Cloud Architecture & Infrastructure
Infrastructure as code, cost model attached.
Every resource we provision is defined in code, version controlled, and peer reviewed. We design for the workload you have today and the scale you need tomorrow - without over-provisioning for traffic that may never come. Our engineers have built and operated infrastructure across AWS, GCP, and Azure for startups burning $500/month and enterprises spending $500K/month, and the discipline is the same: reproducible environments, automated deployments, and cost visibility at every layer.
What we deliver in this practice.
Cloud architecture design
Multi-cloud and single-cloud strategies across AWS, GCP, and Azure tailored to your workload characteristics, compliance requirements, and team expertise. We produce architecture decision records so your team understands not just what was built, but why each tradeoff was made.
Kubernetes orchestration
Production-grade clusters with service mesh, horizontal pod auto-scaling, rolling deploys, and proper resource limits. We configure namespaces, RBAC, network policies, and secrets management so your cluster is secure by default, not just functional.
Infrastructure as Code
Terraform and Pulumi modules that are version controlled, tested with policy-as-code checks, and reproducible across environments. We structure IaC as reusable modules with clear input/output contracts, so spinning up a new environment is a single command, not a week of clicking through consoles.
CI/CD pipelines
GitHub Actions, GitLab CI, or your preferred platform with blue-green deploys, canary releases, and automated rollback on health check failures. Every pipeline includes security scanning, linting, and test gates so broken code never reaches production.
Serverless & event-driven
Lambda, Cloud Functions, and event-driven architectures for workloads that do not need always-on compute. We help you identify which parts of your system benefit from serverless economics and which need dedicated infrastructure, avoiding the common trap of forcing everything into one model.
Cost optimization
Right-sizing instances, spot and preemptible instances, reserved capacity planning, and unused resource cleanup. We set up monthly cost reports with anomaly detection so you catch spending spikes before they hit your invoice, not after.
This service is a good fit when…
Your cloud bill is growing faster than your revenue and you need someone to audit, right-size, and set up cost controls without breaking anything.
You are running infrastructure provisioned through console clicks and need to move to reproducible, version-controlled infrastructure as code.
You are planning a migration from one cloud provider to another, or from a monolith to microservices, and need an architecture that will not need to be redone in 18 months.
Your deployments are manual, slow, and error-prone, and you need CI/CD pipelines with proper staging environments and automated rollback.
Provider-agnostic. Cost-conscious.
Four phases. No discovery deck purgatory.
Assess
We audit your existing infrastructure, identify bottlenecks and single points of failure, benchmark current costs against industry norms, and document your team's operational pain points. You receive a written assessment with prioritized recommendations and estimated ROI for each improvement.
Architect
We design the target architecture with cost projections at multiple traffic tiers, so you know what your infrastructure will cost at 10x and 100x current load. Architecture decision records capture every tradeoff. Your team reviews and approves before we write a single line of Terraform.
Automate
We build CI/CD pipelines, IaC modules, and GitOps workflows. Every environment - development, staging, production - is defined in code and reproducible. We migrate incrementally with rollback plans at each stage so there is zero downtime during the transition.
Operate
We set up monitoring, alerting, and dashboards for infrastructure health, application performance, and cost tracking. Handoff includes runbooks for common operational scenarios, on-call escalation procedures, and a knowledge transfer session with your ops team.