AWS
Production-grade cloud infrastructure that scales with your business
$ cat services.json
Cloud Architecture Design
Design AWS infrastructure for reliability, security, and cost efficiency.
- Architecture diagrams and documentation
- Service selection and sizing
- High availability design
- Disaster recovery planning
- Security architecture
Infrastructure as Code
Implement reproducible infrastructure with Terraform and CloudFormation.
- Terraform modules
- CI/CD integration
- Environment management
- State management
- Drift detection
Cost Optimization
Reduce AWS costs while maintaining performance and reliability.
- Cost analysis and recommendations
- Right-sizing instances
- Reserved capacity planning
- Spot instance strategies
- Monitoring and alerts
$ man aws
My AWS Service Expertise
Compute
- EC2: Instance selection, auto-scaling, spot strategies
- Lambda: Serverless functions, event-driven architectures
- ECS/EKS: Container orchestration at scale
Data
- RDS: PostgreSQL, MySQL with read replicas
- DynamoDB: NoSQL for high-throughput workloads
- ElastiCache: Redis for caching and sessions
- S3: Object storage, static hosting, lifecycle policies
Networking
- VPC: Multi-AZ design, private subnets
- CloudFront: CDN, edge caching
- API Gateway: REST and WebSocket APIs
- Route 53: DNS, health checks, routing policies
Security-First Approach
Every AWS architecture I design includes:
- IAM: Least-privilege access policies
- VPC: Network isolation and security groups
- KMS: Encryption at rest and in transit
- Secrets Manager: Secure credential storage
- CloudTrail: Audit logging
- GuardDuty: Threat detection
$ cat README.md
AWS Services I Work With
| |
AWS Architecture Patterns I Implement
| Pattern | Use Case | Services |
|---|---|---|
| Serverless API | Low-traffic, event-driven | Lambda, API Gateway, DynamoDB |
| Container Platform | Microservices at scale | EKS, ECR, ALB, RDS |
| Data Pipeline | ETL, analytics | S3, Glue, Athena, Redshift |
| AI/ML Platform | Model training and serving | SageMaker, EKS with GPU, S3 |
| Multi-Region HA | Global, fault-tolerant | Route 53, CloudFront, RDS Multi-AZ |
Cost Optimization Strategies
I’ve helped companies reduce AWS costs by 40-50% through:
- Right-sizing: Match instance types to actual needs
- Reserved Instances: Commit for 1-3 years for steady workloads
- Spot Instances: Use for fault-tolerant workloads
- Auto-scaling: Scale down during off-hours
- Storage Tiering: S3 lifecycle policies for cold data
- Architecture Review: Eliminate over-provisioning
Related
Experience:
Case Studies: Cannabis E-commerce Platform | IoT Agriculture Data Pipeline | Django CMS Content Automation
Related Technologies: Docker/Kubernetes, Python, PostgreSQL
$ ls -la projects/
AI SaaS Platform
@ FlowriteScale from 10K to 100K users while controlling infrastructure costs.
AWS with Lambda for API endpoints, RDS for data, ElastiCache for sessions, and S3 for assets. Implemented cost optimization strategies.
40-50% cost reduction, seamless scaling during growth.
Cannabis Delivery Platform
@ Drop DeliveryBuild scalable e-commerce and logistics platform across 6 states.
AWS EC2 with auto-scaling, RDS PostgreSQL, S3 for media, CloudFront for delivery, and comprehensive monitoring.
Handled $30M+ in orders, 354% year-over-year growth.
FinTech Transaction System
@ Sutraq TechnologiesBuild secure infrastructure for SME finance and micro-savings platform.
AWS with VPC isolation, encrypted RDS, Lambda for transaction processing, and comprehensive security controls.
99.9% uptime, PCI-compliant architecture.
$ diff me competitors/
Design Your Cloud Architecture
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