Behavioral Patterns

Distributed Cache

The Distributed Cache pattern addresses performance bottlenecks in applications that rely heavily on data retrieval. Instead of repeatedly querying a database or performing complex calculations on every request, frequently accessed data is stored in a fast, distributed key-value store. This reduces latency, increases …

Leader-Follower

behavioral concurrency

The Leader-Follower pattern is a concurrency pattern used to maintain data consistency across multiple nodes in a distributed system. One node is designated as the “leader” and is responsible for handling all write operations. Other nodes are “followers” that replicate the leader’s data …

Map-Reduce

behavioral parallelism data processing

Map-Reduce is a programming model and an associated implementation for processing and generating large datasets. It works by splitting the dataset into independent chunks, which are then processed in parallel by “map” functions. These map functions output key-value pairs. Subsequently, “reduce” …

Proactor

behavioral concurrency

The Proactor pattern is a concurrent design pattern that tackles the challenges of handling numerous asynchronous operations. It decouples the initiation of an asynchronous operation from its completion, allowing a single thread (the proactor) to manage multiple operations without blocking. When an operation completes, …

Shadow Deployment

behavioral deployment reliability

Shadow Deployment is a technique to test changes in a live production environment without impacting real users. It involves duplicating real production traffic to a new, “shadow” version of the application. This allows for observing the new system’s behavior under realistic load, identifying potential …

Supervisor-Worker

behavioral concurrency

The Supervisor-Worker pattern addresses the challenges of managing and maintaining long-running processes or tasks. A Supervisor component is responsible for monitoring and controlling one or more Worker components. The Workers perform the actual work, while the Supervisor ensures that Workers stay alive, restarts …

Data Mapper

behavioral ORM

The Data Mapper pattern addresses the impedance mismatch between an object-oriented domain model and a relational database. It acts as a mediator, transferring data between these two representations without exposing the database structure to the domain layer. This separation allows the domain model to evolve …

Canary Release

behavioral deployment reliability

The Canary Release pattern is a deployment strategy where a new version of software is rolled out to a small subset of users or servers before being made available to the entire infrastructure. This allows for real-world testing of the new version with minimal impact, enabling teams to detect and address any unforeseen …

Parallel Change

behavioral concurrency

The Parallel Change pattern addresses the challenge of maintaining data consistency across multiple, independent systems when changes need to be applied to all of them simultaneously. Instead of a centralized orchestration, each system applies the change independently and then communicates with the others to reconcile …

Read-Through Cache

behavioral caching

The Read-Through Cache pattern addresses the performance bottleneck of frequent data access from a slow data source (like a database or remote API). It introduces a cache layer that sits between the client and the data source. When a client requests data, the cache is consulted first. If the data is present (a cache …