Cloud Architecture & Infrastructure

Infrastructure that scales without surprises

We design, migrate, and operate cloud infrastructure on AWS, GCP, Azure, and Cloudflare. Architecture decisions are documented, costs are managed from day one, and every system has a tested recovery path.

Where we build and operate

We are not tied to a single provider. We choose—and combine—platforms based on your workload requirements, existing investments, and cost targets.

Primary

AWS

ECS, Lambda, RDS, S3, CloudFront, VPC, IAM

Primary

GCP

Cloud Run, Firebase, BigQuery, GKE, Cloud SQL

Azure

App Service, AKS, Azure Functions, Cosmos DB

Cloudflare

Workers, Pages, R2, D1, WAF, Tunnels

Vercel

Edge Functions, ISR, Next.js deployments

Supabase

Postgres, Auth, Realtime, Storage, Edge Functions

Cloud services we deliver

Cloud Migration

Lift-and-shift for speed or re-architecture for long-term efficiency. We plan migrations that minimize downtime and technical risk.

FinOps & Cost Audits

Most cloud bills are 30–40% higher than they need to be. We audit resource utilization, implement tagging, and find savings within weeks.

Serverless & Edge

Lambda, Cloud Functions, Vercel Edge, and Cloudflare Workers for workloads where managing servers is unnecessary overhead.

Compliance Readiness

SOC 2, HIPAA, and GDPR readiness assessments. We help you identify gaps, implement controls, and document evidence for auditors.

Disaster Recovery

RTO and RPO definition, backup strategy, cross-region failover, and tested recovery runbooks—not just theory.

Multi-Cloud Architecture

Reduce vendor lock-in and optimize cost and latency by distributing workloads across AWS, GCP, and Cloudflare strategically.

A typical production stack we design

Every engagement produces a tailored architecture diagram. This shows the common patterns we implement for web products at scale.

EDGE LAYERCloudflare WAF + CDNEdge FunctionsAPPLICATION LAYERNext.js (Vercel)API (ECS / Fargate)Lambda (async)Queue (SQS / Pub/Sub)DATA LAYERRDS PostgreSQLRedis (ElastiCache)S3 / GCSBigQuery (analytics)OBSERVABILITYPrometheus + GrafanaSentryOpenTelemetryPagerDuty

AWS vs GCP vs Azure

Service-for-service equivalents for the workloads we most commonly design for.

FactorAWSGCPAzure
Compute (containers)ECS / EKS / FargateCloud Run / GKEAKS / Container Apps
Serverless functionsLambdaCloud Functions / Cloud RunAzure Functions
Managed PostgresRDS / AuroraCloud SQL / AlloyDBAzure Database for PostgreSQL
Object storageS3Cloud StorageBlob Storage
CDN / EdgeCloudFrontCloud CDNAzure CDN / Front Door
Cost modelPay-per-use, complex pricingPer-second billing, sustained discountsPay-per-use, hybrid benefit for Windows
Best forBreadth of services, largest ecosystemData, ML, Kubernetes-heavy workloadsEnterprises with Microsoft stack

What makes the work different

We design for what you need in year two, not just the demo

Cloud architectures that look elegant on a whiteboard often become expensive or brittle in production. We have designed systems at scale and know where the hidden costs and single points of failure appear as traffic grows. Every architecture we deliver has a documented growth path.

Cloud cost optimization is part of every engagement

We implement tagging, rightsizing, reserved instance planning, and auto-scaling from the start—not as an afterthought after the bill arrives. For most clients, these changes pay for a significant portion of our engagement within the first quarter.

We write the runbooks the team will actually use

A cloud architecture is only as good as the people who operate it under pressure. We document recovery procedures, scaling triggers, and incident response playbooks in plain language—tested with a simulated runthrough before we hand off.

“The FinOps audit identified 35% in savings within the first week. They found reserved instance opportunities and unused resources we had overlooked for months.”

— VP Engineering

SaaS Platform, AWS multi-region

Common questions

We start with an inventory and dependency mapping of the existing system, then define the migration strategy: lift-and-shift (fastest, highest risk carryover), re-platform (modest refactor for cloud benefits), or re-architect (most work, best long-term outcome). For most organizations, a hybrid approach is right—lift-and-shift critical systems first to establish a cloud baseline, then re-architect high-value components over time. We always build the migration plan to be executable in phases so you can reduce risk and cost incrementally.
Depends on your workload. AWS has the broadest service catalogue and largest ecosystem—the safe default for most organizations. GCP is the strongest choice for data-heavy workloads, machine learning, and teams that want world-class Kubernetes management. Azure is the most natural fit for organizations already invested in Microsoft tooling (Active Directory, Office 365, .NET). Many of our clients use a combination: AWS or GCP as the primary provider with Cloudflare at the edge for global performance and WAF.
We run a two-to-four-week audit covering compute rightsizing, storage class optimization, Reserved Instance and Savings Plan opportunities, network egress analysis, and tag coverage for cost attribution. At the end, you receive a prioritized list of changes with estimated savings for each. Most audits surface 25–40% in achievable savings. Implementation support is included in the engagement or available as a separate follow-on.
Yes. We run a gap analysis against the relevant control framework, identify what needs to be implemented in infrastructure and operations, and help you configure and document the controls. We are not auditors and do not issue certifications—that is the role of your qualified assessor. But we know what auditors look for and ensure your technical controls are implementation-ready before the assessment begins.
We use blue-green deployment, traffic shifting, and database migration strategies (expand-contract, shadow writes, CDC with Debezium) to keep services live throughout a migration. The specific approach depends on your stack and whether the database schema is changing. We always run a dry-run against a production copy before cutting over, and we maintain a tested rollback path for at least 24 hours after the cut.
Yes, on a retainer basis. Ongoing management includes monthly cost optimization reviews, security patch coordination, capacity planning, incident response support, and architecture evolution as your product grows. Clients who move fast appreciate having an experienced infrastructure team on call rather than trying to staff these skills in-house permanently.

Build for where you are going

Tell us about your current infrastructure and your growth targets. We will recommend the right architecture and identify the biggest risks in what you have today.

Free 45-minute architecture review