sharjeelyunus/github-issues-dataset huggingface dataset:
Repository: java-design-patterns
Issue: Microservice pattern: Service component test
Labels: info: help wanted,epic: pattern,type: feature,status: stale

**Description:**
The Service Component Test design pattern is essential for validating the behavior and functionality of individual microservices within a microservice architecture. This pattern ensures that each service component is thoroughly tested in isolation, allowing for reliable and maintainable code.

**Main Elements of the Pattern:**
1. **Isolation of Services:** Testing individual microservices independently to ensure they meet their functional and non-functional requirements without interference from other services.
2. **Mocking Dependencies:** Utilizing mocks for external dependencies such as databases, third-party services, and other microservices to simulate their behavior.
3. **Comprehensive Test Cases:** Creating test cases that cover all possible scenarios, including edge cases and failure modes, to validate the microservice's behavior.
4. **Automation:** Integrating automated testing tools and frameworks to execute tests as part of the continuous integration and deployment pipeline.
5. **Clear API Contracts:** Ensuring that each microservice has a well-defined API contract that can be tested for compliance and reliability.

**References:**
- [Microservices Architecture](https://microservices.io/)
- [Testing Strategies in Microservices](https://martinfowler.com/articles/microservice-testing/)
- [Project Contribution Guidelines](https://github.com/iluwatar/java-design-patterns/wiki)
- [Service Component Test](https://microservices.io/patterns/testing/service-component-test.html)

**Acceptance Criteria:**
1. A new module for the Service Component Test design pattern is created in the project repository.
2. Implementation includes examples of service isolation, dependency mocking, and comprehensive test cases.
3. Automated tests are integrated with the CI/CD pipeline, demonstrating successful and reliable execution of the test suite.
Repository: java-design-patterns
Issue: Microservice pattern: Consumer-driven contract test
Labels: info: help wanted,epic: pattern,type: feature,status: stale

**Description:**
The Microservices - Service Integration Contract Test design pattern ensures that microservices can communicate and function together as expected. This pattern involves creating and maintaining contract tests that verify the interactions between microservices. These tests help to ensure that changes in one service do not break the functionality of another service, thereby maintaining the integrity of the entire system.

Main elements of the pattern include:
1. **Service Contracts:** Define clear and precise contracts for each service, specifying the expected inputs and outputs.
2. **Consumer-driven Contracts:** Consumers of a service define the expectations, which are then verified by the service provider.
3. **Automated Tests:** Develop automated tests that validate the interactions based on the defined contracts.
4. **Versioning:** Manage and test multiple versions of service contracts to ensure backward compatibility.
5. **Continuous Integration:** Integrate contract tests into the CI/CD pipeline to detect and fix issues early in the development process.

**References:**
- [Project Contribution Guidelines](https://github.com/iluwatar/java-design-patterns/wiki)
- [Martin Fowler on Microservices](https://martinfowler.com/articles/microservices.html)
- [Microservices.io - Service Integration](https://microservices.io/patterns/testing/service-integration-contract-test.html)

**Acceptance Criteria:**
1. Create service contracts for a sample microservices setup.
2. Implement consumer-driven contract tests and integrate them into the CI/CD pipeline.
3. Verify that contract tests detect any breaking changes in service interactions and provide actionable feedback.
Repository: java-design-patterns
Issue: Microservice pattern: Microservice chassis
Labels: info: help wanted,epic: pattern,type: feature,status: stale

### Description
The Microservice Chassis design pattern is a foundational framework for developing microservices that encapsulate common concerns, such as logging, configuration, and security. By creating a chassis, developers can focus on business logic without reinventing the wheel for these standard features. This pattern promotes consistency, reduces boilerplate code, and simplifies maintenance.

#### Main Elements of the Pattern
- **Service Configuration**: Centralized management of configurations for each microservice.
- **Service Discovery**: Mechanisms for services to discover each other, typically using a registry.
- **Logging**: Standardized logging format across services to simplify debugging and monitoring.
- **Security**: Common security practices, such as authentication and authorization, implemented uniformly.
- **Monitoring and Metrics**: Integrated tools for monitoring service health and performance metrics.

#### List of References
- [Microservice Chassis](https://microservices.io/patterns/microservice-chassis.html)
- [Microservices Patterns](https://www.oreilly.com/library/view/microservices-patterns/9781617294549/)
- [Project Contribution Guidelines](https://github.com/iluwatar/java-design-patterns/wiki)

### Acceptance Criteria
1. A new module named `microservices-chassis` is created under the project structure.
2. Implement basic configurations, service discovery, logging, security, and monitoring features within the module.
3. Provide comprehensive documentation and examples demonstrating how to use the microservice chassis in a sample microservice.
Repository: java-design-patterns
Issue: Microservice pattern: Service template
Labels: info: help wanted,epic: pattern,type: feature

## Description
The Microservices - Service Template design pattern involves creating a reusable template for building microservices. This template should encompass common functionalities and configurations needed for microservices to ensure consistency, maintainability, and rapid development across the project. 

### Main Elements of the Pattern
- **Service Template**: A base template that includes necessary configurations, common libraries, and best practices for building microservices.
- **Configuration Management**: Centralized configuration management for different environments (development, staging, production).
- **Service Registry and Discovery**: Mechanism for microservices to register themselves and discover other services.
- **API Gateway**: A single entry point for all clients to interact with the microservices.
- **Fault Tolerance**: Implementations for retry mechanisms, circuit breakers, and fallback methods.
- **Monitoring and Logging**: Centralized logging and monitoring for better observability and debugging.
- **Security**: Common security practices including authentication, authorization, and secure communication.

### References
- [Microservices - Service Template Design Pattern](https://martinfowler.com/articles/microservices.html)
- [Project Contribution Guidelines](https://github.com/iluwatar/java-design-patterns/wiki)
- [12 Factor App Methodology](https://12factor.net/)
- [Spring Cloud Documentation](https://spring.io/projects/spring-cloud)
- [Netflix OSS Components](https://netflix.github.io/)
- [Service Template pattern](https://microservices.io/patterns/service-template.html)

## Acceptance Criteria
1. Create a base service template with configurations for a typical microservice including dependency management, common libraries, and environment-specific configurations.
2. Implement service registry and discovery using tools like Eureka or Consul, and integrate it within the service template.
3. Set up an API gateway (e.g., Zuul, Spring Cloud Gateway) to manage and route client requests to respective microservices.
4. Include fault tolerance mechanisms such as retries, circuit breakers (using Hystrix or Resilience4j), and fallback methods in the template.
5. Integrate centralized logging and monitoring (e.g., ELK stack, Prometheus, Grafana) within the service template.
6. Implement basic security practices in the template, including OAuth2 for authentication and authorization, and secure communication using SSL/TLS.
Repository: java-design-patterns
Issue: Microservice pattern: Externalized configuration
Labels: info: help wanted,epic: pattern,type: feature

### Description:
The Microservices - Externalized Configuration design pattern is crucial for managing configuration across multiple microservices in a distributed system. This pattern allows for the separation of configuration from the application code, facilitating easier updates and management without redeploying the services. By externalizing configurations, applications can be more flexible and maintainable, adapting to different environments such as development, testing, and production seamlessly.

Main elements of the pattern:
- **External Configuration Storage**: Store configuration data outside the application, typically in a centralized repository such as a configuration server, database, or environment variables.
- **Dynamic Configuration Update**: Enable applications to update their configuration dynamically without needing a restart or redeployment.
- **Environment-Specific Configurations**: Maintain different configurations for various environments (development, testing, production) to ensure appropriate settings are used in each context.
- **Security**: Secure sensitive configuration data, such as credentials and secrets, to prevent unauthorized access.

### References:
1. [Microservices Patterns: With examples in Java](https://www.manning.com/books/microservices-patterns)
2. [12 Factor App: Config](https://12factor.net/config)
3. [Spring Cloud Config Documentation](https://spring.io/projects/spring-cloud-config)
4. [Project Contribution Guidelines](https://github.com/iluwatar/java-design-patterns/wiki)
5. [Externalized Configuration pattern](https://microservices.io/patterns/externalized-configuration.html)

Acceptance Criteria:
1. Implement a centralized configuration service that can manage configurations for multiple microservices.
2. Ensure the ability to dynamically update configurations without needing to restart the microservices.
3. Demonstrate the use of environment-specific configurations and secure storage for sensitive data.
Repository: java-design-patterns
Issue: Microservice pattern: Remote procedure invocation
Labels: epic: pattern,type: feature

### Description
The Microservices - Remote Procedure Invocation (RPI) design pattern is crucial for enabling microservices to communicate effectively in a distributed system. This pattern allows a program to cause a procedure to execute in another address space (commonly on another physical machine). The procedure call is abstracted to appear as a local function call, though it is executed remotely.

Main Elements of the Pattern:
1. **Service Definition**: Defines the methods and parameters that can be called remotely.
2. **Client Proxy**: Acts as a local representative for the remote service. It abstracts the complexity of remote communication.
3. **Network Protocol**: Handles the transmission of requests and responses between client and server.
4. **Server Stub**: Unpacks the requests, executes the corresponding service methods, and packs the results to be sent back to the client.
5. **Serialization/Deserialization**: Transforms data structures or objects into a format that can be easily transmitted and reconstructed.
6. **Error Handling**: Manages issues like network failures, timeouts, and service unavailability.

### References
- [Microservices Architecture](https://martinfowler.com/microservices/)
- [Remote Procedure Invocation Pattern](https://docs.microsoft.com/en-us/azure/architecture/patterns/remote-procedure-invocation)
- [RPC pattern](https://microservices.io/patterns/communication-style/rpi.html)

### Acceptance Criteria
1. Implement a basic example of the RPI design pattern demonstrating remote communication between microservices.
2. Include comprehensive unit and integration tests to ensure reliable communication and proper error handling.
3. Update the project documentation to include an explanation of the RPI pattern, its implementation details, and usage instructions.
Repository: java-design-patterns
Issue: Microservice pattern: Messaging
Labels: epic: pattern,type: feature

### Description:
The Microservices - Messaging design pattern enables microservices to communicate with each other through asynchronous message passing, allowing for better decoupling and scalability. This pattern involves the use of a message broker to facilitate communication between services, ensuring that messages are delivered reliably even if some services are temporarily unavailable. The main elements of this pattern include message producers, message consumers, and the message broker.

Key elements:
- **Message Producers**: Services that create and send messages.
- **Message Consumers**: Services that receive and process messages.
- **Message Broker**: Middleware that routes messages between producers and consumers, ensuring reliable delivery.

### References:
- [Microservices - Messaging Pattern](https://microservices.io/patterns/communication-style/messaging.html)
- [Java Design Patterns Project Contribution Guidelines](https://github.com/iluwatar/java-design-patterns/wiki)
- [Apache Kafka](https://kafka.apache.org/documentation/)
- [RabbitMQ](https://www.rabbitmq.com/documentation.html)

### Acceptance Criteria:
1. Implement message producer and consumer services using a message broker such as Apache Kafka or RabbitMQ.
2. Ensure that the system can handle asynchronous communication and maintain message integrity and reliability.
3. Provide comprehensive unit and integration tests to verify that messages are correctly produced, routed, and consumed.
Repository: java-design-patterns
Issue: Microservice pattern: Domain-specific protocol
Labels: info: help wanted,epic: pattern,type: feature,status: stale

**Description:**
The Microservices - Domain-Specific Protocol design pattern focuses on defining specialized communication protocols tailored to the specific requirements of each microservice domain. This pattern helps in achieving efficient, reliable, and clear communication between microservices by using domain-specific protocols instead of generic ones.

**Main Elements of the Pattern:**
1. **Domain Isolation:** Each microservice has its own specific protocol, reducing cross-domain dependencies and promoting autonomy.
2. **Optimized Communication:** Tailoring protocols to domain-specific needs enhances performance and reliability.
3. **Clear Contracts:** Well-defined and explicit communication contracts ensure better understanding and fewer integration issues.
4. **Decoupling:** This pattern supports loose coupling between microservices, making the system more modular and easier to maintain.
5. **Scalability:** Custom protocols can be optimized for the specific workload, enhancing the scalability of the microservices architecture.

**References:**
1. [Microservices Architecture Patterns](https://martinfowler.com/articles/microservices.html)
2. [Design Patterns for Microservices](https://www.oreilly.com/library/view/designing-microservices-patterns/9781492032613/)
3. [Domain-Specific Languages](https://martinfowler.com/books/dsl.html)
4. [Project Contribution Guidelines](https://github.com/iluwatar/java-design-patterns/wiki)
5. [Domain-Specific Protocol](https://microservices.io/patterns/communication-style/domain-specific.html)

**Acceptance Criteria:**
1. **Implementation:** Develop a set of microservices that use domain-specific protocols for communication.
2. **Documentation:** Provide comprehensive documentation explaining the design and implementation of the domain-specific protocols.
3. **Examples:** Include examples demonstrating how the domain-specific protocols improve communication efficiency and clarity.
4. **Tests:** Write unit and integration tests to ensure the domain-specific protocols function correctly and handle edge cases.
5. **Code Review:** Ensure the implementation adheres to the project's contribution guidelines and coding standards.
Repository: java-design-patterns
Issue: Microservice pattern: Client-side service discovery
Labels: info: help wanted,epic: pattern,type: feature,status: stale

**Description:**
The Client-Side Service Discovery pattern is a design strategy in microservice architectures where the client is responsible for determining the network location of service instances. This involves querying a service registry, which keeps track of available service instances. The client retrieves the required information and selects an appropriate service instance to communicate with.

Main elements of the pattern include:
- **Service Registry**: A centralized database that maintains the addresses of service instances.
- **Service Registration**: Services register their network locations (IP addresses and port numbers) with the service registry.
- **Service Querying**: Clients query the service registry to get the location of a service instance.
- **Load Balancing**: Clients implement load balancing strategies to choose among multiple service instances.

**References:**
1. [Microservices Patterns](https://microservices.io/patterns/client-side-discovery.html)
2. [Spring Cloud Netflix Eureka](https://cloud.spring.io/spring-cloud-netflix/multi/multi_spring-cloud-eureka-server.html)
3. [Project Contribution Guidelines](https://github.com/iluwatar/java-design-patterns/wiki)

**Acceptance Criteria:**
1. Implement a service registry that can register and deregister service instances.
2. Create a client module that can query the service registry to discover service instances.
3. Ensure that the client module includes a basic load-balancing mechanism to distribute requests among multiple service instances.
Repository: java-design-patterns
Issue: Microservice pattern: Server-side service discovery
Labels: epic: pattern,type: feature

### Description
Implement the Server-Side Service Discovery design pattern for the project. This pattern helps in dynamically locating services within a microservices architecture, enhancing the system's scalability and flexibility.

Main Elements of the Pattern:
1. **Service Registry**: A central repository that holds the network locations of service instances.
2. **Service Provider**: Services register their instances with the service registry.
3. **Service Consumer**: Consumers query the service registry to find available service instances.
4. **Load Balancer**: Directs service requests to available service instances based on a load-balancing strategy.
5. **Health Check**: Ensures that only healthy service instances are registered and available for service discovery.

### References
- [Microservices Patterns: Service Discovery](https://microservices.io/patterns/server-side-discovery.html)
- [Spring Cloud Netflix: Service Discovery](https://cloud.spring.io/spring-cloud-netflix/multi/multi_spring-cloud-eureka-server.html)
- [Project Contribution Guidelines](https://github.com/iluwatar/java-design-patterns/wiki)

### Acceptance Criteria
1. **Service Registry Setup**: Implement a service registry (e.g., Eureka, Consul) to manage the dynamic locations of service instances.
2. **Service Registration and Discovery**: Ensure that services can register themselves with the service registry and that consumers can discover these services.
3. **Load Balancing and Health Checks**: Integrate load balancing and health checks to maintain the availability and reliability of the service instances.
Repository: java-design-patterns
Issue: Microservice pattern: Self registration
Labels: info: help wanted,epic: pattern,type: feature,status: stale

### Description:
The Microservices - Self Registration design pattern enables microservices to dynamically register themselves with a central registry when they start. This pattern is crucial for managing microservices in a dynamic environment where services can be added, removed, or updated frequently. By implementing this pattern, microservices become discoverable by other services, which allows for better scalability, resilience, and flexibility within the system.

#### Main Elements of the Pattern:
1. **Service Registry**: A central repository that holds information about all available microservices.
2. **Service Instance**: The actual microservices that need to register themselves with the service registry.
3. **Heartbeat Mechanism**: A periodic check to ensure that registered services are still available and healthy.
4. **Discovery Client**: A component that other microservices use to find and interact with the registered services.

#### Key Components to Implement:
1. **Service Registry Implementation**: Set up a central registry using tools like Eureka, Consul, or Zookeeper.
2. **Service Registration**: Code within each microservice to register itself with the central registry upon startup.
3. **Heartbeat/Health Check**: Mechanism to ensure continuous availability and health status reporting of the services.
4. **Service Discovery Client**: Implementation to enable other services to discover and communicate with registered services.

### References:
- [Microservices Patterns](https://microservices.io/patterns/self-registration.html)
- [Eureka Documentation](https://cloud.spring.io/spring-cloud-netflix/multi/multi_spring-cloud-eureka-server.html)
- [Consul Documentation](https://www.consul.io/docs)
- [Project Contribution Guidelines](https://github.com/iluwatar/java-design-patterns/wiki)

### Acceptance Criteria:
1. **Service Registry Setup**:
   - A central service registry must be configured and running (e.g., Eureka, Consul, Zookeeper).
2. **Microservice Registration**:
   - Each microservice must automatically register itself with the central registry upon startup.
3. **Health Check Mechanism**:
   - A heartbeat or health check mechanism must be implemented to monitor the health of registered services.
4. **Service Discovery**:
   - Other microservices must be able to discover and communicate with registered services using a discovery client.
5. **Documentation**:
   - Comprehensive documentation must be provided, including setup instructions, code examples, and usage guidelines.