API Driven Application Infrastructure by Brij Kishore
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The following diagram provides a high-level overview of a microservices architecture for a web application:📱 𝗪𝗲𝗯/𝗠𝗼𝗯𝗶𝗹𝗲 𝗔𝗽𝗽: The front-end of the application where users engage directly. This can be a browser-based web application or a native mobile application. It communicates with the backend through the API gateway.
🚪 𝗔𝗣𝗜 𝗚𝗮𝘁𝗲𝘄𝗮𝘆: An entry point for the application's backend. This component typically manages request routing, authentication, rate limiting, and other cross-cutting concerns. Essentially, it functions as a reverse proxy, directing requests to the relevant services.
🔀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗟𝗮𝘆𝗲𝗿: Here, you'll often find business logic, especially when various microservices and external services come into play. This layer orchestrates calls to different services, manages data transformations, and facilitates communication between components.
🛠 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀: These represent small, autonomous services that oversee specific chunks of business logic or domain functionality. Each microservice ideally has its standalone database for decoupling, scalability, and maintainability, allowing them to be developed, deployed, and scaled independently.
🗃 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 (𝗗𝗕): This refers to persistent storage for application data. In line with the microservices paradigm, each microservice would optimally have its own database to maintain data integrity for its specific domain.
𝗢𝘁𝗵𝗲𝗿 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀:
In addition to the diagram's components, several other components might find use in a microservices architecture, such as:
🌐 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗠𝗲𝘀𝗵: A service mesh offers service discovery, load balancing, and fault tolerance features for microservices.
🖥 𝗖𝗲𝗻𝘁𝗿𝗮𝗹𝗶𝘇𝗲𝗱 𝗟𝗼𝗴𝗴𝗶𝗻𝗴 𝗮𝗻𝗱 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴: A centralized system for logging and monitoring to monitor application health and performance.
⚡ 𝗖𝗗𝗡 (𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆 𝗡𝗲𝘁𝘄𝗼𝗿𝗸): A CDN enhances application performance by caching static content at edge locations.
⚖️ 𝗟𝗼𝗮𝗱 𝗕𝗮𝗹𝗮𝗻𝗰𝗲𝗿𝘀: These help distribute incoming traffic across multiple servers, boosting performance and reliability.
💾 𝗖𝗮𝗰𝗵𝗶𝗻𝗴: Caching stores frequently accessed data in memory to elevate application performance.
🚪 𝗔𝗣𝗜 𝗚𝗮𝘁𝗲𝘄𝗮𝘆: An entry point for the application's backend. This component typically manages request routing, authentication, rate limiting, and other cross-cutting concerns. Essentially, it functions as a reverse proxy, directing requests to the relevant services.
🔀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗟𝗮𝘆𝗲𝗿: Here, you'll often find business logic, especially when various microservices and external services come into play. This layer orchestrates calls to different services, manages data transformations, and facilitates communication between components.
🛠 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀: These represent small, autonomous services that oversee specific chunks of business logic or domain functionality. Each microservice ideally has its standalone database for decoupling, scalability, and maintainability, allowing them to be developed, deployed, and scaled independently.
🗃 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 (𝗗𝗕): This refers to persistent storage for application data. In line with the microservices paradigm, each microservice would optimally have its own database to maintain data integrity for its specific domain.
𝗢𝘁𝗵𝗲𝗿 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀:
In addition to the diagram's components, several other components might find use in a microservices architecture, such as:
🌐 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗠𝗲𝘀𝗵: A service mesh offers service discovery, load balancing, and fault tolerance features for microservices.
🖥 𝗖𝗲𝗻𝘁𝗿𝗮𝗹𝗶𝘇𝗲𝗱 𝗟𝗼𝗴𝗴𝗶𝗻𝗴 𝗮𝗻𝗱 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴: A centralized system for logging and monitoring to monitor application health and performance.
⚡ 𝗖𝗗𝗡 (𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆 𝗡𝗲𝘁𝘄𝗼𝗿𝗸): A CDN enhances application performance by caching static content at edge locations.
⚖️ 𝗟𝗼𝗮𝗱 𝗕𝗮𝗹𝗮𝗻𝗰𝗲𝗿𝘀: These help distribute incoming traffic across multiple servers, boosting performance and reliability.
💾 𝗖𝗮𝗰𝗵𝗶𝗻𝗴: Caching stores frequently accessed data in memory to elevate application performance.
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