Common Troubleshooting Scenarios
Navigate through common issues and their resolutions.
- Connection Issues: Check network connectivity, firewall rules, and authentication credentials. Ensure your SDK is up-to-date.
- Throttling Errors (401, 403, 429): Monitor throughput and latency metrics. Scale up your Event Hubs tier or add more partitions if necessary. Implement retry logic with exponential backoff.
- Event Processing Delays: Optimize your consumer logic. Ensure your application can keep up with the event stream. Check for dead-letter queue issues.
- Schema Mismatch: Validate the schema of events being sent and received. Use schema registries for better management.
- Configuration Problems: Double-check connection strings, namespaces, and entity names. Refer to the official documentation for correct configuration.
Key Documentation Links
Quick access to essential resources.
Frequently Asked Questions (FAQ)
What are the common causes of high latency?
High latency can be caused by network issues, inefficient consumer processing, insufficient throughput capacity (e.g., too few partitions or incorrect tier), or issues with downstream systems processing the events.
How can I handle message ordering guarantees?
Event Hubs guarantees message ordering within a partition. If strict ordering is required for all messages, you must send them to the same partition using a partition key.
What is the difference between Event Hubs and Azure Service Bus?
Event Hubs is designed for high-throughput telemetry streaming, suitable for big data scenarios. Service Bus is a more traditional enterprise messaging broker, offering features like message queues, complex routing, and transactional processing.
How do I set up retry policies for sending and receiving events?
Most Azure SDKs for Event Hubs provide built-in retry policies. You can often configure the number of retries and the delay interval. For custom logic, implement exponential backoff with jitter to avoid overwhelming the service.