly scalable applications.This video will be the one stop for you to learn all about building cloud-native architectures in Python. It will begin by introducing you to cloud-native architecture and will help break it down for you. Then you'll learn how to build microservices in Python using REST APIs in an event-driven approach and you will build the web layer."--Resource description page.
Python For Ai Automation And Cloud Native Systems
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Author : Evan Flux
language : en
Publisher: Independently Published
Release Date : 2025-10-24
Python For Ai Automation And Cloud Native Systems written by Evan Flux and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-24 with Computers categories.
Attention: Are you ready to build the intelligent systems shaping the future of cloud computing and automation? In today's fast-moving digital landscape, the ability to orchestrate AI workflows, automate cloud-native operations, and deploy scalable systems efficiently is what separates expert developers from the rest. Interest: Python for AI, Automation, and Cloud-Native Systems is your complete hands-on roadmap to mastering the intersection of Python, artificial intelligence, and modern cloud technologies. This book bridges theory with practice, guiding you step-by-step through real-world scenarios that demonstrate how to design, automate, and scale intelligent systems for today's adaptive infrastructure. You'll discover how to: Build end-to-end AI-driven automation pipelines using Python and popular frameworks. Orchestrate multi-step workflows that connect data ingestion, prediction, and cloud deployment seamlessly. Use tools like Docker(R), Kubernetes(R), and Airflow(R) to manage scalable, fault-tolerant systems. Automate machine learning tasks in AWS(R), Azure(R), and Google Cloud(R) environments. Integrate Python-based automation into DevOps and MLOps practices. Debug, test, and continuously improve distributed intelligent systems. Desire: Whether you're a developer, data engineer, AI practitioner, or cloud architect, this book empowers you to think like an automation architect-combining creativity, precision, and system thinking to build intelligent, adaptive solutions. Each chapter is built around real-world projects and industry best practices, blending AI-powered automation, orchestration design, and cloud-native workflows into one cohesive learning path. By the end of this guide, you'll be able to: ✅ Design reliable, self-healing automation pipelines. ✅ Leverage Python's AI ecosystem for predictive, adaptive systems. ✅ Streamline deployments across multi-cloud platforms. ✅ Future-proof your skills for the next generation of intelligent computing. Action: Don't just code-orchestrate intelligence. Equip yourself with the skills that drive the future of automation and cloud development.
Hands On Microservices With Django
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Author : Tieme Woldman
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-03
Hands On Microservices With Django written by Tieme Woldman and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-03 with Computers categories.
Unlock the potential of microservices architecture and master the art of building scalable and resilient web applications using Django Key Features Deliver, optimize, and secure high-performing microservices in Django Apply community-standard components for microservices like DRF (RESTful APIs), Celery, RabbitMQ, Redis, and Django's Cache Framework Transform existing monolithic applications into microservices Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis book is for Django developers looking to create optimized and scalable web applications using microservices. With it, you’ll learn the principles of microservices and message/task queues and build your first microservices with Django RESTful APIs (DFR) and RabbitMQ. You’ll also master the fundamentals, dockerize your microservices, and optimize and secure them for production environments. By the end, you'll have the skills to design and develop production-ready Django microservices applications with DFR, Celery/RabbitMQ, Redis, and Django's cache framework. What you will learn Understand the architecture of microservices and how Django implements it Build microservices that leverage community-standard components such as Celery, RabbitMQ, and Redis Test microservices and deploy them with Docker Enhance the security of your microservices for production readiness Boost microservice performance through caching Implement best practices to design and deploy high-performing microservices Who this book is for This microservices and Django book is for Django developers who want to take the next step in back-end application development by adopting cloud-native microservices. Backend developers with working knowledge of Flask or other Python programming web frameworks will also benefit from this book. Basic knowledge of developing web APIs will help you get started with quickly building microservices on your own.
Cloud Native Programming With Golang
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Author : Mina Andrawos
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-12-28
Cloud Native Programming With Golang written by Mina Andrawos and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-28 with Computers categories.
Discover practical techniques to build cloud-native apps that are scalable, reliable, and always available. Key Features Build well-designed and secure microservices. Enrich your microservices with continous integration and monitoring. Containerize your application with Docker Deploy your application to AWS. Learn how to utilize the powerful AWS services from within your application Book Description Awarded as one of the best books of all time by BookAuthority, Cloud Native Programming with Golang will take you on a journey into the world of microservices and cloud computing with the help of Go. Cloud computing and microservices are two very important concepts in modern software architecture. They represent key skills that ambitious software engineers need to acquire in order to design and build software applications capable of performing and scaling. Go is a modern cross-platform programming language that is very powerful yet simple; it is an excellent choice for microservices and cloud applications. Go is gaining more and more popularity, and becoming a very attractive skill. This book starts by covering the software architectural patterns of cloud applications, as well as practical concepts regarding how to scale, distribute, and deploy those applications. You will also learn how to build a JavaScript-based front-end for your application, using TypeScript and React. From there, we dive into commercial cloud offerings by covering AWS. Finally, we conclude our book by providing some overviews of other concepts and technologies that you can explore, to move from where the book leaves off. What you will learn Understand modern software applications architectures Build secure microservices that can effectively communicate with other services Get to know about event-driven architectures by diving into message queues such as Kafka, Rabbitmq, and AWS SQS. Understand key modern database technologies such as MongoDB, and Amazon’s DynamoDB Leverage the power of containers Explore Amazon cloud services fundamentals Know how to utilize the power of the Go language to access key services in the Amazon cloud such as S3, SQS, DynamoDB and more. Build front-end applications using ReactJS with Go Implement CD for modern applications Who this book is for This book is for developers who want to begin building secure, resilient, robust, and scalable Go applications that are cloud native. Some knowledge of the Go programming language should be sufficient.To build the front-end application, you will also need some knowledge of JavaScript programming.
Production Ready Python
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Author : John C Avila
language : en
Publisher: Independently Published
Release Date : 2025-10-11
Production Ready Python written by John C Avila and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-11 with Computers categories.
Production-Ready Python: Deploy, Scale, and Automate Resilient Applications with Docker, Kubernetes, and Cloud Infrastructure Modern Python systems run in distributed, containerized, and automated environments. This book shows you how to take your Python applications from development to production with the reliability, scalability, and observability demanded by today's engineering standards. You will learn to build and operate production-grade Python services using Docker, Kubernetes, Terraform, and CI/CD pipelines. Through real-world examples, each chapter teaches you how to containerize your code, deploy at scale, automate workflows, and maintain reliability with modern cloud-native practices. What you will learn: Structure Python projects for modularity, scalability, and maintainability Build optimized Docker images and secure containerized workloads Deploy resilient applications on Kubernetes using manifests and Helm Automate build and release pipelines with GitHub Actions and GitLab CI Monitor and trace Python microservices using Prometheus, Grafana, and OpenTelemetry Manage secrets, credentials, and network security in production environments Apply Infrastructure as Code with Terraform for repeatable deployments Implement rollback, blue-green, and canary strategies safely This guide is written for Python developers, DevOps engineers, and cloud practitioners who want to bridge the gap between writing code and running reliable systems in production. Whether you are deploying APIs, background workers, or data pipelines, Production-Ready Python gives you the complete playbook to design, automate, and operate Python systems that perform under real-world workloads.
Python For Continuous Delivery And Application Security
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Author : Manish Sethi
language : en
Publisher:
Release Date : 2017
Python For Continuous Delivery And Application Security written by Manish Sethi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
"Businesses today are evolving so rapidly that having their own infrastructure to support their expansion is not feasible. As a result, they have been resorting to the elasticity of the cloud to provide a platform to build and deploy their highly scalable applications.This video will be the one stop for you to learn all about building cloud-native architectures in Python. It will begin by introducing you to cloud-native architecture and will help break it down for you. Then you'll learn how to build microservices in Python using REST APIs in an event driven approach and you will build the web layer. Next, you'll learn about Interacting data services and building Web views with React, after which we will take a detailed look at application security and performance. Then, you'll also learn how to Dockerize your services. And finally, you'll learn how to deploy the application on the AWS and Azure platforms. We will end the video by discussing some concepts and techniques around troubleshooting problems that might occur with your applications after you've deployed them. This video will teach you how to craft applications that are built as small standard units, using all the proven best practices and avoiding the usual traps. It's a practical video: we're going to build everything using Python 3 and its amazing tooling ecosystem. The video will take you on a journey, the destination of which, is the creation of a complete Python application based on microservices over the cloud platform."--Resource description page.
Mastering Data Structures With Python
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Author : Aditya Pratap Bhuyan
language : en
Publisher: Aditya Pratap Bhuyan
Release Date : 2024-09-14
Mastering Data Structures With Python written by Aditya Pratap Bhuyan and has been published by Aditya Pratap Bhuyan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-14 with Computers categories.
"Mastering Data Structures with Python: A Practical Guide" offers a comprehensive journey through the essential concepts of data structures, all within the practical framework of Python. Designed for both beginners and experienced programmers, this book provides a thorough understanding of the data structures that are critical to writing efficient, high-performance algorithms. The book begins with a solid introduction to fundamental data structures like arrays, linked lists, stacks, and queues, before moving on to more complex structures such as trees, graphs, and heaps. Each data structure is broken down with easy-to-understand explanations, step-by-step walkthroughs, and Python code examples that bring theory to life. The clear, practical approach ensures that readers can apply what they've learned in real-world programming situations. In addition to covering these essential structures, the book also focuses on the efficiency and performance of algorithms, teaching you how to analyze time and space complexity using Big O notation. This understanding is crucial for writing code that scales and performs well under pressure, a skill that's highly sought after in technical interviews and real-world development. The book goes beyond theory, showcasing real-world applications of data structures in Python, such as how to use them to optimize search algorithms, build complex networks, and manage large datasets. With a focus on practical problem-solving, you'll also learn tips and tricks for optimizing code, managing memory efficiently, and implementing the right data structures for various tasks. Whether you’re a student preparing for coding interviews, a developer wanting to sharpen your skills, or simply curious about data structures, "Mastering Data Structures with Python" serves as a valuable guide. It’s not just about learning Python—it’s about mastering the art of programming itself.
Clean Architecture With Python
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Author : Sam Keen
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-06-20
Clean Architecture With Python written by Sam Keen and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-20 with Computers categories.
Future-proof your Python projects by creating flexible code that adapts to changing requirements with the help of this hands-on guide to achieving Clean Architecture Key Features Learn Clean Architecture through a series of real-world, code-centric examples and exercises Optimize system componentization, significantly reducing maintenance burden and overall complexity Apply Clean Architecture concepts confidently to new Python projects and legacy code refactoring Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn the rapidly evolving tech industry, software applications struggle to keep pace with changing business needs, leaving developers grappling with complex codebases that resist change, ultimately reducing productivity and increasing technical debt. Clean Architecture with Python offers a powerful approach to address these challenges. Drawing from his extensive experience architecting cloud-native systems, Sam Keen helps you transform complex architectural challenges into digestible, implementable solutions. This book teaches essential principles for effective development, emphasizing the Pythonic implementation of Clean Architecture. Through practical examples, you'll learn how to create modular, loosely coupled systems that are easy to understand, modify, and extend. The book covers key concepts such as the Dependency Rule, separation of concerns, and domain modeling, all tailored for Python development. By the end of this book, you'll be able to apply Clean Architecture principles effectively in your Python projects. Whether you're building new systems or managing existing ones, you'll have the skills to create more maintainable and adaptable applications. This approach will enhance your ability to respond to changing requirements, setting you up for long-term success in your development career.What you will learn Apply Clean Architecture principles idiomatically in Python Implement domain-driven design to isolate core business logic Apply SOLID principles in a Pythonic context to improve code quality Structure projects for maintainability and ease of modification Develop testing techniques for cleanly architected Python applications Refactor legacy Python code to adhere to Clean Architecture principles Design scalable APIs and web applications using Clean Architecture Who this book is for If you're a Python developer struggling with maintaining and extending complex codebases, this book is for you. It's ideal for intermediate developers looking to enhance their architectural skills as well as senior developers seeking to formalize their knowledge of Clean Architecture in Python. While beginners can benefit, prior experience with Python and object-oriented programming is recommended.
Hands On Python For Devops
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Author : Ankur Roy
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-03-15
Hands On Python For Devops written by Ankur Roy and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-15 with Computers categories.
Unleash DevOps excellence with Python and its ecosystem of tools for seamless orchestration on both local and cloud platforms, such as GCP, AWS, and Azure Key Features Integrate Python into DevOps for streamlined workflows, task automation, and improved collaboration Combine the principles of Python and DevOps into a unified approach for problem solving Learn about Python’s role in Infrastructure as Code (IaC), MLOps, networking, and other domains Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionPython stands out as a powerhouse in DevOps, boasting unparalleled libraries and support, which makes it the preferred programming language for problem solvers worldwide. This book will help you understand the true flexibility of Python, demonstrating how it can be integrated into incredibly useful DevOps workflows and workloads, through practical examples. You'll start by understanding the symbiotic relation between Python and DevOps philosophies and then explore the applications of Python for provisioning and manipulating VMs and other cloud resources to facilitate DevOps activities. With illustrated examples, you’ll become familiar with automating DevOps tasks and learn where and how Python can be used to enhance CI/CD pipelines. Further, the book highlights Python’s role in the Infrastructure as Code (IaC) process development, including its connections with tools like Ansible, SaltStack, and Terraform. The concluding chapters cover advanced concepts such as MLOps, DataOps, and Python’s integration with generative AI, offering a glimpse into the areas of monitoring, logging, Kubernetes, and more. By the end of this book, you’ll know how to leverage Python in your DevOps-based workloads to make your life easier and save time.What you will learn Implement DevOps practices and principles using Python Enhance your DevOps workloads with Python Create Python-based DevOps solutions to improve your workload efficiency Understand DevOps objectives and the mindset needed to achieve them Use Python to automate DevOps tasks and increase productivity Explore the concepts of DevSecOps, MLOps, DataOps, and more Use Python for containerized workloads in Docker and Kubernetes Who this book is for This book is for IT professionals venturing into DevOps, particularly programmers seeking to apply their existing programming knowledge to excel in this field. For DevOps professionals without a coding background, this book serves as a resource to enhance their understanding of development practices and communicate more effectively with developers. Solutions architects, programmers, and anyone regularly working with DevOps solutions and Python will also benefit from this hands-on guide.