Hi Sooriya E ,
Thank you for the update and for providing those valuable details. It's very helpful to know what you've tried and what you've observed.
Let me address your findings and your new questions:
1. Why did adding the Synapse gateway IP addresses work temporarily?
The Azure Synapse gateway IP addresses are used for certain control plane and management communications. When you added these to your firewall rules, you may have temporarily opened a path that allowed a specific part of the request to succeed. However, this is not a reliable long-term solution for notebook execution.
The main reason for the inconsistency is that the "Azure Synapse Spark pool's egress traffic does not originate from these fixed gateway IPs". The traffic from the Spark pool, which is running your notebook code, originates from a pool of dynamic IP addresses within the Azure data center, and these are not guaranteed to be consistent. This is why the connection worked once and then failed—the next time the notebook ran, its outbound traffic likely came from a different, unwhitelisted IP address.
2. Is there a limit to adding IP addresses?
Yes, there can be a practical limit on the number of IP addresses you can add to a firewall rule for a service like Azure Cosmos DB or Azure OpenAI. The limit varies by service.
3. The Recommended Solution:
The temporary success you saw with the gateway IPs reinforces the original recommendation. The most robust, secure, and permanent solution for connecting an Azure Synapse notebook to other Azure services is to use a "Managed Virtual Network and Managed Private Endpoints."
This architecture is specifically designed to handle this exact scenario. It ensures that all communication between your Synapse Spark pool and resources like Azure OpenAI and Cosmos DB happens over a secure, private network link, bypassing the public internet and any IP-based firewall rules.
Next Steps what you can is:
as far as i understand your Synapse workspace was not created with a Managed VNet, the only way to implement this solution is to create a new Synapse workspace and ensure the Managed Virtual Network option is enabled during the creation process. Once the new workspace is created, you can then set up the Managed Private Endpoints to your Azure OpenAI and Cosmos DB accounts.
This will provide a stable and secure connection that will not be affected by dynamic public IPs, resolving the inconsistency you are experiencing.
Thank you again for your time. I’m happy to continue supporting you—your experience and insights can also benefit others in the community.
Please do not forget to "Accept the answer” and “upvote it” wherever the information provided helps you, this can be beneficial to other community members.it would be greatly appreciated and helpful to others.
Thanks,
Harish.