Top 5 Software Architecture Patterns for Distributed Systems

When designing distributed systems, you can leverage these 5 popular patterns:

1. Request-Response Pattern: This fundamental pattern involves a client sending a request to a server and awaiting a response. It's widely used in web applications and RESTful APIs. The synchronous nature ensures predictable behavior and good error handling.

2. Batching Pattern: This involves accumulating data before processing it as a single unit. It reduces overhead and improves efficiency in data processing pipelines. Batching is commonly used in data ingestion and distributed computing frameworks.

3. Streaming Processing Pattern: This pattern enables real-time processing of continuous data streams. Unlike batch processing, it handles data with low latency as it arrives. It's used in finance, IoT, and cybersecurity for real-time analytics.

4. Pub-Sub (Publish-Subscribe): This pattern decouples message producers from consumers using a message broker like Kafka or RabbitMQ. Publishers broadcast messages to topics, while subscribers receive relevant messages asynchronously. It's great for real-time messaging and event-driven microservices.

5. Peer-to-Peer (P2P) Pattern: This decentralized model allows direct communication between components without a central coordinator. Each node acts as both client and server, making it ideal for file sharing systems and blockchain networks.