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Java Design Patterns
    Circuit Breaker Pattern in Java: Enhancing System Resilience

    Also known as

    • Fault Tolerance Switch

    Intent of Circuit Breaker Design Pattern

    The Circuit Breaker pattern is a critical Java design pattern that helps ensure fault tolerance and resilience in microservices and distributed systems. Using Circuit Breaker, it is possible to prevent a system from repeatedly trying to execute an operation likely to fail, allowing it to recover from faults and prevent cascading failures.


    iluwatarAbout 4 minResilienceCloud distributedFault toleranceMicroservicesRetry
    Commander Pattern in Java: Orchestrating Complex Commands with Ease

    Also known as

    • Distributed Transaction Commander
    • Transaction Coordinator

    Intent of Commander Design Pattern

    The intent of the Commander pattern in Java, especially in the context of distributed transactions, is to manage and coordinate complex transactions across multiple distributed components or services. This pattern ensures data consistency and integrity in distributed systems, making it crucial for microservices architecture. It encapsulates transaction commands and coordination logic, facilitating the implementation of distributed transaction protocols like two-phase commit or Saga.


    iluwatarAbout 4 minBehavioralCloud distributedMicroservicesTransactions
    Health Check Pattern in Java: Monitoring System Health for Optimal Operation

    Also known as

    • Health Monitoring
    • Service Health Check

    Intent of Health Check Design Pattern

    The Health Check pattern in Java is designed to proactively monitor the health of individual software components or services, allowing for quick identification and remediation of issues that may affect overall system functionality in microservices architectures.


    iluwatarAbout 3 minBehavioralFault toleranceMicroservicesMonitoringSystem health
    Microservices Aggregator Pattern in Java: Building Efficient Composite Services in Java

    Also known as

    • API Composition

    Intent of Microservices Aggregator Design Pattern

    The Microservices Aggregator pattern helps aggregate responses from multiple microservices into a single unified response, optimizing client-server interactions in scalable systems.


    iluwatarAbout 3 minArchitecturalAPI designClient-serverData processingDecouplingIntegrationMicroservicesScalability
    Microservices API Gateway Pattern in Java: Simplifying Service Access with a Unified Endpoint

    Intent of Microservices API Gateway Design Pattern

    The API Gateway design pattern aims to provide a unified interface to a set of microservices within a microservices architecture. It acts as a single entry point for clients, routing requests to the appropriate microservices and aggregating results, thereby simplifying the client-side code.


    iluwatarAbout 3 minIntegrationAPI designCloud distributedDecouplingEnterprise patternsIntegrationMicroservicesScalabilitySecurity
    Microservices Client-Side UI Composition Pattern In Java: Assembling Modular UIs in Microservices Architecture

    Intent of Client-Side UI Composition Design Pattern

    Compose user interface from independently deployable microservices on the client side for greater flexibility and decoupling.

    Also Known As

    • UI Aggregator
    • Frontend-Driven Composition

    Detailed Explanation of Client-Side UI Composition Pattern with Real-World Examples


    iluwatarAbout 2 minArchitecturalClient-serverCloud distributedCompositionDecouplingIntegrationMicroservicesModularityScalabilityWeb development
    Microservices Distributed Tracing Pattern In Java: Enhancing Visibility in Service Communication

    Intent of Microservices Distributed Tracing Design Pattern

    Provide a mechanism to trace and correlate requests as they traverse multiple microservices in a distributed system, enabling end-to-end visibility and easier troubleshooting.

    Also known as

    • Distributed Request Tracing
    • End-to-End Microservice Tracing

    iluwatarAbout 4 minArchitecturalCloud distributedMicroservicesResilienceObservabilityScalabilitySystem health
    Microservices Idempotent Consumer Pattern in Java: Ensuring Reliable Message Processing

    Also known as

    • Idempotent Subscriber
    • Repeatable Message Consumer
    • Safe Consumer

    Intent of Idempotent Consumer Pattern

    Ensure that consuming the same message multiple times does not cause unintended side effects in a microservices-based architecture.


    iluwatarAbout 3 minMessagingAsynchronousDecouplingEvent-drivenMessagingMicroservicesResilienceRetry
    Microservices Log Aggregation Pattern in Java: Centralizing Logs for Enhanced Monitoring

    Also known as

    • Centralized Logging
    • Log Management

    Intent of Microservices Log Aggregation Design Pattern

    Log Aggregation is a crucial microservices design pattern that centralizes the collection, storage, and analysis of logs from multiple sources, facilitating efficient monitoring, debugging, and operational intelligence.


    iluwatarAbout 3 minIntegrationData processingDecouplingEnterprise patternsFault toleranceMessagingMicroservicesPerformanceScalability
    Publish-Subscribe Pattern in Java: Decoupling components with asynchronous communication

    Intent of the Publish-Subscribe Design Pattern

    Defines a one-to-many dependency between objects, enabling automatic notification of multiple subscribers when a publisher's state changes or an event occurs.

    Detailed Explanation of Publish-Subscribe Pattern with Real-World Examples


    iluwatarAbout 4 minMessagingArchitectureAsynchronousDecouplingEvent-drivenMessagingMicroservicesPublish/subscribeScalability
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