Scalable python applications architecture par colebrook raymond (6 résultats)

Taschenbuch. Etat : Neu. Neuware - Python Architecture Patterns: Designing Scalable Applications is a practical guide for developers, software engineers, architects, and technical leaders who want to move beyond writing code and start designing robust software systems. Through real-world examples, proven architectural patterns, and production-focused techniques, you'll learn how successful Python applications are structured-from startup MVPs to enterprise-scale platforms.Whether you're building web applications, APIs, microservices, data platforms, automation systems, or cloud-native solutions, this book provides the architectural foundations needed to create software that is easier to test, extend, deploy, and maintain.Inside, you'll discover how to: - Apply layered, hexagonal, clean, and domain-driven architectures in Python- Design loosely coupled systems using dependency injection and inversion of control- Implement Repository, Unit of Work, Service Layer, and Factory patterns effectively- Build scalable APIs and backend services with maintainability in mind- Structure large codebases for long-term growth and team collaboration- Separate business logic from infrastructure and framework dependencies- Design event-driven architectures and asynchronous processing workflows- Create resilient microservices and distributed systems architectures- Improve testability through architectural boundaries and abstractions- Integrate databases, messaging systems, caching layers, and external services cleanly- Apply CQRS, Event Sourcing, and modern enterprise design principles- Optimize performance, reliability, observability, and operational scalability- Refactor legacy applications into maintainable, modular architectures- Deploy cloud-ready Python systems using modern DevOps practicesPacked with practical examples, architectural diagrams, implementation strategies, and industry best practices, this book bridges the gap between theory and real-world software engineering. Each chapter demonstrates how architectural decisions impact scalability, maintainability, security, and developer productivity. …

Taschenbuch. Etat : Neu. Neuware - Python is one of the world's most popular programming languages, powering everything from web applications and cloud services to AI platforms and enterprise systems. But building software that works is only the beginning. The real challenge is creating applications that remain fast, maintainable, secure, and dependable as users, data, and complexity increase.Scalable Python Applications: Architecture and Performance Strategies is a practical, hands-on guide for developers, software engineers, architects, and technology leaders who want to design high-performance Python systems capable of handling real-world demands. Whether you're developing APIs, microservices, data-intensive platforms, SaaS products, or distributed applications, this book provides the proven architectural patterns and optimization techniques used by experienced engineering teams.Moving beyond basic coding tutorials, this comprehensive resource explores the principles behind scalable software design and demonstrates how to apply them effectively in modern Python environments. You'll learn how to structure applications for long-term growth, eliminate performance bottlenecks, optimize resource usage, and build resilient systems that thrive under increasing workloads.Inside this book, you'll discover how to: - Design scalable Python architectures for long-term maintainability- Apply proven software design patterns and architectural principles- Build modular, testable, and loosely coupled applications- Create high-performance APIs and backend services- Optimize CPU, memory, and I/O-intensive workloads- Improve database efficiency through indexing, caching, and query optimization- Implement asynchronous programming using AsyncIO and modern concurrency models- Leverage multithreading and multiprocessing effectively- Design and deploy microservices-based systems with confidence- Build event-driven and message-oriented architectures- Integrate caching strategies for maximum performance gains- Scale applications horizontally and vertically in cloud environments- Monitor application health, metrics, and performance in production- Detect, analyze, and resolve bottlenecks before they impact users- Improve reliability with fault tolerance and resilience patterns- Implement load balancing and traffic distribution techniques- Secure scalable applications using modern best practices- Develop comprehensive testing and performance benchmarking workflows- Deploy containerized Python applications using Docker and orchestration platforms- Create scalable CI/CD pipelines for continuous delivery- Apply real-world performance tuning strategies used by successful engineering teamsThrough practical examples, architectural diagrams, performance case studies, and actionable guidance, you'll gain the knowledge needed to transform ordinary Python projects into enterprise-grade systems capable of supporting thousands-or even millions-of users.…

Taschenbuch. Etat : Neu. Neuware - In Advanced Python Systems Architecture, you'll go far beyond basic application development and learn how modern high-performance systems are designed in the real world. This practical, hands-on guide teaches you how to architect production-grade Python applications using proven software engineering principles, scalable design patterns, distributed systems thinking, and modern cloud-native practices.Whether you are building APIs, microservices, event-driven platforms, backend infrastructure, or enterprise applications, this book gives you the architectural mindset and technical depth needed to design systems that survive growth, scale under pressure, and remain maintainable over time.Inside the book, you'll learn how to: - Design scalable and modular Python applications- Apply clean architecture and domain-driven design principles- Build resilient APIs, asynchronous systems, and distributed services- Optimize performance, concurrency, caching, and database access- Structure large codebases for long-term maintainability- Use message queues, background workers, and event-driven workflows- Design fault-tolerant systems with observability and monitoring in mind- Deploy modern Python systems using containers, CI/CD, and cloud infrastructure- Improve reliability with testing strategies, logging, tracing, and automation- Make better architectural decisions using real-world trade-offs and case studiesUnlike beginner Python books that focus only on syntax, this book concentrates on engineering production-ready systems using modern architectural practices inspired by real software teams and scalable platforms. Each chapter combines practical explanations, realistic examples, and hands-on techniques that can be applied immediately to professional projects.Perfect for intermediate and advanced Python developers, software engineers, backend developers, tech leads, and system architects looking to strengthen their architecture and systems design skills with Python.…

Etat : New. Print on Demand.

Etat : New. Print on Demand.

Etat : New. Print on Demand.