Proven Results for Real Businesses

Challenge

Manual deployments causing 4-hour downtime during releases, inconsistent environments leading to production bugs.

Approach

• Implemented Kubernetes cluster on AWS EKS
• Built automated CI/CD pipeline with GitLab CI
• Set up monitoring with Prometheus & Grafana
• Implemented blue-green deployment strategy

Outcomes

Challenge

Legacy on-premise infrastructure with high maintenance costs and limited scalability for growing user base.

Approach

• Designed multi-region AWS architecture
• Implemented Terraform for IaC
• Set up compliant security controls
• Migrated databases with zero data loss

Outcomes

Challenge

Development team spending 30% of time on infrastructure issues instead of feature development.

Approach

• Implemented GitOps workflow with ArgoCD
• Automated testing and quality gates
• Self-healing Kubernetes deployments
• Developer self-service environments

Outcomes

Challenge

Manual data processing taking weeks, no ML pipeline for predictive analytics.

Approach

• Built MLOps pipeline with Kubeflow
• Automated data ingestion & processing
• Deployed real-time prediction APIs
• Integrated monitoring for model drift

Outcomes