Latest Event-Driven-Architecture Articles

Event-driven architecture allows distributed components to communicate by publishing facts about completed business actions. Instead of calling every dependent service directly, a service publishes an event such as order.created , payment.completed , or shipment.delivered . Other services process th

Message processing does not always succeed on the first attempt. A database may be temporarily unavailable, an external API may return a rate-limit response, a network request may time out, or a message may contain invalid data that can never be processed successfully. Reliable messaging systems mus

Distributed applications often need to update a database and publish a message as part of one business operation. An order service may save a confirmed order and publish an order.confirmed event. A payment service may record a successful charge and notify fulfilment. If one action succeeds while the

Message queues help distributed systems process work asynchronously, absorb traffic spikes, isolate failures, and decouple producers from consumers. They are commonly used for background jobs, order processing, notifications, logistics workflows, data pipelines, payments, and communication between m

Kafka makes it possible to connect services through durable event streams instead of synchronous request chains. The difficult part is not publishing records; it is deciding what should be an event, who owns it, how services change state safely, how failures are retried, and how schemas evolve witho

Modern applications often need to perform work that should not block the main request. An order service may need to reserve inventory, send a confirmation email, update analytics, and notify a warehouse. Executing every operation synchronously increases response time and creates direct dependencies

A notification system delivers messages to users through channels such as mobile push, email, and SMS. Sending one notification is straightforward. Sending millions reliably becomes a distributed-systems problem involving asynchronous processing, fan-out, user preferences, provider rate limits, retr

Apache Kafka is a distributed event-streaming platform designed for moving large volumes of records between systems while keeping those records durable, ordered within defined boundaries, and available for later replay.