Today, we're diving into nine essential software architecture patterns for distributed systems that every developer should know—especially if you're prepping for system design interviews. The article explains how these patterns, from Peer-to-Peer and API Gateway to Event Sourcing and Streaming Processing, help manage data and communication flow, ensuring reliability, scalability, and maintainability. It also highlights that "in short, the effective management of data and communication flow is critical for building robust and scalable distributed systems," a key takeaway for anyone designing modern applications. Plus, if you're looking to sharpen your system design skills, check out top resources like ByteByteGo, Design Guru, Exponent, Educative, Codemia.io, and Udemy. Key Points: Peer-to-Peer (P2P) Pattern: Enables direct communication between nodes, making it ideal for file sharing systems, decentralized applications, and blockchain networks. API Gateway Pattern: Acts as a unified entry point for handling client requests, simplifying interactions by merging multiple APIs and supporting security measures. Pub-Sub (Publish-Subscribe): Decouples message producers and consumers using brokers like Kafka or RabbitMQ, ideal for real-time messaging and event-driven architectures. Request-Response Pattern: The classic synchronous model where the client sends requests and awaits responses, common in web apps and RESTful APIs. Event Sourcing Pattern: Stores application state as immutable events rather than static data, enhancing auditability and state reconstruction. ETL (Extract, Transform, Load) Pattern: A data integration framework that efficiently extracts, transforms, and loads data for business intelligence and analytics. Batching Pattern: Improves processing efficiency by aggregating operations into batches, reducing overhead in data pipelines. Streaming Processing Pattern: Handles continuous, real-time data streams with low latency, perfect for applications in finance, IoT, and cybersecurity. Orchestration Pattern: Coordinates interactions between distributed components to manage complex workflows, ensuring efficient task execution. Additional Resources for System Design Interviews: ByteByteGo: A comprehensive resource for system design interviews with courses and a live book by Alex Xu. Design Guru & Exponent: Offers interactive courses and curated problem sets to solidify your understanding of system design. Other Recommendations: Check out "System Design Interview" by Alex Xu, "Designing Data-Intensive Applications" by Martin Kleppmann, LeetCode's system design tag, and the "System Design Primer" on GitHub. Online Platforms: Educative, Codemia.io, and Udemy provide structured courses—along with insightful videos on channels like Gaurav Sen and Tech Dummies. This summary empowers you with a quick yet comprehensive view of the architectural strategies that underpin robust and scalable distributed systems, making it an excellent guide for both practical applications and interview preparation. Enjoy your journey into distributed systems!Link to Article