getting a max connection limit on redis azure cache

Hi @Vineet kumar Verma,

Welcome to the Microsoft Q&A Platform! Thank you for asking your question here.

As we understand that, The Redis connection error "SocketClosedUnexpectedlyError: Socket closed unexpectedly" can occur when the Redis client loses its connection to the Redis server unexpectedly.

The Redis Cache service has new limits on the number of connections allowed to a cache. Earlier, this limit was 10,000 per cache. The new connection limits are based on your cache size. These limits apply to new caches, and existing caches are not impacted. If you delete and create a new cache, you will get the new behavior.Please see the Redis Cache Pricing page for the new connection limits.

I would request you to refer the mentioned link for troubleshooting the connectivity issue.

https://zcusa.951200.xyz/en-us/azure/azure-cache-for-redis/cache-troubleshoot-connectivity

I hope, This response will address your query and helped you to overcome on your challenges.

If this answers your query, do click Accept Answer and Yes for was this answer helpful. And, if you have any further query do let us know.

The error "Socket Closed Unexpectedly" along with hitting the maximum connection limit on your Azure Redis Cache can occur for a few reasons, typically related to resource limitations or improper connection handling in your application. Here are some steps you can take to address this issue:

1. Check the Connection Limit of Your Pricing Tier

Each pricing tier of Azure Redis Cache has a maximum number of connections it can handle:

• Basic/Premium tiers generally support more connections compared to the Standard tier.
• If you are consistently hitting the connection limit, consider upgrading your Redis instance to a higher pricing tier.

2. Review Connection Management in Your Application

Poor connection management can lead to sockets being left open, consuming available connection slots. To manage connections efficiently:

• Use connection pooling: Instead of creating and destroying connections frequently, use a connection pool to reuse existing connections.
• Close connections properly: Ensure that your application closes connections when they're no longer needed to free up resources.
• Implement retry logic: Use retry logic for transient errors to avoid overloading Redis with connection attempts.

3. Monitor Redis Resource Usage

Use Azure monitoring tools to track the usage of your Redis instance:

• Azure Monitor or Redis Insights can help you understand connection patterns and resource utilization.
• Check the used_memory, evicted_keys, and connected_clients metrics to ensure you're not exhausting memory or connections.

4. Configure Redis Client Settings

Optimize your Redis client configuration to prevent unnecessary socket closures:

• Keep-alive settings: Ensure the TCP keep-alive settings are properly configured to avoid closing idle connections prematurely.
• Timeout settings: Adjust the timeout settings in your Redis client to align with your application's needs.

5. Scaling Your Redis Instance

If you continue to experience connection issues despite optimizing the above settings, you might need to scale up:

• Vertical scaling: Increase the size of your Redis Cache to a larger tier that supports more connections.
• Horizontal scaling: Use Redis clustering or sharding if you have a Premium Redis tier to distribute the load across multiple nodes.

6. Check for Network Issues

Network-related issues can also cause sockets to close unexpectedly:

• Ensure there are no firewall or network rules blocking traffic between your application and Redis.
• Check for any intermittent network connectivity issues on the client-side.

7. Update Redis Client Library

If you are using an outdated Redis client library, consider updating to the latest version, as new releases often come with bug fixes and performance improvements.

8. Connection Multiplexing

If you are using the StackExchange.Redis client library, enable connection multiplexing. This allows multiple logical connections to share the same physical connection, reducing the overall number of connections.

If these steps don't resolve the issue, let me know more about your current configuration and Redis pricing tier so I can provide more specific guidance.

4oThe error "Socket Closed Unexpectedly" along with hitting the maximum connection limit on your Azure Redis Cache can occur for a few reasons, typically related to resource limitations or improper connection handling in your application. Here are some steps you can take to address this issue:

1. Check the Connection Limit of Your Pricing Tier

Each pricing tier of Azure Redis Cache has a maximum number of connections it can handle:

• Basic/Premium tiers generally support more connections compared to the Standard tier.
• If you are consistently hitting the connection limit, consider upgrading your Redis instance to a higher pricing tier.

2. Review Connection Management in Your Application

Poor connection management can lead to sockets being left open, consuming available connection slots. To manage connections efficiently:

• Use connection pooling: Instead of creating and destroying connections frequently, use a connection pool to reuse existing connections.
• Close connections properly: Ensure that your application closes connections when they're no longer needed to free up resources.
• Implement retry logic: Use retry logic for transient errors to avoid overloading Redis with connection attempts.

3. Monitor Redis Resource Usage

Use Azure monitoring tools to track the usage of your Redis instance:

• Azure Monitor or Redis Insights can help you understand connection patterns and resource utilization.
• Check the used_memory, evicted_keys, and connected_clients metrics to ensure you're not exhausting memory or connections.

4. Configure Redis Client Settings

Optimize your Redis client configuration to prevent unnecessary socket closures:

• Keep-alive settings: Ensure the TCP keep-alive settings are properly configured to avoid closing idle connections prematurely.
• Timeout settings: Adjust the timeout settings in your Redis client to align with your application's needs.

5. Scaling Your Redis Instance

If you continue to experience connection issues despite optimizing the above settings, you might need to scale up:

• Vertical scaling: Increase the size of your Redis Cache to a larger tier that supports more connections.
• Horizontal scaling: Use Redis clustering or sharding if you have a Premium Redis tier to distribute the load across multiple nodes.

6. Check for Network Issues

Network-related issues can also cause sockets to close unexpectedly:

• Ensure there are no firewall or network rules blocking traffic between your application and Redis.
• Check for any intermittent network connectivity issues on the client-side.

7. Update Redis Client Library

If you are using an outdated Redis client library, consider updating to the latest version, as new releases often come with bug fixes and performance improvements.

8. Connection Multiplexing

If you are using the StackExchange.Redis client library, enable connection multiplexing. This allows multiple logical connections to share the same physical connection, reducing the overall number of connections.

If these steps don't resolve the issue, let me know more about your current configuration and Redis pricing tier so I can provide more specific guidance.