๐—˜๐˜ƒ๐—ฒ๐—ป๐˜-๐——๐—ฟ๐—ถ๐˜ƒ๐—ฒ๐—ป ๐—”๐—ฟ๐—ฐ๐—ต๐—ถ๐˜๐—ฒ๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ ๐—˜๐˜…๐—ฝ๐—น๐—ฎ๐—ถ๐—ป๐—ฒ๐—ฑ

Software systems often fail when they are too tightly connected. If one part breaks, everything breaks. This is called spaghetti code.

Event-Driven Architecture solves this. Instead of services talking directly to each other, they talk through events.

An event is a piece of news. It is a statement that something happened, like "Order Created" or "Payment Success."

Here is how to choose the right tool for your events:

๐—ฅ๐—ฒ๐—ฑ๐—ถ๐˜€ ๐—ฃ๐˜‚๐—ฏ/๐—ฆ๐˜‚๐—ฏ: ๐—ง๐—ต๐—ฒ ๐—™๐—  ๐—ฅ๐—ฎ๐—ฑ๐—ถ๐—ผ It broadcasts messages instantly. If you are not listening when the message plays, you miss it forever. It does not store data.

๐—ฅ๐—ฎ๐—ฏ๐—ฏ๐—ถ๐˜๐— ๐—ค: ๐—ง๐—ต๐—ฒ ๐——๐—ฒ๐—น๐—ถ๐˜ƒ๐—ฒ๐—ฟ๐˜† ๐—ฆ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฐ๐—ฒ It acts like a post office. It stores your message in a queue until a worker picks it up. Once the worker finishes the task, the message is deleted.

๐—ž๐—ฎ๐—ณ๐—ธ๐—ฎ: ๐—ง๐—ต๐—ฒ ๐—Ÿ๐—ถ๐—ฏ๐—ฟ๐—ฎ๐—ฟ๐˜† It stores events in a permanent notebook called a topic. Many different services can read the same notebook at their own pace. You can even go back and reread old pages.

Summary guide for your next project:

โ€ข Need message history? Use Kafka. โ€ข Multiple services need the same data? Use Kafka. โ€ข Need a reliable task queue? Use RabbitMQ. โ€ข Need instant, real-time updates? Use Redis.

Start simple. Use Redis for speed. Move to RabbitMQ for reliability. Scale to Kafka for massive history and complexity.

Source: https://dev.to/surajrkhonde/event-driven-architecture-uncle-explains-like-youre-five-4aaj