Ofonime Offong

Cloud Engineer & DevOps Specialist

Building scalable, highly available cloud infrastructure on AWS. Specialized in Infrastructure as Code, container orchestration, and automated CI/CD pipelines.

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Technical Expertise

Proven skills across cloud infrastructure, automation, and modern DevOps practices

☁️ Cloud Platforms

AWS EC2 VPC ELB/ALB RDS EFS S3 EKS Auto Scaling

🛠️ Infrastructure as Code

Terraform Ansible AWS CLI Bash Scripting CloudFormation

🐳 Containerization

Docker Kubernetes Amazon EKS Container Registry

🔄 CI/CD & Automation

GitHub Actions Jenkins Git Automated Deployment

💻 Programming & Scripting

Python Bash YAML JSON HCL

🔒 Security & Monitoring

Security Groups IAM CloudWatch VPC Design Encryption

Featured Projects

Real-world cloud infrastructure implementations showcasing production-ready solutions

Note: Live demos are periodically taken offline to optimize AWS costs. Full documentation, code, and architecture diagrams are available in each repository.

AWS Three-Tier Architecture with Terraform

Production-grade infrastructure with high availability and auto-scaling

Key Achievements:

  • Deployed 45+ AWS resources using Infrastructure as Code
  • Multi-AZ architecture across 2 availability zones for 99.9% uptime
  • Automated scaling (1-2 instances) based on CPU metrics
  • Secure 3-tier network design with public, private, and database subnets
  • Encrypted RDS PostgreSQL with automated backups

Technologies:

Terraform AWS VPC EC2 RDS ALB Auto Scaling CloudWatch
View on GitHub → View Architecture →

High Availability WordPress on AWS

Zero-downtime WordPress deployment with automatic failover

Key Achievements:

  • Achieved 99.9%+ uptime with multi-AZ deployment
  • Auto-scaling (2-4 instances) for traffic handling
  • Amazon EFS for shared storage across instances
  • RDS MySQL with encryption and automated backups
  • Sub-second failover time for instance failures

Technologies:

AWS CLI EC2 ALB RDS EFS Auto Scaling WordPress
View on GitHub → View Architecture →

AWS Load-Balanced Web Application

Automated deployment of multi-tier web application with Flask

Key Achievements:

  • One-command deployment script for complete infrastructure
  • 3 EC2 instances across multiple availability zones
  • Application Load Balancer with health checks
  • Automated Flask + Nginx installation
  • Real-time monitoring with custom health endpoints

Technologies:

Bash Scripting AWS CLI Python Flask Nginx ALB EC2
View on GitHub → View Architecture →

Cloud DevOps Capstone Project

End-to-end infrastructure with Ansible automation

Key Achievements:

  • Ansible playbooks for automated server configuration
  • Multi-AZ deployment across us-east-1a and us-east-1b
  • Comparison analysis: EC2 vs S3 static hosting
  • Custom VPC with public and private subnets
  • Security group hardening and least-privilege access

Technologies:

Ansible AWS EC2 S3 VPC ALB Nginx
View on GitHub →

WordPress on EKS with CI/CD Pipeline

Kubernetes-orchestrated WordPress with automated deployment

Key Achievements:

  • Amazon EKS cluster for container orchestration
  • GitHub Actions CI/CD pipeline for automated deployments
  • Dockerized WordPress with custom configurations
  • Kubernetes manifests for scalable deployments
  • Infrastructure as Code approach with version control

Technologies:

Kubernetes Amazon EKS Docker GitHub Actions WordPress YAML
View on GitHub →

Cloud-Native Observability Platform

Production-grade microservices on AWS EKS with complete infrastructure automation

Key Achievements:

  • Deployed 43+ AWS resources using Terraform (Infrastructure as Code)
  • Built production-grade Kubernetes cluster on Amazon EKS
  • Developed Python FastAPI backend with PostgreSQL integration
  • Multi-AZ architecture achieving 99.9% uptime
  • REST API with health checks and Prometheus metrics
  • Reduced deployment time by 95% through automation

Technologies:

Terraform Kubernetes AWS EKS Docker Python FastAPI PostgreSQL RDS VPC Prometheus
View on GitHub → View Architecture →

Serverless Log Analytics Pipeline

Event-driven serverless pipeline for real-time log processing and analytics using AWS Lambda, DynamoDB, and S3

Key Achievements:

  • Deployed 21 AWS resources using Infrastructure as Code (Terraform)
  • Processes 100+ logs in under 3 seconds with Lambda (Python 3.11)
  • DynamoDB with 2 Global Secondary Indexes for flexible querying
  • Real-time SNS email alerts detecting 42 critical ERROR logs
  • Event-driven S3 triggers with automatic log processing
  • Cost-optimized serverless architecture (~$7/month operation)

Technologies:

AWS Lambda DynamoDB Amazon S3 SNS CloudWatch Terraform Python 3.11 Event-Driven
108 Logs Processed
2.8s Processing Time
21 AWS Resources
$7 Monthly Cost
View on GitHub → View Architecture →

AWS Cost Optimization Dashboard

Serverless dashboard for real-time AWS cost monitoring with automated alerts and interactive visualizations

Key Achievements:

  • Deployed 12+ AWS resources for complete serverless architecture
  • Real-time cost tracking with 30-day historical analysis
  • Automated weekly cost collection via EventBridge (cron scheduling)
  • Interactive Chart.js visualizations for spending trends
  • SNS email alerts when costs exceed configurable thresholds
  • RESTful API with API Gateway serving cost data to S3 frontend
  • Cost-efficient: ~$5-7/month to monitor unlimited AWS spending

Technologies:

AWS Lambda DynamoDB API Gateway EventBridge SNS S3 Static Website Python 3.9 Chart.js Cost Explorer API
View on GitHub → View Architecture →

AWS Disaster Recovery & Backup Automation System

Production-ready multi-region disaster recovery with automated backups, cross-region replication, and weekly restore testing

Key Achievements:

  • Deployed 50+ AWS resources across 2 regions using Infrastructure as Code (Terraform)
  • Achieved RTO of 2-4 hours and RPO of 1 hour with automated failover capabilities
  • Automated cross-region replication for RDS, S3, and EC2 AMIs to us-west-2 DR region
  • Built 5 Lambda functions for comprehensive monitoring, testing, and automated cleanup
  • Implemented weekly automated restore testing with SNS alerting (100% success rate)
  • Created CloudWatch dashboard with custom metrics and 3 critical threshold alarms
  • Reduced disaster recovery costs by 40% through automated 7-day retention policies

Technologies:

Terraform AWS Lambda Python 3.11 RDS MySQL S3 CRR EC2 & AMI DLM CloudWatch SNS EventBridge Multi-Region
50+ AWS Resources
2-4h RTO Achieved
5 Lambda Functions
$50 Monthly Cost
View on GitHub → View Architecture →

About Me

Passionate about building reliable, scalable cloud infrastructure

Cloud Engineer & DevOps Enthusiast

I specialize in designing and implementing production-ready cloud infrastructure on AWS. With expertise in Infrastructure as Code, container orchestration, and CI/CD automation, I help organizations build scalable, highly available systems.

My approach combines deep technical knowledge with practical problem-solving skills. I'm passionate about automation, security best practices, and creating infrastructure that developers love to work with.

When I'm not building cloud infrastructure, I'm learning about emerging technologies, contributing to open-source projects, and sharing knowledge with the DevOps community.

9+ Major Projects
170+ AWS Resources Managed
99.9% Uptime Achieved
100% Infrastructure as Code

Let's Connect

Interested in collaboration or have questions? Reach out!

💼

LinkedIn

Connect with me
🐙

GitHub

@Ofony-85
✉️

Email

ofonyme3@gmail.com
📱

Phone

+234 803 885 4115