Serverless Cloud Engineering
I architect cloud infrastructure that runs itself — serverless functions, edge workers, and IaC pipelines that auto-scale to any load while keeping your AWS bill predictable. I have migrated teams from $40K/month EC2 fleets to sub-$4K serverless architectures without a single minute of downtime.
What you walk away with
- ✓Infrastructure-as-code in Terraform or CDK — fully repeatable, environment-parity guaranteed
- ✓Serverless architecture design — function decomposition, event routing, and cold-start mitigation
- ✓Edge deployment with Cloudflare Workers or Lambda@Edge for global latency reduction
- ✓Observability stack — structured logging, distributed tracing, alerting, and dashboards
- ✓CI/CD pipeline with preview environments, canary deployments, and automated rollback
- ✓Cost optimisation report with before/after projections
Engagement model
01
Infrastructure Review
Audit
1–2 weeks. Audit current infrastructure for cost, reliability, and scaling bottlenecks. Delivered as a written report with prioritised recommendations.
02
Target Architecture
Design
1–2 weeks. Define the target serverless architecture — function boundaries, event flows, and IaC structure.
03
Build & Migrate
Migration
6–16 weeks. Implement new infrastructure alongside existing — zero-downtime migration with gradual traffic shifting.
04
Performance & Cost Tuning
Optimise
2–4 weeks. Cost baseline vs. target comparison, performance profiling, and documentation handoff.
Recent case study
FluxDrive Decentralized Storage
99.999% durability across 3 regions.
Read the full case study →Frequently asked questions
- What cloud providers do you work with?
- AWS, GCP, and Azure — and Cloudflare for edge infrastructure. I am cloud-agnostic and will recommend the right provider for your existing stack and compliance requirements. Most of my clients end up on a primary cloud provider plus Cloudflare Workers for edge functions.
- How much can serverless actually reduce cloud costs?
- Typical savings range from 40% to 80% for workloads that are bursty or unevenly distributed across the day. The biggest wins come from eliminating idle EC2/ECS capacity and replacing always-on services with event-driven functions. The FluxDrive case study achieved 99.999% durability across 3 regions while dramatically reducing operational overhead.
- Will serverless architecture slow down local development?
- Not if it is designed well. I use tools like SST (Serverless Stack), AWS SAM, and Cloudflare Miniflare to provide fast local development loops with production-identical behaviour. The goal is zero friction between local, staging, and production environments.
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Ready to start a Serverless Cloud Engineering engagement?
Book a 30-minute strategy call. I will map out a scope and timeline specific to your situation.