●Technology Expertise

Cloud Architecture
Development.

Expert Cloud Architecture development with deep production experience. From architecture decisions to performance optimization, I help teams build systems that scale.

cloud architectaws developercloud infrastructure consultantdevops engineerserverless developercloudflare developer

●Expertise Level

Cloud architect with certifications in AWS (Solutions Architect Professional) and hands-on experience across AWS, GCP, and Cloudflare. Designed systems handling 50M+ monthly requests, implemented zero-downtime deployments with blue-green strategies, and reduced cloud costs by 60% through right-sizing and reserved capacity planning.

●When to Use Cloud Architecture

Designing systems that must scale from 100 to 100,000 users without architecture changes

Implementing multi-region deployments for disaster recovery and latency optimization

Building serverless architectures where pay-per-use economics outweigh always-on servers

Creating edge-first applications that serve content from 200+ global PoPs for sub-50ms latency

Designing microservices that need independent scaling, deployment, and technology choices

Implementing hybrid cloud strategies for compliance (data residency) or cost optimization

Building event-driven architectures with async processing and decoupled services

●Best Practices

Start simple: monolith on managed services (RDS, Cloud Run) → extract services only when scaling demands

Use infrastructure as code (Terraform, Pulumi) from day one—manual console changes don't scale

Implement the 12-factor app principles: config in environment, stateless processes, port binding

Design for failure: circuit breakers, retry with exponential backoff, graceful degradation

Use CDN edge caching aggressively—static assets, API responses with proper Cache-Control headers

Implement cost monitoring and alerts—cloud bills can 10x overnight from a bug or attack

Choose regions based on customer location, compliance requirements, and service availability

●Common Pitfalls to Avoid

Over-engineering: starting with Kubernetes when a single VPS handles your traffic—complexity has maintenance cost

Ignoring egress costs—moving data between regions or clouds can cost more than compute

Not understanding cold starts—Lambda/Cloud Functions add 100-500ms latency on first invocation

Using managed services without understanding pricing tiers—Aurora Serverless v1 scales to $0 but can also scale to $10K/day

Neglecting observability—distributed systems need distributed tracing, not just logs

Assuming cloud providers are always available—design for AZ failures and have runbooks ready

Not implementing proper IAM—overly permissive roles are the #1 cloud security vulnerability

●Ideal Project Types

Global SaaS platforms

High-traffic consumer applications

Enterprise integration platforms

Real-time data processing pipelines

Multi-tenant B2B platforms

Edge computing applications

●Complementary Technologies

Terraform or Pulumi (infrastructure as code)

Docker and Kubernetes (containerization)

Cloudflare (CDN, Workers, R2)

AWS Lambda or Cloud Run (serverless)

DataDog or Grafana Cloud (observability)

GitHub Actions or GitLab CI (CI/CD)

●Real-World Example

Case Study

The TraceForge deployment showcases pragmatic cloud architecture. The service runs on Cloudflare Pages (frontend) with a Python FastAPI backend on a dedicated GPU server. Rather than over-engineering with Kubernetes, I chose a simple architecture: Cloudflare handles global CDN, DDoS protection, and edge caching for the static Next.js app. The API runs behind Cloudflare Tunnel (zero-trust access without public IP), with R2 for file storage (no egress fees). For the GPU-intensive vectorization, requests go through a Redis queue, allowing the single GPU server to process jobs without timeout issues. The clever part: Cloudflare Workers handle request validation and queue submission at the edge, returning job IDs in <50ms globally, while the actual processing happens asynchronously. Cost breakdown: $0 for Pages hosting, $5/month for Workers, $0.015/GB for R2 storage—total cloud bill under $20/month despite serving 100K+ conversions. The architecture handles traffic spikes gracefully because the queue absorbs bursts while the GPU processes at constant throughput.

●Ready to Build?

Let's discuss your
Cloud Architecture project.

Whether you're starting fresh, migrating an existing system, or need architectural guidance, I can help you build with Cloud Architecture the right way.

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