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                                                            image credit Kafka 1. What is Kafka? Kafka is a distributed event streaming platform designed for high-throughput, fault-tolerant, real-time data streaming. It is used for publish-subscribe messaging, event sourcing, log processing, and real-time analytics . Key Features: Scalability : Distributes data across multiple brokers. Durability : Stores data persistently. High Throughput : Handles millions of messages per second. Fault Tolerance : Replicates data across nodes. Core Components: Producers : Send messages (events) to Kafka. Topics : Logical channels where messages are stored. Partitions : Sub-divisions of topics for parallel processing. Consumers : Read messages from topics. Brokers : Kafka se...

  Developing Microservices with Python, REST API, Nginx, and Kafka (End-to-End) Here's a step-by-step guide to developing microservices with the mentioned technologies: 1. Define Your Microservices: Break down Functionality: Identify distinct functionalities within your application that can be independent services. These services should have well-defined APIs for communication. Example: If you're building an e-commerce application, separate services could manage user accounts, products, orders, and payments. 2. Develop Python Microservices with RESTful APIs: Choose a Python framework: Popular options include Flask, FastAPI, and Django REST Framework. Develop each microservice as a separate Python application with clearly defined endpoints for API calls (GET, POST, PUT, DELETE). Use libraries like requests for making API calls between services if needed. Implement data persistence for each service using databases (e. g., PostgreSQL, MongoDB) or other ...