Its asynchronous nature allows a single process to handle thousands of concurrent connections.
A distributed system consists of multiple nodes, each of which can be a separate computer or process. These nodes communicate with each other using a network, and they work together to achieve a common goal. The architecture of a distributed system typically includes the following components:
: Thomas Hunter II hosts a summary and additional resources on his personal site. Distributed Systems with Node.js [Book] - O'Reilly
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Node.js operates on a single-threaded event loop per process. While this simplifies state management within a single instance, distributing your application across multiple servers means you can no longer rely on in-memory variables to share state. State must be externalized to distributed databases or caching layers. Data Consistency
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: Isolating logic at a service level to make the system easier to test and maintain. 3. Key Communication Protocols Its asynchronous nature allows a single process to
This comprehensive guide explores how to design, build, and maintain distributed systems using Node.js. Why Choose Node.js for Distributed Systems?
: You’ll find deep dives into protocols (HTTP, gRPC) and messaging patterns (Pub/Sub) that allow independent services to talk to each other.
Distributed systems rely heavily on network calls (REST, gRPC, WebSockets). Node.js’s non-blocking nature means a single thread can handle thousands of concurrent connections without waiting for database or API responses. This is ideal for an API Gateway or a Message Broker . The architecture of a distributed system typically includes
In a distributed setup, managing data becomes complex. You must choose between SQL databases with replication or NoSQL databases like or Cassandra that inherently support horizontal sharding. Additionally, distributed caching layers using Redis are vital for reducing database load and sharing session states across multiple Node.js nodes. 4. Service Discovery and Health Checks
Node.js is a popular choice for building distributed systems due to its: