AWS by default — the deepest tooling and the cheapest at scale. GCP if your data team is already there. Azure if your enterprise contract requires it.

Do we need Kubernetes?

Usually no. Most teams ship faster with ECS, Lambda, or just Vercel + RDS. We only reach for K8s when the workload demands it.

Can you run the on-call rotation?

For the engagement window, yes. After handoff, your team takes the pager. We document everything so that's realistic.

What about SOC 2 / HIPAA?

We architect for it (audit logs, encryption, access controls). The audit itself is a separate engagement with a compliance firm.

INFRA

AWS and Google Cloud, set up the right way.

Two clouds, deep expertise. We architect, migrate, and operate on AWS or GCP — with infrastructure-as-code, observability, and CI/CD baked in from day one.

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01 / WHAT WE FIX

The blockers we see again and again.

One person owns the deploy keys

When they go on vacation, nobody else can push. The bus factor on your infra is exactly one.

Outages mean reading logs in a terminal

No dashboards, no alerts, no runbooks. Every incident is a fresh archaeological dig.

Cloud bills grow faster than usage

Idle resources, orphaned snapshots, a NAT gateway nobody knew was running. The AWS console is a black box.

02 / HOW WE FIX IT

The way we ship around them.

AWS — the workhorse cloud.

ECS Fargate, Lambda, RDS, S3, CloudFront, IAM done right. The deepest tooling and the cheapest at scale. Our default for new infrastructure.

· Terraform-managed AWS accounts
· ECS Fargate + Lambda for compute
· RDS Postgres + S3 + CloudFront

Google Cloud — when GCP makes sense.

Best when your data team already lives in BigQuery, when Vertex AI is the right model platform, or when GKE Autopilot is a cleaner fit than ECS.

· GKE Autopilot for Kubernetes workloads
· Cloud Run for serverless containers
· BigQuery + Vertex AI for data + ML

Infrastructure as code. Observability. CI/CD.

Terraform for both clouds. GitHub Actions for delivery. Metrics, logs, traces, and SLO-based alerts in one place. No console-only resources, no manual deploys.

· Terraform modules per environment
· GitHub Actions with reusable workflows
· Datadog or Grafana Cloud for observability

Already scoping a cloud & devops project?

Book a 30-min call

03 / HOW WE WORK

From spec to production.

A weekly loop with a single point of contact and dated deliverables.

Week 1
Audit & plan
We read your current infra, document what exists, and write the target state. No code yet.
- Infra audit
- Target state doc
- Migration plan
Week 2-3
Foundation
IaC for the base layer: networking, IAM, deployment pipeline. Mirror your existing prod into staging.
- Terraform base
- CI/CD pipeline
- Staging mirror
Week 4-5
Migration
Move workloads to the new IaC layer, one service at a time. Each migration is a reversible PR.
- Services migrated
- Cutover plan
- Rollback tested
Week 6
Observability + handoff
Dashboards, alerts, runbooks, on-call rotation. Your team gets a walkthrough and the keys.
- Dashboards live
- Runbooks
- On-call ready

TECH STACK

Technologies we use.

DevOps/Infra: Docker
Kubernetes
GitHub Actions
Grafana Cloud
Cloud: Amazon S3

05 / PROOF

What this looks like in production.

99.95%

Avg uptime delivered

24/7

Technical support

30%

Avg cost reduction post-audit

TESTIMONIALS

Founders, in their own words.

Founders shipped: 100+
Avg rating: 4.8
Avg to launch: 2 weeks

“They architected Mozenthra so we could handle 10K+ DAU and 10K+ daily uploads from day one. The platform has held up at every traffic spike since launch — no scrambles, no rewrites.”

Founder

CEO · Mozenthra

FAQ

The questions everyone asks.

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