Production systems on AWS, Azure, and GCP — defined in code, scaled on demand, and engineered so a failed region is a procedure, not an outage.
Every layer version-controlled, reproducible, and observable — no snowflake servers, no configuration drift.
EC2, Lambda, and ECS/EKS container orchestration. S3, RDS, and DynamoDB for storage. CloudFront CDN, Route 53 DNS, and VPC networking with least-privilege security groups.
Multi-cloud provisioning, version-controlled state, and automated deployment pipelines. Your entire stack reproducible from a repo.
Cluster design, Docker containerization, service mesh (Istio, Linkerd), auto-scaling, and load balancing.
GitHub Actions, GitLab CI, Jenkins. Blue-green and canary deploys with automatic rollback.
CloudWatch, Datadog, Prometheus, and Grafana. Log aggregation, custom alerting, on-call rotations, and dashboards — because you can't fix what you can't see.
Multi-region failover, automated backup and restore, tested RTO/RPO targets, and business-continuity documentation you can actually rehearse.
We size for your real usage patterns, not maximum capacity — then lock it in code so the stack stays reproducible as it grows.
Least privilege everywhere. Encrypted at rest and in transit. Audited against SOC 2, HIPAA, and GDPR. The same rigor runs underneath the behavioral-health platform we operate — Cadence handles live clinical intake on infrastructure built exactly this way.
Need services on top of it? See Distributed Systems →Microservices, event-driven pipelines, and service mesh running on the infrastructure above.
Explore Distributed Systems → OptimizeRight-sized instances, edge caching, and load testing that turn capacity into speed.
Explore Performance Engineering → ShipEdge-deployed sites with 95+ Lighthouse scores and sub-second loads.
In productionOur behavioral-health intake engine, running on infrastructure built this way.
We build production systems on AWS, Azure, and GCP. Most engagements run on AWS — EC2, Lambda, ECS, EKS, RDS, and S3 — with multi-cloud provisioning handled through Terraform so nothing is locked to a single provider.
Yes. We size infrastructure to real usage instead of peak capacity — right-sized instances, spot pricing, reserved capacity, and auto-scaling. Most teams see cloud spend drop 30 to 60 percent while uptime improves.
Multi-region failover, automated backup and restore, and tested RTO/RPO targets. We document the recovery plan and rehearse it so a region outage is a procedure, not a crisis.
Tell us your reliability, security, and budget targets. We'll design an architecture that hits all three.