Distributed Systems Patterns

Service Discovery is a pattern used in distributed systems to enable services to locate each other dynamically. In a microservices architecture, the number of services, their locations, and instances can change frequently. Service Discovery addresses this challenge by providing a mechanism for services to register …

Read More

The Scheduler-Agent-Supervisor pattern addresses the challenge of reliably executing tasks in a distributed or concurrent environment. A Scheduler is responsible for creating and assigning tasks to Agents. Agents execute these tasks and report their status. A Supervisor independently monitors the Agents and, if an …

Read More

A service mesh is a dedicated infrastructure layer for facilitating service-to-service communication within a microservices application. It manages concerns like service discovery, load balancing, encryption, observability, and traffic management, abstracting these complexities away from individual service code. The …

Read More

Geo-Replication is a technique used to distribute data across multiple geographically diverse locations. This is done to improve performance for users in those regions (by reducing latency), increase availability and fault tolerance (by having backups in different locations), and provide disaster recovery capabilities. …

Read More

The Ambassador pattern provides a single point of entry for a system (or set of backend services) while abstracting away the internal complexity. It acts as a forward-facing proxy that handles requests, potentially transforming them, adding security, and routing them to the appropriate backend. This decouples clients …

Read More

The Correlation ID pattern is a technique used in distributed systems to track a single request as it flows across multiple services. It assigns a unique identifier to each request at its entry point (typically the API Gateway or initial client request) and propagates this identifier throughout all subsequent service …

Read More

Log Aggregation is a technique for collecting logs from multiple sources – applications, servers, network devices, etc. – in a centralized location. This allows for easier analysis, monitoring, and troubleshooting of complex systems. Instead of having to access individual machines to investigate issues, this pattern …

Read More

The Message Broker pattern facilitates communication and data exchange between different applications, systems, and services. It acts as an intermediary, receiving messages from producers and routing them to interested consumers. This decoupling allows components to operate independently, improving scalability, …

Read More

Microservices is an architectural style that structures an application as a collection of loosely coupled, independently deployable services. Each service typically focuses on a specific business capability, communicates through well-defined APIs, and can be developed and scaled independently. This contrasts with …

Read More

The Replication pattern addresses the need for data consistency and availability across multiple systems. It involves creating and maintaining multiple copies of data, ensuring that if one copy fails, others are available to serve requests. This enhances fault tolerance, improves read performance by distributing load, …

Read More