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DevOps Second Opinion

Stuck on a Terraform apply failure or Kubernetes deployment crash? Don't spend hours guessing with generic, conflicting AI suggestions. Get a fast, accurate review and precise fix steps from a senior engineer within 30 minutes.

Review Rate: $5 for solution
Submit Your Incident Report

How It Works

01

Paste Your Error

Share your Terraform, Kubernetes, or cloud error logs via the form below.

02

Expert Review

I analyze your error, validate AI-generated suggestions, and identify the real fix.

03

Get Exact Steps

Receive the precise fix with clear next steps — no guesswork, no fluff.

What I Can Fix For You

Terraform Apply Failures

State lock issues, provider errors, resource conflicts, plan-vs-apply mismatches

Kubernetes Errors

CrashLoopBackOff, ImagePullBackOff, OOMKilled, pod scheduling failures

IAM Permission Issues

Access denied errors, role misconfigurations, service account problems

CI/CD Pipeline Failures

Build errors, deployment stage failures, artifact publishing issues

SSL / Ingress / DNS

Certificate errors, ingress routing issues, DNS resolution failures

Cloud Deployment Issues

Azure, AWS, GCP deployment errors, networking configs, resource provisioning

Built For Engineers Who Need Answers Now

Junior DevOps Engineers
Developers Deploying First Time
Startup Founders Doing Infra
Engineers Blocked at Work
Interview Prep Candidates

Why Not Just Ask AI?

AI Alone

  • 5 possible answers, no clarity
  • Generic documentation links
  • Conflicting fixes
  • No context awareness
  • You're still guessing
VS

Expert + AI

  • One correct answer
  • Validated against real experience
  • Exact next steps
  • Context-aware analysis
  • 10+ years of production debugging

See How I Help Where AI Fails

Here are real-world troubleshooting scenarios where AI gave generic or wrong suggestions, and how my manual review resolved them.

More on GitHub
kubectl logs auth-service-xyz12 
1[info] Initializing Auth service configuration...
2[info] Connecting to database host: db-prod:5432
3[error] Fatal: database connection failed: connection refused to host "db-prod"
4[error]   at client.connect (/app/node_modules/pg/lib/client.js:12:15)
5[error]   at startApplication (/app/server.js:45:9)
6[info] Process exited with status code 1. Crashing.
What AI suggested
  • "The database service is down. Verify PostgreSQL is running by ssh-ing to db-prod host."
  • "Restart the database instance or check credentials in application.properties."
  • "Check if security groups allow port 5432 ingress between backend and DB subnet."
Why AI failed: Couldn't inspect the active Kubernetes Service names and assumed a server-level networking down-time.
How I solved it

I inspected the helm templates. The PostgreSQL service in Kubernetes was actually named postgres-db-service, but the auth-service deployment ConfigMap environment variable DB_HOST was referencing the legacy hostname db-prod. I updated the ConfigMap definition to match the active Service DNS name. Fixed in 2 minutes.

terraform apply 
1Error: Error acquiring the state lock: ResourceGroupNotFound
2 Lock Info:
3   ID:        e34a6e87-cb29-4d64-a745-f0ea910546cb
4   Path:      tfstate-storage-container/terraform.tfstate
5   Operation: Action: Create
6   Who:       github-runner-01@runner-pool
7   Created:   2026-05-29 12:30:15 UTC
What AI suggested
  • "Run 'terraform force-unlock e34a6e87-cb29-4d64-a745-f0ea910546cb' immediately."
  • "Delete the backend lease configuration from the tfstate file manually."
  • "Upgrade your HashiCorp Terraform CLI version to resolve locking API changes."
Why AI failed: Promoted high-risk commands (force-unlock) without advising safety protocols or check-ups on running processes.
How I solved it

I advised against immediate force-unlocking to prevent state corruption. Checked GitHub Actions and found that the runner container was terminated midway due to a spot-instance eviction. Once verified no process was running, I safely cleared the lock lease metadata key in Azure Blob Storage, implemented lock-timeouts, and setup state recovery configs. Saved state corruption in 4 minutes.

aws s3 cp test.txt s3://secure-data-bucket/ 
1upload failed: ./test.txt to s3://secure-data-bucket/test.txt
2An error occurred (AccessDenied) when calling the PutObject operation.
3[DEBUG] User: app-ec2-runner-role is not authorized
4        to perform: s3:PutObject on resource: "arn:aws:s3:::secure-data-bucket/test.txt"
What AI suggested
  • "Attach 'AmazonS3FullAccess' managed policy to the app-ec2-runner-role."
  • "Disable S3 Block Public Access configurations on secure-data-bucket."
  • "Add s3:PutObjectAcl permissions inside your IAM Role inline policies."
Why AI failed: Suggested widening S3 bucket access to 'public' (security violation) without diagnosing encryption keys.
How I solved it

The IAM policy already had proper S3 permissions. The bucket, however, was configured with SSE-KMS custom keys. The custom KMS Key policy did *not* designate the application's EC2 IAM Role as a 'Key User', restricting the key use. I added kms:GenerateDataKey and kms:Decrypt rights to the KMS policy for the specific IAM role. Resolved securely in 5 minutes.

nginx-ingress-controller logs 
1[error] connect() failed (111: Connection refused) while connecting to upstream
2  client: 10.244.0.1, server: app.example.com, request: "GET /api/users HTTP/1.1"
3  upstream: "http://10.244.1.45:8080/api/users"
4  host: "app.example.com"
What AI suggested
  • "Restart the Ingress controller pods, they might have lost routing state."
  • "Increase proxy_read_timeout and proxy_connect_timeout in Nginx ConfigMap."
  • "Reinstall ingress-nginx chart; check if coreDNS is resolving backend pods."
Why AI failed: Recommended heavy infrastructure restarts rather than diagnosing service-level port setups.
How I solved it

I verified the backend pods were healthy and listening on port 8080. However, the Kubernetes Service exposing them was mapped to port 80 (targeting targetPort 8080). The Ingress YAML manifest was incorrectly routing directly to servicePort 8080 instead of servicePort 80. I corrected the Ingress backend reference. Fixed in 3 minutes. More on GitHub

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