Hi, I'm Harry Siddhu, a hands-on AWS Solution Architect with 18+ years of experience in solutions architecture, system design, software development, implementation etc. My superpower is continuous learning and exploring new technologies. I thrive on solving complex problems and delivering innovative solutions that drive business success.
Starting as a Backend Development Engineer with Java & Spring Boot, I transitioned into cloud technologies where I specialize in building and refactoring IT systems to unlock their full potential in the cloud.
- Cloud Architecture Design: Crafting scalable, secure, and cost-effective solutions tailored to business needs
- Cloud Migrations: Transforming monolithic applications into microservices and lift-and-shift migrations
- Infrastructure Automation: Utilizing CloudFormation and DevOps practices for consistent deployments
- Cost Optimization: Analyzing and optimizing cloud resources while maintaining performance
- Technical Leadership: Conducting training and fostering continuous learning culture
name: Harry Siddhu
role: AWS Hands-On Solution Architect
experience: 18+ years
location: Global
current_focus:
- Solution Architecture
- Generative AI & Agentic AI
- RAG Implementation
- AI Agents & MCP
- Kubernetes & EKS
- EKS Auto Mode & Karpenter- AWS Services: EC2, S3, VPC, RDS, DynamoDB, IAM, Route 53, CloudFormation, CloudFront, CloudWatch
- Migration Strategies: Lift-and-shift, Application modernization, Monolith to microservices
- AWS Migration Hub | Application Migration Service | Database Migration Service
- Infrastructure as Code: CloudFormation, Terraform
- DevOps Practices: CI/CD pipelines, automated deployments
- Monitoring & Optimization: Cost management, performance tuning
- Docker: Container management and deployment
- Kubernetes: Container orchestration platform
- Amazon ECS/Fargate | Amazon EKS | Karpenter
- AWS Lambda | API Gateway | SNS/SQS | Event-Driven Architecture
- Serverless Application Design | Cost-Effective Solutions
- Generative AI Solutions | RAG Implementation | AI Agents | MCP (Model Context Protocol)
- AWS AI/ML Services Integration
graph TD
A[Solution Architecture] --> B[Generative AI]
A --> C[Kubernetes & EKS]
B --> D[RAG Implementation]
B --> E[AI Agents & MCP]
C --> F[EKS Auto Mode]
C --> G[Karpenter]

