Queues

Select a Messaging System

Choose a messaging system that suits your requirements. Omnium options include:

• Apache Kafka
• RabbitMQ
• Azure Service Bus
• Azure Storage Queues

Set Up a Queue

1. Delta Query: When making a request to the delta query endpoint, include a timestamp parameter indicating the point in time from which you want to retrieve changes. This could be the timestamp of the last successful synchronization.

2. Process the Response: The response from Omnium will contain data that has changed since the specified timestamp. The response format will depend on the specific API and endpoint you are using.

3. Update Your System: Extract relevant information from the response and update your system accordingly. This could involve adding new records, updating existing ones, or other actions required to reflect changes in Omnium.

4. Error Handling: Implement robust error handling mechanisms to manage situations where requests fail or encounter issues. This may include retry mechanisms and logging to ensure that no changes are missed.

5. Scheduling: Set up a schedule for executing delta queries based on your synchronization requirements. This could be a periodic task that runs at intervals suitable for your business needs.

6. Testing: Thoroughly test your delta query implementation in the test environment before deploying it in a production setting. This helps identify and address any potential issues or gaps in functionality.

Create and Configure a Queue

1. Create a Queue: Create a queue within your chosen messaging system. This is where Omnium will publish events or messages.

2. Configure Omnium: Within Omnium, configure the integration to publish events or messages to the queue. This configuration typically involves specifying the endpoint or connection details of your messaging system.

3. Develop a Consumer: Develop a message consumer in your system. This component is responsible for connecting to the queue, receiving messages as they arrive, and processing them accordingly.

4. Message Processing: Implement the logic for processing each type of message received from the queue. This may involve updating records, triggering workflows, or performing other actions based on the message content.

5. Error Handling: Implement robust error-handling mechanisms to manage situations where message processing fails. This could include retry mechanisms, logging, and handling exceptional scenarios.

6. Secure Communication: Ensure secure communication between Omnium and your messaging system. This may involve using secure protocols (e.g., HTTPS) and proper authentication mechanisms.

7. Monitoring and Logging: Implement monitoring and logging to track the status of message processing. This helps in identifying issues, tracking performance, and ensuring the overall health of the integration.

8. Testing: Thoroughly test your message queuing integration in a controlled environment before deploying it in production. This includes testing different scenarios, error conditions, and scalability.

By setting up a queue-based integration, you can achieve asynchronous and decoupled communication between Omnium and your system, enabling efficient handling of events and messages in real time.