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Apache Kafka – Loosely Coupled and Highly Cohesive Microservices
Adopting a microservices architecture is entirely realized by adequately designing the relationship between its components. One of the worst integration patterns is point-to-point connectivity, which is used by any microservice that directly calls services from other services. This integration method leads to tight functional coupling and no interface abstraction.
When working on big projects or enterprise-level ecosystems, our first priority is to switch to an event-driven design. Kafka is the most excellent possible base for it. As a result, we may use related design concepts like eventual consistency and command query isolation.
Microservices with little functional coupling are ideal from an architectural perspective since they can be independently updated and deployed. These patterns aren’t just lovely to have from a technical standpoint; they also greatly benefit the company by shortening the time it takes to get a product to market via reduced implementation and testing times.
Regarding development efficiency, Kafka’s patterns help organize parallel development for many domains and services by specifying the event contracts before coding. It is feasible to begin constructing the actual events and flow across Kafka topics once the real events are accessible. The resulting choreography of events allows for flexible business scenarios to be implemented while maintaining a loosely linked but unified system.
Kafka’s pub-sub and streaming features may be used in various architectural styles and applications. The following are those:
- Microservices choreography and orchestration
- Event-driven architecture
- Capture and analyse data from IoT devices or other equipment
- Eventual consistency
- Process payments and other business transactions in real-time
- Stream processing and data transformation
- Event sourcing and log aggregation