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Building Python Microservices with FastAPI: Build secure, scalable, and structured Python microservices from design concepts to infrastructure
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Building Python Microservices with FastAPI: Build secure, scalable, and structured Python microservices from design concepts to infrastructure
Discover the secrets of building Python microservices using the FastAPI framework
Building Python Microservices with FastAPI: Build secure, scalable, and structured Python microservices from design concepts to infrastructure
Artículo nº.: 71681519

Building Python Microservices with FastAPI: Build secure, scalable, and structured Python microservices from design concepts to infrastructure

Artículo nº.: 71681519

AWG 115

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Discover the secrets of building Python microservices using the FastAPI framework
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Lo que más destaca

Scalable Architecture
Learn to design microservices that grow with your project needs, ensuring optimal performance and resource management as your application scales.
Security Focus
Implement best practices in security to protect your microservices from vulnerabilities, ensuring user data and system integrity are maintained effectively.
Infrastructure Insights
Gain practical knowledge on deploying microservices, providing you with essential skills to manage and optimize your application's infrastructure efficiently.

Detalles del producto

Discover the power of Python microservices with FastAPI. Build secure and scalable microservices from design to infrastructure. Get the best deals at Ubuy Aruba.
  • Learn how to build Python microservices using the FastAPI framework
  • Provides definitions, illustrations, and implementation of real-world apps
  • Covers core details, advanced integration, and design-related topics
  • Imparts context, suggestions, and insights for actual projects
  • Explains how to build, deploy, and test microservices using FastAPI
  • Suitable for Python web developers and backend developers using Flask or Django
Publisher Packt Publishing
Publication date August 30, 2022
Language English
Print length 420 pages
ISBN-10 1803245964
ISBN-13 978-1803245966
Item Weight 1.58 pounds (720 grams)
Dimensions 7.5 x 0.95 x 9.25 inches (19.1 x 2.4 x 23.5 cm)

¿Quién debería comprarlo?

Suitable For
  • Aspiring Developers

    Ideal for beginners wanting to learn microservices architecture using Python and FastAPI. Strong focus on practical implementation.

  • Experienced Coders

    Beneficial for developers familiar with Python seeking to deepen their understanding of microservices and FastAPI capabilities.

  • Team Leaders

    Useful for project managers and team leaders aiming to implement scalable microservices architecture in their development teams.

Not Suitable For
  • Absolute Beginners

    Not suitable for those with no programming experience as it requires basic knowledge of Python and software development.

DESCRIPCIÓN DEL PRODUCTO

Building Python Microservices with FastAPI: Build secure, scalable, and structured Python microservices from design concepts to infrastructure

¿Tienes alguna consulta? Chatea con nosotros

Preguntas y respuestas de los clientes

  • Pregunta: What is FastAPI and why should I use it for building microservices?

    Respuesta: FastAPI is a modern web framework for Python that's designed for building APIs quickly and efficiently. It supports asynchronous programming and offers features like automatic OpenAPI documentation and data validation. Using FastAPI for microservices allows you to create secure and scalable applications with less code, which can lead to faster development cycles. For businesses, this means quicker iterations and the ability to respond to market needs efficiently.
  • Pregunta: What are the advantages of building microservices over monolithic architecture?

    Respuesta: Microservices architecture divides an application into smaller, independent services, enabling more manageable and scalable solutions. Each service can be developed, deployed, and scaled independently, which reduces the risk of complete system failures. This architecture is particularly beneficial for large projects or teams, allowing for parallel development and better resource allocation. For example, a team can update a single service without affecting others, facilitating continuous deployment.
  • Pregunta: How does the book 'Building Python Microservices with FastAPI' help developers?

    Respuesta: The book provides a comprehensive guide on designing, building, and deploying microservices using FastAPI. It covers essential topics such as application structure, security best practices, and infrastructure considerations, giving developers the knowledge to create robust and maintainable systems. By following the methodologies and examples in the book, developers can efficiently implement solutions that adhere to industry standards.
  • Pregunta: Can I integrate FastAPI with other technologies like Docker or Kubernetes?

    Respuesta: Yes, FastAPI integrates well with a variety of technologies including Docker and Kubernetes. Using Docker, you can create containerized applications that simplify deployment and scaling. Kubernetes can manage these containers, orchestrating their deployment and ensuring your services run reliably. This combination allows businesses to harness the benefits of cloud-native architectures, enabling flexibility and resilience in deployment.
  • Pregunta: Is FastAPI suitable for handling high-traffic applications?

    Respuesta: Absolutely! FastAPI is designed with performance in mind, leveraging Python's asynchronous capabilities to handle numerous requests concurrently. It is built on Starlette, which is known for its high performance. This makes FastAPI an excellent choice for applications that experience high traffic demands, providing a smooth user experience even under load. For instance, a fast-loading e-commerce site can benefit significantly from this feature.
  • Pregunta: What types of projects are best suited for FastAPI?

    Respuesta: FastAPI is particularly well-suited for building APIs and microservices, making it ideal for web applications, IoT devices, and data processing tools. It can efficiently handle RESTful and GraphQL APIs, making it versatile for various projects. A real-world example includes an analytics dashboard that requires real-time data fetching and presentation, where FastAPI’s capabilities come in handy.
  • Pregunta: How can I secure my FastAPI microservices?

    Respuesta: Securing your FastAPI microservices involves implementing authentication and authorization measures such as OAuth2, JWT tokens, and HTTPS. FastAPI simplifies these implementations with built-in utilities for managing security. For instance, you can protect sensitive endpoints by requiring authenticated access, ensuring that unauthorized users cannot interact with your services, which is crucial for safeguarding user data.
  • Pregunta: What kind of performance improvements can I expect using FastAPI?

    Respuesta: FastAPI boasts performance that is on par with Node.js and Go, making it one of the fastest Python frameworks available. Its lightweight nature combined with asynchronous support allows it to process requests rapidly, significantly reducing latency. Organizations looking to maximize user engagement and minimize wait times for their applications will find FastAPI to be an excellent choice for building efficient services.
  • Pregunta: Where can I buy 'Building Python Microservices with FastAPI' in Aruba?

    Respuesta: You can purchase 'Building Python Microservices with FastAPI' on Ubuy, a leading e-commerce platform that offers a wide range of products. Ubuy provides various payment options and a user-friendly shopping experience, making it easy for you to acquire the book and start enhancing your microservices skills with FastAPI.
  • Pregunta: Are there any prerequisites for learning FastAPI?

    Respuesta: While FastAPI is designed to be user-friendly, a basic understanding of Python and web development concepts is beneficial. Familiarity with RESTful design principles and API concepts can also enhance your learning experience. For new developers, starting with foundational Python programming courses can provide the necessary skills to utilize FastAPI effectively in building robust microservices.

Web Services Editorial Review

The book under review is a comprehensive guide to the FastAPI framework, aimed at individuals seeking to learn about building microservices applications. Many readers praised the author’s ability to simplify complex topics, making it accessible for newcomers. Through detailed explanations and hands-on examples, users found that the book effectively covers a variety of essential subjects including setting up FastAPI endpoints, utilizing decorators, connecting to relational and NoSQL databases, and securing REST APIs. The inclusion of real-life scenarios resonated well with readers, enabling them to visualize the implementation of microservices in practical applications, particularly in relation to integrating with platforms like Kafka, Neo4j, and GraphQL, as well as deployment via Docker. The structure and organization of the material were appreciated by those who enjoy a step-by-step learning approach, especially with the accompanying practice chapters that solidified their understanding. However, not all feedback was positive; some users felt the book was rushed and lacked logical organization, which led to confusion regarding the development process. Critiques pointed out that some areas were incomplete, requiring readers to refer externally to GitHub for missing code snippets and configurations. This left several readers feeling unprepared to independently build applications solely based on the book’s content, especially when compared to other texts on FastAPI they had encountered. Overall, this book stands as a valuable resource for learners and practitioners looking to deepen their understanding of FastAPI, despite some issues with content comprehensiveness and organization. **

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Ventajas

  • Simplifies complex topics related to FastAPI and microservices.
  • Hands-on examples and real-life scenarios enhance understanding.
  • Structured and organized layout aids in learning.
  • Includes practice chapters for skill application.
  • Covers a wide range of relevant subjects, including DB connections and API security.

Desventajas

  • Some users experienced a lack of organization and logical flow.

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Características y beneficios

  • Learn to implement REST APIs using FastAPI's built-in pydantic module and asyncio support
  • Build both asynchronous and synchronous RESTful services and microservices applications using FastAPI
  • Create data layers that can connect to both relational and NoSQL databases with FastAPI
  • Develop numerical and symbolic computations using FastAPI
  • Secure REST APIs built with FastAPI and apply microservices design patterns
  • This book is ideal for Python developers, advanced Python developers, and backend developers using Flask or Django

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