Implementing Titanic Pattern in the Integration Manager

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Step 1: Message Storage

• Database or File System: Integrate a simple database (SQLite) or a file system-based storage system within the Integration Manager to store incoming messages.
• Unique Message IDs: check the unique ID to each message as it arrives, ensuring every message can be tracked and managed individually.

Step 2: Message Processing Workflow

• Worker Dispatch: When a message is received, store it in the database (SQLite) and then dispatch it to the RoutingWorker for processing.
• Acknowledgment Handling: After a worker processes a message, it should PUSH an acknowledgment action=received back to the Integration Manager.
• Message Deletion: Upon receiving a successful acknowledgment, the Integration Manager marks the message as processed in the store or deletes it.

Step 3: Failure Recovery and Message Redelivery

• Monitoring and Health Checks: Implement monitoring to detect any failures in message processing IN A SEPARATE THREAD.
• Recovery Mechanism: In case of failure, the system should automatically retry puBLISHING messages that have not been acknowledged as processed.
• Timeouts and Retry Logic: Define a strategy for how long to wait before retrying a message and how many retries should be attempted.

Step 4: Scaling and Performance Optimization

• Load Balancing: Integrate load balancing mechanisms to distribute messages evenly across multiple workers, especially during high loads or retries.
• Performance Optimization: Use indexing in the database for faster retrieval and update of message statuses

Step 5: Seamless Integration with Existing Architecture

• Minimize Changes: Ensure that the new components integrate seamlessly with the existing parts of the DigitalPy architecture without requiring significant changes to the communication patterns.
• Compatibility: Maintain compatibility with existing protocols and data formats used within the system to ensure that the new persistence features do not disrupt current operations.