DevOps • SRE • Platform Engineering • Cloud Automation

Building reliable, scalable systems.

I'm Franklin, a DevOps and Site Reliability Engineer focused on CI/CD automation, Kubernetes platforms, observability, cloud infrastructure, and production-style engineering systems that stay stable at scale.

Engineering Focus

I build systems around reliability, automation, deployment safety, observability, and repeatable platform patterns.

Production-Style DevOps

CI/CD workflows with promotion, rollback, health checks, approvals, version tracking, and operational automation.

SRE & Observability

Metrics, dashboards, logs, alerts, runbooks, SLOs, error budgets, and burn-rate based incident response.

Platform Engineering

Kubernetes-based platforms, GitOps workflows, service templates, developer self-service, and delivery standards.

Core Strengths

The main engineering areas I focus on across my personal and portfolio projects.

SRE, Reliability & Observability

Prometheus, Grafana, Alertmanager, Loki, metrics, dashboards, alerts, incident workflows, runbooks, SLOs and operational readiness.

Platform Engineering

Kubernetes, GitOps, Helm, service templates, internal developer platforms, platform governance, and self-service delivery workflows.

DevOps Automation

GitHub Actions, Jenkins, Slack-driven workflows, Bash scripting, Ansible automation, deployment orchestration, and rollback systems.

Cloud & Full-Stack Deployment

AWS EC2, Lambda, API Gateway, ECS Fargate, RDS, CloudWatch, Terraform, Vercel, Railway, and Supabase.

AWS EC2 Lambda API Gateway ECS Fargate RDS CloudWatch Docker Kubernetes Terraform Ansible GitHub Actions Jenkins Prometheus Grafana Alertmanager Loki FastAPI Redis PostgreSQL Supabase Vercel Railway

Featured Projects

Selected DevOps, SRE, backend, automation, and platform engineering projects.

Travel SRE AI Agent Platform

Kubernetes-native travel booking microservice platform with observability, SLOs, burn-rate alerts, Slack alerting, and controlled auto-remediation.

🧠
Kubernetes TypeScript Prometheus Grafana Loki Auto-Remediation
View Repository →

Kubernetes Internal Developer Platform

Kubernetes-based IDP with GitOps delivery, Helm standards, environment overlays, observability foundations, and a service template generator.

☸️
Kubernetes GitOps Helm Service Templates Self-Service
View Repository →

DevOps Deployment Automation

Slack-controlled CI/CD pipeline using GitHub Actions, AWS Lambda, API Gateway, deployment scripts, version tracking, health checks, and rollback.

🚀
GitHub Actions AWS Lambda API Gateway Docker Rollback
View Repository →

Prometheus + Grafana SRE Platform

Full observability and alerting platform with FastAPI metrics, Prometheus scraping, Grafana dashboards, Blackbox Exporter, Alertmanager, and Slack alerts.

📊
FastAPI Prometheus Grafana Alertmanager Blackbox Exporter
View Repository →

Finance Tracker API

Production-ready FastAPI backend deployed with Docker and Terraform to AWS ECS Fargate, using secure networking, RDS PostgreSQL, IAM, and CloudWatch logs.

💰
FastAPI Docker Terraform ECS Fargate RDS
View Repository →

Python Background Job Microservice

FastAPI, Redis, and RQ microservice architecture for asynchronous job processing, status tracking, result retrieval, and Docker Compose orchestration.

⚙️
FastAPI Redis RQ Docker Compose Linux
View Repository →

Ansible Automation Suite

Collection of 15+ production-style Ansible playbooks for Linux server setup, application deployment, maintenance workflows, templating, handlers, and reusable automation.

🛠️
Ansible Linux Automation Playbooks
View Repository →

Number Guess Game CI/CD Pipeline

Java Servlet application with a full Jenkins pipeline, Maven build, SonarQube quality gates, Nexus artifact storage, Tomcat deployment, and AWS EC2 hosting.

🎮
Jenkins Maven SonarQube Nexus Tomcat EC2
View Repository →

Current Labs & Private Work

Selected private or in-progress work shown at a high level without exposing restricted repositories, internal code, or sensitive implementation details.

Platform Engineering Maturity Lab

Private reference project for building platform engineering practices in small, reviewable increments across governance, CI/CD, infrastructure, runtime, operations, security, policy, and release readiness.

🏗️
  • Repository standards and engineering governance
  • CI/CD and release automation patterns
  • Infrastructure as Code and Kubernetes delivery
  • Observability, runbooks, incident response, and SLO review
  • Security guidance, policy-as-code, and controlled change management
Private In Progress Platform Maturity Governance Runbooks

Face Recognition Platform

Private backend and model-service architecture using InsightFace, FastAPI, Docker, AWS, embedding generation, vector search, secure APIs, and user enrollment workflows.

🧠
Private FastAPI Docker AWS Vector Search

Production Patterns I Build

Practical platform and reliability patterns demonstrated across my projects.

Deployment Safety Promotion workflows, Slack approvals, health checks, stateless rollback, and version tracking.
Observability & Incident Response Metrics, logs, dashboards, alerts, SLOs, burn rates, runbooks, and escalation workflows.
Developer Self-Service Service templates, environment overlays, Helm patterns, metadata enrichment, and platform standards.
Cloud-Native Infrastructure AWS networking, IAM, ECS Fargate, RDS, CloudWatch, Docker, Terraform, and secure deployment layouts.
Microservice Operations API gateways, background workers, Redis queues, service health, structured logging, and runtime debugging.
Platform Governance CODEOWNERS, issue templates, PR standards, Dependabot, branch protection, security guidance, and maturity tracking.

Let’s build reliable systems.

I’m focused on DevOps, SRE, cloud infrastructure, platform engineering, CI/CD automation, Kubernetes delivery, observability, and production-ready backend systems.