1. **Connect to Messaging Queue**:

- Establish connections to one or more messaging queues.

- Support for popular messaging protocols such as AMQP, Kafka, etc.

2. **Consume Messages**:

- Listen for incoming messages from the subscribed queue(s).

- Handle message consumption in a concurrent and efficient manner.

3. **Data Processing**:

- Process incoming messages, which may include decoding, transformation, or enrichment based on business logic.

4. **Error Handling**:

- Implement robust error handling mechanisms to handle failures gracefully.

- Retry failed message processing or handle errors according to defined policies.

5. **Logging and Monitoring**:

- Logging of important events, errors, and informational messages.

- Support for monitoring and metrics collection to track system health and performance.

6. **Data Persistence**:

- Write processed data to a downstream datastore (e.g., database, cache, file system, messaging queues).

- Ensure data integrity and reliability during the persistence process.

7. **Routing and Filtering**:

- Implement routing and filtering mechanisms to selectively route messages to different downstream destinations.

- Support for message filtering based on content, metadata, or other criteria.

8. **Concurrency Management**:

- Efficiently handle concurrent message processing using goroutines and channels.

- Manage concurrency to prevent resource contention and optimize performance.

9. **Configuration**:

- Support for flexible configuration options, including queue connection settings, data storage configuration, and processing parameters.

- Allow configuration through environment variables, configuration files, or command-line flags.

10. **Graceful Shutdown**:

- Enable graceful shutdown procedures to ensure clean termination of the application.

- Properly handle in-flight messages and ensure data integrity during shutdown.