High latency in Azure Table Storage can result from various factors, such as partitioning design, data access patterns, and network conditions. To mitigate these issues:
1. Optimize partition key selection: Choose a partition key that evenly distributes data across partitions to avoid hotspots and improve load balancing.
2. Use batch operations: Group multiple operations into a single request to reduce round-trip time and minimize latency.
3. Cache frequently accessed data: Implement caching mechanisms like Redis Cache or Azure Managed Cache Service to store commonly used data, reducing the need for table storage queries.
4. Monitor and diagnose performance: Utilize Azure Monitor and Storage Analytics to identify bottlenecks, monitor metrics, and optimize configurations accordingly.
5. Opt for premium tier: Consider using Premium Table Storage with higher throughput and lower latency guarantees.
6. Geographically distribute data: Deploy applications closer to users by leveraging Azure Traffic Manager or Content Delivery Network (CDN) services.
7. Asynchronously process requests: Design applications to handle requests asynchronously, allowing them to continue processing while waiting for responses from table storage.
