Microservices with Event-Driven Architecture.
The event-driven architecture separates the microservices by using events to pass across the pub/sub networks. This helps to build a fault-tolerant and highly scalable system. When it comes to processing enormous throughput, measured in tens of millions of events per second, EDA relies on solid messaging systems such as Kafka, Pulsar, and NATS. When it comes to separating reads from writes, this is where CQRS comes in. When it comes to handling complex transactions, this is where sagas come in. Projections indicate that by 2026, 75% of Fortune 500 companies are likely to use EDA to reduce latency by 60%. Outbox is still one of the most popular methods of producing events.
EDA Principles
- Events as Source
- Polyglot Persistence
- Consumer Groups
- Exactly-Once
Tech Stack
- Notes: EDA makes use of Node.js for event production and Django for event processing.
Architecture Benefits
- Resilience
- Scalability
- Flexibility
- Evolvability
Implementation
- Patterns: EDA makes use of event sourcing and stream processing, including Kafka, Flink, and reactive manifests.
- Challenges Addressed: EDA makes use of timestamps to ensure events are processed in the correct order, while the outbox pattern is used to handle dual writes.
Conclusion
By 2026, EDA makes use of the microservices approach to help build autonomous systems. Visualization is made possible by React.js, while Node.js makes use of EDA for event production. On the other hand, EDA makes use of Django for event processing, while Laravel makes use of Java Spring Boot for lightweight consumers and brokers. EDA makes use of scalable systems, and there are no boundaries to scalability.
