AWS and DevOps practitioner building cloud infrastructure, deployment pipelines, container platforms, operational automation, and production-support capabilities.
My work focuses on the path from infrastructure design to reliable operation:
- AWS architecture and infrastructure operations
- CI/CD pipeline implementation
- Docker and container deployment
- Kubernetes and Amazon EKS
- Linux and platform troubleshooting
- Monitoring, logging, health checks, and runtime validation
- DevSecOps controls across code, dependencies, images, and deployments
- Runbooks, rollback planning, and operational documentation
I am strengthening a public body of work around three areas:
- AWS infrastructure and container deployment
- CI/CD and DevSecOps delivery systems
- Linux and platform operations
Every project is documented as an implementation record: what I configured, how I validated it, what failed, how I investigated it, and what the result proves.
Deployed a multi-service application on Amazon Elastic Kubernetes Service using AWS CLI, eksctl, kubectl, Helm, AWS Identity and Access Management, OpenID Connect integration, the AWS Load Balancer Controller, and the Amazon Elastic Block Store Container Storage Interface driver.
The repository documents the infrastructure implementation and validation performed around an existing open-source application workload.
Implemented and validated a delivery pipeline involving Jenkins, Docker, Amazon EKS, SonarQube, Trivy, Helm, Argo CD, Prometheus, and Grafana.
The project focuses on the delivery system around the application: build automation, security checks, container delivery, Kubernetes deployment, GitOps visibility, monitoring, troubleshooting, and runtime evidence.
A local-first, cost-controlled platform operations environment built progressively:
NGINX
→ Docker
→ Apache
→ Tomcat
→ Java application
→ MySQL / MariaDB
→ Elasticsearch
With:
Docker Compose
Prometheus
Grafana
Loki
Alertmanager
Nagios
AWS EC2
Amazon S3
Amazon CloudWatch
The lab is designed to cover the complete operational cycle:
Build
→ Operate
→ Break
→ Troubleshoot
→ Recover
→ Document
- AWS Certified DevOps Engineer – Professional — In progress
- AWS Certified Solutions Architect – Associate
- AWS Certified Cloud Practitioner
AWS · Linux · Docker · Docker Compose · Kubernetes · Amazon EKS · Amazon ECS · Amazon ECR · GitHub Actions · Jenkins · NGINX · Terraform · Prometheus · Grafana · SonarQube · Trivy · Python · Boto3
- Runtime evidence before assumptions
- Repeatable infrastructure and deployment processes
- Secrets separated from source control
- Health checks, logs, metrics, and rollback built into delivery
- Clear ownership of failures and recovery
- Documentation that supports the next operator
- AI used as an engineering accelerator under human validation
I am beginning a consistent DevOps-focused open-source contribution practice through documentation corrections, deployment examples, CI workflows, tests, troubleshooting improvements, and operational fixes.