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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-complete-python-microservices/
课程评论：没有评论
课程名称：Python 微服务基础 课程概述： Python 微服务是一种架构风格，将应用程序结构化为一系列松耦合的服务，每个服务代表特定的业务能力。由于 Python 的简单性、可读性和丰富的库生态，微服务在该语言中越来越受欢迎。每个微服务独立运行，并通过网络与其他服务进行通信，通常使用 HTTP 或消息协议。 在 Python 微服务架构中，每个服务都可以独立开发、部署和维护。这种隔离允许团队在不同服务上工作，而无需担心影响系统的其他部分。微服务的一个关键优势是可扩展性，服务可以根据具体的负载需求单独扩展，而不必像单体应用那样扩展整个应用程序。 Flask 和 FastAPI 是构建微服务 RESTful API 的两种流行轻量级网络框架。Python 的简单性、广泛的库支持以及与现代云原生工具的轻松集成，使其成为构建微服务架构的优秀选择。Python 支持多种方法，包括同步的 HTTP 请求和异步的消息队列，如 RabbitMQ 和 Kafka。 总之，该课程将帮助学习者掌握使用 Python 构建和管理微服务的基本知识与技能。
Python Microservices are an architectural style that structures an application as a collection of loosely coupled services, each of which represents a specific business capability. In Python, microservices have gained popularity due to the language's simplicity, readability, and vast ecosystem of libraries. Each microservice operates independently and communicates with other services over a network, typically through HTTP or messaging protocols. Python has libraries such as Prometheus for monitoring and OpenTelemetry for tracing, which help developers track the health and performance of their services.Python microservices architecture, each service is developed, deployed, and maintained independently. This isolation allows teams to work on different services without worrying about breaking other parts of the system. The microservices paradigm contrasts with monolithic applications, where all functionality is built into a single, large codebase. One key advantage of microservices is scalability. Services can be scaled individually based on their specific load requirements rather than scaling the entire application, as is often necessary with monoliths. Flask and FastAPI are two popular lightweight web frameworks used to build RESTful APIs for microservices. Python's simplicity, wide library support, and ease of integration with modern cloud-native tools make it an excellent choice for building microservices architectures. Python supports several methods, including synchronous HTTP requests and asynchronous message queues like RabbitMQ and Kafka.
