I specialize in keeping distributed systems healthy, observable, and resilient.
For the past 8+ years, I’ve supported mission‑critical payment platforms at enterprise scale — leading high‑severity incidents, improving reliability, and partnering with premier clients like Amazon, Apple, and Starbucks.
My work blends cloud fundamentals, operational excellence, and calm, structured incident leadership.
Now I’m building a modern, cloud‑focused portfolio that reflects the engineer I’ve become.
- Platform Reliability & Incident Response
- Cloud Operations (AWS)
- Observability & Monitoring
- Automation & Scripting
- Distributed Systems Troubleshooting
- Technical Communication & Runbooks
Cloud: AWS (EC2, S3, IAM, CloudWatch, Lambda)
Containers: Docker, Kubernetes
Observability: Datadog, Splunk, CloudWatch, ELK
Scripting: Bash, PowerShell, SQL
Languages: Python (learning), C (foundational)
Tools: Git, Jira, ServiceNow, Linux (RHEL/CentOS), Windows Server
Practices: ITIL, RCA, SLO thinking, operational readiness
A small API designed to simulate real‑world failures, generate structured logs, and demonstrate monitoring dashboards.
Focus: debugging, logs, alerts, dashboards, containerization.
A collection of scripts for log parsing, health checks, and simple remediation tasks.
Focus: reducing toil, operational efficiency, reliability.
Minimal IaC setup for EC2, IAM, S3, and CloudWatch alarms.
Focus: cloud fundamentals, infrastructure as code, monitoring.
These projects reflect the real work I do: diagnosing issues, improving reliability, and building clarity into complex systems.
- Strengthening my AWS + Terraform fundamentals
- Building a clean portfolio for Support/Platform/SRE roles
- Expanding my Python automation skills
- Documenting everything with clear, operational READMEs
Email: obi-work@tuta.io
GitHub: github.com/obnna