Introduction
As engineers, we often spend hours optimizing code, improving prompts, and scaling infrastructure.
But sometimes the biggest production issues come from something much simpler.
A DNS lookup.
Recently, while deploying a serverless AI application to AWS, I encountered an error that completely blocked deployment.
The application hadn't changed.
AWS was healthy.
Permissions were correct.
The deployment package was valid.
Yet every deployment failed.
The error looked like this:
Error:
getaddrinfo EAI_AGAIN serverless-framework-deployments-eu-north-1-xxxxxxxx.s3.eu-north-1.amazonaws.com
At first glance, it looked like an AWS outage.
It wasn't.
This is the story of how a simple DNS resolution issue brought an entire deployment pipeline to a halt—and how we fixed it.
The Project
The application was an AI-powered Due Diligence Platform built with:
- AWS Lambda
- Amazon Bedrock
- Amazon DynamoDB
- Amazon SQS
- Serverless Framework
Deployment flow:
Developer
↓
Serverless Framework
↓
S3 Deployment Bucket
↓
CloudFormation
↓
Lambda Functions
Every deployment package is first uploaded to an S3 bucket created by the Serverless Framework.
Only after the upload succeeds does CloudFormation update the stack.
The Error
During deployment, the terminal suddenly returned:
serverless deploy
✖ Error:
getaddrinfo EAI_AGAIN serverless-framework-deployments-eu-north-1-xxxxxxxx.s3.eu-north-1.amazonaws.com
The deployment stopped immediately.
No Lambda updates.
No CloudFormation changes.
Nothing.
First Assumption: AWS Was Down
The first thing I checked was AWS Service Health.
Everything was operational.
- S3 was healthy
- CloudFormation was healthy
- Lambda was healthy
No incidents were reported.
Second Assumption: IAM Permissions
The next suspect was permissions.
I verified:
aws sts get-caller-identity
Response:
{
"Account": "123456789012",
"Arn": "arn:aws:iam::123456789012:user/developer"
}
Credentials were valid.
Permissions were correct.
Still failing.
Third Assumption: Serverless Framework Bug
I upgraded Serverless Framework.
npm install -g serverless
Deployment still failed.
The Real Problem
The key clue was:
EAI_AGAIN
This is not an AWS error.
It is a DNS resolution error.
Specifically:
EAI_AGAIN
=
Temporary DNS lookup failure
The operating system could not resolve the S3 endpoint hostname.
The request never reached AWS.
How We Confirmed It
I manually tested DNS resolution:
nslookup google.com
Intermittent failures appeared.
Then:
nslookup s3.eu-north-1.amazonaws.com
The same issue occurred.
This confirmed that the problem existed locally.
Not in AWS.
Root Cause
The machine was using an unstable DNS resolver.
Under heavy network usage, DNS lookups occasionally timed out.
When Serverless Framework attempted to upload artifacts to S3:
Serverless
↓
DNS Lookup
↓
Failure
↓
Deployment Stops
No connection to AWS was ever established.
The Fix
We switched to reliable public DNS servers.
Linux:
sudo nano /etc/resolv.conf
Added:
nameserver 8.8.8.8
nameserver 1.1.1.1
Then restarted networking:
sudo systemctl restart NetworkManager
Validation
After updating DNS:
nslookup s3.eu-north-1.amazonaws.com
Returned instantly.
Deployment succeeded:
serverless deploy
Output:
✔ Service deployed successfully
Additional Improvements
To avoid future issues, we added several safeguards.
Retry Logic
serverless deploy || serverless deploy
Useful for CI/CD jobs when transient network issues occur.
Connectivity Check
Before deployment:
curl https://s3.eu-north-1.amazonaws.com
If connectivity fails:
Stop deployment
This prevents wasting build minutes on doomed deployments.
AWS Credential Validation
Added:
aws sts get-caller-identity
to deployment pipelines.
This immediately detects expired or invalid credentials.
Lessons Learned
The biggest lesson was simple:
Not every AWS deployment error is actually an AWS problem.
Sometimes:
- DNS fails
- Local networking fails
- VPNs interfere
- Corporate firewalls interfere
And the cloud gets blamed.
Production Debugging Framework
When deployment issues occur, I now follow this order:
Step 1 — Validate AWS Credentials
aws sts get-caller-identity
Step 2 — Validate Internet Connectivity
ping google.com
Step 3 — Validate DNS
nslookup s3.eu-north-1.amazonaws.com
Step 4 — Validate AWS Services
aws s3 ls
Step 5 — Run Deployment
serverless deploy
This process has saved hours of troubleshooting.
Final Thoughts
As engineers, we often expect complex problems to have complex causes.
This incident reminded me that some of the most disruptive failures originate from the most basic layers of infrastructure.
A single DNS lookup failure stopped an entire deployment pipeline.
The code was correct.
AWS was healthy.
The architecture was sound.
But none of that mattered until the network could resolve a hostname.
Sometimes the fastest fix isn't changing code.
It's understanding where the request actually fails.
Key Takeaway
Before blaming AWS:
- Check credentials
- Check connectivity
- Check DNS
- Check local networking
- Then investigate cloud services
You'll save yourself hours of debugging.