Go

The Supervisor-Worker pattern distributes tasks to multiple worker goroutines, managed by a supervisor. The supervisor receives tasks from a channel, dispatches them to available workers, and collects results. This pattern enhances concurrency and responsiveness by preventing the main goroutine from blocking on …

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The Master-Slave pattern distributes work to multiple worker nodes (slaves) from a central coordinator (master). The master assigns tasks, and slaves execute them independently, reporting results back to the master. This improves parallelism and scalability.

This Go implementation uses goroutines for the slaves and …

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The Publish-Subscribe (Pub/Sub) pattern enables decoupling of message senders (publishers) and message receivers (subscribers). Publishers emit events without knowing who, if anyone, is listening. Subscribers express interest in specific events and are notified when those events occur. This promotes loose coupling, …

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The Blackboard pattern provides a shared memory (the “blackboard”) that different knowledge sources (independent components) can read and write to achieve a common goal. Each knowledge source monitors the blackboard for information it can use or modify, triggering its associated action when conditions are met. This …

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The Pipes and Filters pattern is a design pattern where data is processed through a series of independent processing components (filters) connected by channels (pipes). Each filter performs a specific transformation on the data and passes the result to the next filter. This promotes modularity, reusability, and …

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The Cluster-based Architecture pattern distributes application components across multiple interconnected nodes (a “cluster”) to improve scalability, reliability, and resource utilization. This allows for handling increased load and provides redundancy in case of failures.

This Go example simulates a simple …

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The Shared-Nothing architecture is a distributed computing paradigm where each node in the system has its own private resources (CPU, memory, disk) and communicates with other nodes via network messages. There is no shared memory or shared storage. This promotes scalability and fault tolerance.

This Go example …

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The Message Broker pattern decouples application components by allowing them to communicate via intermediary message queues. Publishers send messages to a topic (or exchange) without knowing about subscribers. Subscribers express interest in specific topics and receive messages as they arrive. This promotes scalability …

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The Space-Based Architecture pattern structures an application as a collection of independent, loosely coupled services (spaces) that communicate via well-defined interfaces. Each space encapsulates specific business functionality and manages its own data. This promotes modularity, scalability, and independent …

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The Event-Driven Architecture (EDA) decouples components by allowing them to communicate through events. Components (event producers) emit events without knowing who will handle them, and other components (event consumers) subscribe to events they’re interested in. This promotes scalability and flexibility.

This …

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