I have more than 6.5 years of experience in traditional IT infrastructure, including server administration, production troubleshooting, and uptime-focused operations. Recently, I've been moving toward cloud and DevOps by building projects in a homelab as if they were production systems rather than focusing only on certification exams.
My first project is an end-to-end GitOps platform for a three-tier application on Azure. Terraform provisions the environment, the workload runs on Azure Kubernetes Service, Jenkins and Azure DevOps handle the CI side, and Argo CD manages continuous deployment. The cluster reconciles itself against the desired state stored in Git, and I avoid making direct changes inside the cluster.
My second project is a Python automation utility for processing complex PDF resumes. It extracts unstructured data, calls external REST APIs, and transforms the results according to selected target parameters. I've also added logging and error handling to prevent minor formatting differences from bringing down the workflow.
If you were reviewing these projects or interviewing me for a DevOps role, what weaknesses would you look for? I'm especially interested in production concerns I might be missing in a homelab, such as deployment promotion, testing, rollback strategies, security, reliability, observability, and infrastructure management.
3 Answers
For the Python project, make the failure cases visible and testable. Consider malformed or password-protected PDFs, scanned documents that need OCR, unexpected API responses, rate limits, timeouts, duplicate submissions, partial processing, and sensitive data exposure in logs. A production-ready version would probably need retries with backoff, idempotency, input validation, metrics, a queue for longer jobs, and clear handling for documents that cannot be parsed reliably. For interviews, explaining those trade-offs is often more valuable than simply showing that the happy path works.
You could also investigate managing some cloud resources through Kubernetes using operators or Crossplane. Terraform is a perfectly practical choice and is widely used, but it usually runs as an externally triggered workflow rather than continuously reconciling infrastructure from the cluster. Crossplane can make infrastructure declarations behave more like application resources in a GitOps setup. It’s not automatically better for every organization, but comparing both approaches would make for a stronger design discussion.
The GitOps foundation sounds solid, but the next step should be a real promotion model across development, staging, and production. Add automated integration or smoke tests before promotion, define approval gates where appropriate, and demonstrate safe rollbacks. It would also be useful to explain how secrets, environment-specific configuration, backups, disaster recovery, and monitoring are handled rather than stopping at successful synchronization.
That makes sense. I’ve focused mostly on getting the end-to-end flow working, so adding promotion stages, integration tests, and rollback scenarios is a good next iteration.
Managing infrastructure directly through Kubernetes is new to me. I’ve mainly used Terraform for provisioning, so I’ll look into Crossplane and compare its reconciliation model with my current approach.