- Decoupling106
- Object composition32
- Encapsulation30
- Scalability30
- Abstraction29
- Polymorphism26
- Gang of Four25
- Performance25
- Data access21
- Persistence21
- Asynchronous20
- Messaging20
- Code simplification20
- Enterprise patterns20
- Extensibility19
- Instantiation19
- API design18
- Event-driven18
- Fault tolerance17
- Layered architecture17
- Thread management14
- Synchronization13
- Interface13
- Reactive13
- Data processing13
- Microservices12
- Game programming11
- Resource management11
- Client-server11
- Architecture10
- Business10
- Domain10
- Functional decomposition10
- Presentation9
- Web development9
- State tracking8
- Optimization8
- Resilience7
- Integration7
- Runtime7
- Publish/subscribe7
- Concurrency6
- Isolation6
- Testing6
- Cloud distributed6
- Data transformation6
- Transactions6
- Memory management6
- Wrapping5
- Idiom5
- Generic5
- Security5
- Reusability4
- Modularity4
- Session management4
- Object mapping4
- Immutable4
- Lazy initialization4
- Dynamic typing3
- Compatibility3
- Proxy3
- Data binding3
- Caching3
- Retry3
- Data transfer3
- Recursion3
- Dependency management3
- Buffering3
- Multithreading3
- Inheritance3
- Migration2
- Modernization2
- Refactoring2
- Delegation2
- Inversion of control2
- Accumulation2
- Undo2
- Context2
- Enhancement2
- Composition2
- System health2
- Error handling2
- Distributed Systems1
- Actor Model1
- Closure1
- Feature management1
- Monitoring1
- Observability1
- Cohesion1
- Cookies1
- Facade1
- Database1
- Resource Management1
- Versioning1
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.
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.
Also known as
- Coordinator Election
- Master Election
Intent of Leader Election Design Pattern
The Leader Election design pattern is crucial for enabling a system to elect a leader from a group of nodes, ensuring the leader is consistently recognized and able to coordinate tasks while other nodes remain followers. This pattern is fundamental in distributed systems, particularly for achieving fault tolerance and high availability.
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.
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
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