Lead DevOps Engineer crafting cloud infrastructure that scales 11+ years turning chaos into automation π
I build resilient cloud systems and automate everything that shouldn't be done manually. Currently focused on container orchestration, MLOps pipelines, and making infrastructure boring (in a good way).
graph LR
A[π§βπ» Code] --> B[π§ Build]
B --> C[π§ͺ Test]
C --> D[π¦ Package]
D --> E[π Deploy]
E --> F[π Monitor]
F --> G[π Optimize]
G --> A
Infrastructure as Code (IaC)
- Terraform for multi-cloud provisioning
- Ansible for configuration management
- CloudFormation for AWS-native deployments
- Git-based version control for all infrastructure
CI/CD Pipeline
Pipeline:
- Code Commit: Git hooks, branch protection
- Build Stage: Docker multi-stage builds, dependency caching
- Test Suite: Unit tests, integration tests, security scans
- Quality Gate: SonarQube analysis, coverage checks
- Packaging: Container registry, artifact management
- Deployment: Blue-green, canary, rolling updates
- Monitoring: Real-time metrics, log aggregationContainer Orchestration
- Development: Docker Compose for local environments
- Staging: Kubernetes with Helm charts
- Production: EKS/GKE with GitOps (ArgoCD/Flux)
- Service mesh with Istio for microservices
Monitoring Stack
| Component | Tools |
|---|---|
| π Metrics | Prometheus, Grafana |
| π Logs | ELK Stack, Loki |
| π Traces | Jaeger, Zipkin |
| π¨ Alerts | AlertManager, PagerDuty |
| π APM | New Relic, DataDog |
Security (DevSecOps)
- Code Scanning: SonarQube, Snyk
- Container Security: Trivy, Aqua Security
- Secrets Management: HashiCorp Vault, AWS Secrets Manager
- Compliance: BlackDuck, OWASP dependency checks
- K8s AI/ML Cluster - MLOps pipelines for model training and deployment
- Everything as Code - Full IaC migration with Terraform/Ansible
- Container Migration - Legacy app containerization
- Smart Home DevOps - IoT monitoring with Prometheus
Currently Pursuing:
- π― AWS Solutions Architect Professional
- π― Certified Kubernetes Administrator (CKA)
- π― MLOps Specialization
def my_devops_philosophy():
while True:
if manual_process.exists():
automate(it)
elif already_automated():
monitor(it)
else:
scale(it)
sleep(0) # Never stop improvingI'm always interested in discussing:
- π Open source DevOps tools
- βΈοΈ Kubernetes optimization
- π° Cloud cost optimization
- π€ AI/ML infrastructure