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If you’re running into a timeout issue when your Python quiz app calls an LLM service on Elastic Beanstalk but works fine locally, here are some steps you can follow to troubleshoot and hopefully resolve the problem:
First, understand that your Flask app works locally but times out on EB because the request to the LLM service—likely Bedrock—is taking too long or failing to connect. The logs showing “Starting new HTTPS connection” suggest that your environment can’t reach the Bedrock endpoint, which may be due to network restrictions.
Check your security groups:
Ensure that the security group attached to your EC2 instance allows outbound HTTPS traffic (port 443) to the Bedrock service. You mentioned all traffic is open, but it’s good to double-check no rules are blocking outbound requests.
Review IAM roles and permissions:
Your EC2 role has AmazonBedrockFullAccess, which is good. Confirm that the role is correctly assigned to your environment and that there are no permission issues. Sometimes, unexpected permission errors can cause calls to fail silently or time out.
Verify network setup (VPC and endpoints):
If your app is in a VPC, ensure that the subnet has internet access—either through a NAT gateway or an internet gateway. Without this, the EC2 instance cannot reach external services.
If you are using a VPC endpoint for Bedrock, make sure it’s correctly configured. Usually, Bedrock endpoints are internet-based, so a NAT gateway is necessary unless Bedrock supports private endpoints.
Check proxy settings and nginx configuration:
The nginx proxy configuration you added increases buffer sizes and timeouts, which is good. But remember, if your app’s request to Bedrock is timing out, nginx may be the bottleneck.
You might want to try setting a higher timeout in your application code or confirm that nginx is correctly passing the request without closing it prematurely.
Test network connectivity from your EB environment:
To diagnose, SSH into your EC2 instance (via EB console or SSH) and test the connection manually. Run a command like:
bash
curl -v https://bedrock-runtime.us-east-1.amazonaws.com/ –connect-timeout 10
This will help determine if the server can reach Bedrock.
Additionally, check if there are any VPC security policies or network ACLs blocking traffic. Sometimes, even if security groups are open, network ACLs or firewalls can block outbound traffic.
If all network checks out, consider increasing the timeout settings in your Python code for the LLM call. Sometimes, external API calls take longer than expected, especially if there’s high load or latency issues.
Finally, review your AWS environment’s logs and metrics. Elastic Beanstalk logs and CloudWatch metrics can indicate if there are network errors or resource constraints contributing to the timeout.
In summary, your main focus should be on verifying network connectivity: security groups, VPC configuration, NAT gateways, and proxies. Ensuring the environment can reach the Bedrock service without obstructions will go a long way toward fixing the timeout problem.
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