Off the laptop. Onto infrastructure that scales.

AWS, GCP, or Azure — designed, deployed, and tuned for your workload. Auto-scaling, HA, observability, and cost guardrails built in by the team that runs production AI on the same stack.

Book a discovery call How we build it

Cloud architecture done right

Infrastructure that scales with the business.

You don't need cloud "best practices" from a slide deck — you need the boring stuff wired up correctly. Multi-AZ Postgres. Auto-scaling pods. Blue/green deploys. Cost alerts before the AWS bill goes weird. Backups that actually restore.

We design to your cloud's primitives, codify everything in Terraform or Pulumi, instrument observability before go-live, and run a load test + chaos test before the cutover. The runbook is part of the deliverable, not a follow-up email.

Hyperscaler-native — AWS, GCP, or Azure
Multi-AZ + horizontal scaling + blue/green deploys
Observability and alerting wired before go-live
Cost guardrails: auto-shutdown, reserved instances, alerts
Everything in Terraform or Pulumi — reviewable, reproducible
Load + chaos tested before traffic flips

Book a discovery call

cloud.console·AWSGCPAzure

12 / 12 healthy

Uptime

99.95%

+0.02%

p95 latency

180 ms

↘ 12%

Cost / day

$84.20

↘ 38%

Regions

us-east-1primary
eu-west-1replica
ap-south-1edge

p95 · 12h

↘ stable

Recent deploys

via Terraform

✓13m agoapi v2.1.4green
✓47m agoweb v3.8.0green

How we deploy

From spreadsheet to production-grade cloud.

01
Workload assessment
Map traffic patterns, peak load, data volumes, latency budgets. The architecture flows from real numbers — not from yesterday's "it should be enough."
02
Architecture + IaC
Draw the topology, codify it in Terraform or Pulumi, get sign-off before the first apply. Reviewable infra, no clickops drift.
03
Build + harden
Stand up the stack, wire monitoring + alerting + IAM, run a load test, run a chaos test, document the on-call procedure.
04
Migrate + run
Cutover with traffic-shift strategy, runbooks, and on-call rotation. Optional 90-day operations stay-on for the first quarter post-migration.

By the numbers

Cloud architecture, measured in production.

99.95%
Typical uptime
Multi-AZ + horizontal scaling + blue/green deploys.
30–40%
Cost reduction
Typical bill audit savings: right-sizing, reserved capacity, dev-shutdown.
180 ms
p95 latency
Across multi-region deploys with edge caching.
IaC
Reproducible
Everything in Terraform or Pulumi. Reviewable in PRs.

What you get

The cloud stack we already trust with our own SaaS.

AWS · GCP · Azure
Hyperscaler-native — designed to your cloud’s primitives, no porting overhead.
Auto-scaling + HA
Multi-AZ, horizontal scaling, blue/green deploys. Stays up when one node — or one zone — doesn’t.
Observability
Logs, metrics, traces, alerts — wired to Datadog, Grafana, CloudWatch, or open-source.
Cost guardrails
Auto-shutdown of dev clusters, reserved instances where math works, alerts before bills go weird.
Security by default
Encryption at rest + in transit, IAM least-privilege, secrets in a vault, audit logs centralised.
IaC
Everything in Terraform or Pulumi — reproducible, reviewable in PRs, rollback-able.
Stateful done right
Multi-AZ Postgres, Redis replication, S3 lifecycle policies — the boring stuff that prevents 3am incidents.
CI/CD
Builds → tests → staging → prod on green-only, with rollback baked in. Ship in minutes, recover in seconds.
Load + chaos tested
Before cutover, we know exactly what breaks under 10× peak load.

Built for these teams

Wherever the laptop under the desk has become the SPOF.

Scale-ups
MVP → production-grade infra
The "one server we forgot about" replaced with auto-scaling, HA, and audit trails.
Series B+ SaaS
Multi-region deploys + tenant isolation
Customer growth no longer rate-limited by the database’s single primary.
E-commerce
Black-Friday-grade autoscaling
Peak day handled without a war room; cost normalizes back the next morning.
Healthcare + Fintech
HIPAA / SOC 2-ready architectures
Compliance dossier handed off with the runbook — security review clears the first time.
Migrations
Legacy on-prem → cloud cutover
Phased migration with traffic-shift strategy; no big-bang weekend horror story.
Cost overruns
Cloud bill audit + optimization
Right-sized instances, reserved commitments, dev/staging shutdowns — typical 30–40% savings.

Common questions

What teams ask before a cloud migration.

Do you have a preferred cloud — AWS, GCP, or Azure?
We're cloud-agnostic. Most engagements pick the hyperscaler the team is already using or the one with the right managed-service fit (Snowflake → Azure or AWS, Vertex AI → GCP, Bedrock → AWS). We design to each cloud's native primitives — no "avoid lock-in" cosplay that ends up costing performance.
Will you take over an existing legacy stack?
Yes. About half our cloud work is greenfield, half is "rescue + modernize." For legacy migrations we run a discovery + audit first (what's there, what depends on what, what the migration risk profile looks like), then propose a phased cutover plan. Big-bang weekend cutovers are a movie trope; real migrations are coexistence + traffic-shift + retire.
How do you handle the migration cutover?
Traffic-shift strategy with feature flags + DNS + load balancer. New stack runs in parallel for weeks, traffic shifts 5% → 25% → 50% → 100% with rollback gates between each step. Observability live the whole time. Customer-facing surfaces never see a maintenance page.
What does ongoing operations support look like?
Optional but recommended for the first 90 days post-cutover — on-call rotation, runbook maintenance, weekly architecture review, and cost-monitoring reports. After 90 days most clients self-operate; we stay on for monthly check-ins or pop in for specific projects.
Can you bring our cloud bill down?
Almost always. Typical savings on a first audit are 30–40% — right-sizing over-provisioned instances, killing dev/staging on nights/weekends, switching long-running workloads to reserved/committed pricing, and finding the dead storage from old experiments. We can do a one-shot audit (paid) or wrap it into a migration engagement.
How is IaC handled?
Terraform by default, Pulumi when the team is TypeScript-shaped. Every cloud resource lives in code, reviewable in PRs, promoted through CI. ClickOps in the console is for read-only exploration; no production change goes in without a Terraform plan + apply.

Outgrown the laptop?

Cloud that scales when you do.

Book a discovery call. We'll review your workload, the constraints, and what's currently breaking, then come back with a scoped migration plan.

Book a discovery call See products