DevOps · Automation · Software Delivery

A clear path from technical problem to practical handoff.

I help with focused DevOps troubleshooting, automation, integrations, and static web work—structured as small, testable outcomes with useful documentation.

  • Defined acceptance checks
  • Reproducible handoff
  • Sensitive material stays private

Services

Start with the smallest useful outcome.

Each engagement begins with the current state, a concrete deliverable, and a way to verify that the work is complete.

DevOps troubleshooting

Diagnose Linux, Docker, CI/CD, deployment configuration, DNS, and SSL issues, then document the fix and verification steps.

Best for: a blocked delivery path with a clear symptom.

Automation & integrations

Build focused Python or Node.js utilities, n8n workflows, API connections, webhooks, and scheduled processes.

Best for: a repetitive workflow with known inputs and outputs.

Static web delivery

Create responsive, accessible landing pages and focused prototypes with fast loading, validation, and concise setup notes.

Best for: a well-defined public page or small interface.

Selected work

Evidence without inflated claims.

These summaries are limited to supplied material identified as a lab or learning project. They make no commercial, production, or performance claim.

DevOps lab

Cloud & Kubernetes Platform Lab

Problem
Explore a repeatable infrastructure workflow while separating source, deployment configuration, sensitive inputs, and state.
Solution
Structured an AWS and EKS learning lab with Terraform, then modeled component delivery with Helm and ArgoCD.
Tools
AWS, Terraform, EKS, Kubernetes, Helm, ArgoCD, and Git.
Result
A documented lab workflow with clear configuration boundaries. This is a learning-lab result, not a production outcome.

Linux learning project

System Maintenance Toolkit

Problem
Bring monitoring, backups, cleanup, permissions, logs, and recurring tasks together in one Linux administration project.
Solution
Built Bash scripts and an interactive menu for system measurements, backup retention, cleanup routines, logging, and cron configuration.
Tools
Bash, Linux, cron, and standard filesystem and process utilities.
Result
A reusable learning toolkit showing the workflow end to end. The original repository remains preserved; this page presents only a summary.

Process

A visible route to done.

The work stays reviewable from the first definition of scope through the final handoff.

  1. 01Clarify

    Confirm the current state, constraints, deliverable, and acceptance check.

  2. 02Plan

    Choose a small first milestone and record assumptions before implementation.

  3. 03Build & verify

    Implement the change and collect evidence against the agreed outcome.

  4. 04Hand off

    Deliver reproducible setup, final files, and concise operating notes.

Contact

Bring a concrete problem.

Include the current stack, constraints, expected result, and any deadline. I’ll use that context to assess fit and define a practical first step.

View @navch45 on GitHub