Scala

The Master-Slave pattern distributes work to worker nodes (slaves) from a central coordinator (master). The master assigns tasks, and slaves execute them independently, returning results to the master. This example uses Scala Actors to implement the pattern. The Master actor receives tasks and distributes them to …

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The Publish-Subscribe (Pub/Sub) pattern decouples message publishers from message subscribers. Publishers don’t know who their subscribers are, and subscribers only know about the channels they’re interested in, not the publishers. This promotes loose coupling and scalability. Our Scala implementation uses …

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The Blackboard pattern is a computational architecture for solving problems with no pre-defined flow of control. Multiple independent knowledge sources (in this case, functions) observe a shared data structure (the “blackboard”) and contribute to solving a problem based on the data’s current state. …

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The Pipes and Filters pattern is a design pattern where a series of processing components (“filters”) are arranged in a sequence. Each filter receives data from a “pipe” (usually a simple data stream or collection), performs a specific transformation on it, and passes the result to the next …

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The Cluster-based Architecture pattern involves distributing application components across multiple machines (a cluster) to achieve scalability, fault tolerance, and high availability. In this Scala example, we simulate a simple cluster with worker nodes performing tasks and a master node distributing them. We use …

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The Shared-Nothing architecture is a distributed computing model where each node in the system has its own private resources – CPU, memory, and disk – and communicates with other nodes solely through message passing. This avoids contention for shared resources, enhancing scalability and fault tolerance.

This Scala …

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The Message Broker pattern decouples system components by enabling asynchronous communication through a central message bus. Components don’t directly interact; instead, they publish messages to topics/queues, and other components subscribe to those topics/queues to receive and process messages. This promotes …

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The Space-Based Architecture pattern decouples components of a system by using a message-based communication system, often referred to as a “space.” Components interact by sending and receiving messages without direct knowledge of each other. This promotes scalability, fault tolerance, and flexibility. In …

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The Event-Driven Architecture (EDA) decouples system 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, flexibility, …

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The Service-Oriented Architecture (SOA) pattern structures an application as a collection of loosely coupled, interoperable services. Each service encapsulates a specific business function and exposes it through a well-defined interface, typically a network protocol. This promotes modularity, reusability, and …

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