PLATFORM
Infrastructure that scales before anyone asks it to.
Infrastructure that scales ahead of demand. Secure by default, priced with discipline, and invisible when it works, which is the point.
Good cloud architecture stays ahead of demand instead of reacting to it. The system is already there when load climbs, and nobody in the business has to think about it until we tell them what it cost.
SIGNAL IN THE NOISE
It only gets attention when it breaks.
- A traffic spike takes down production because autoscaling was configured for last year's load, and nobody owns updating it.
- The cloud bill doubled and nobody can say which team, which service, or which forgotten staging environment is responsible.
- Infrastructure changes happen by hand in the console, so the last person who touched production is the only documentation that exists.
- A single-region outage becomes a company-wide incident, because disaster recovery was a slide in a planning deck, not a tested procedure.
THE RISING LINE, NAMED
Six ways the line stays ahead of demand.
Landing Zones & Account Structure
A multi-account or multi-project structure with clear blast-radius boundaries between production, staging, and experimentation, built on AWS Control Tower, GCP's landing zone pattern, or Azure Landing Zones, whichever matches where you already run.
Infrastructure as Code
Every environment is defined in Terraform, OpenTofu, or Pulumi and reproducible from a clean account. Console changes are a last resort, logged and reconciled back into code, not the default way infrastructure gets built.
Compute Strategy: Kubernetes vs Serverless
We choose per workload, not per fashion. Steady, latency-sensitive services on Kubernetes with sane autoscaling; bursty or infrequent workloads on serverless compute, so you are not running a cluster to serve traffic that shows up twice a day.
Zero-Trust Networking & Secrets
No implicit trust based on network location. Service identity, mutual TLS, and short-lived credentials replace static keys and broad security groups, with secrets centralized instead of scattered across environment files.
Observability & DR/BCP
Traces, metrics, and logs correlated in one place, with alerts tied to what the business actually feels, not raw CPU graphs. Disaster recovery is a tested procedure with a known recovery time, not an assumption.
FinOps & Cost Discipline
Spend is tagged, attributed to the team or product that generated it, and reviewed against a budget every month, so a bill increase has an owner and a reason before it becomes a surprise.
THE TIMELINE
Four phases, one rising line.
- 2–4 weeks
Landing Zone & Architecture Assessment
- Architecture Assessment Report
- Risk-ranked findings list
- 4–6 weeks
Reference Environment & IaC Foundation
- Working reference environment
- IaC module library
- Architecture Decision Records
- 8–20 weeks
Migration & Build-Out
- Migrated/production workloads
- Observability dashboards
- Cost attribution reports
- 3–5 weeks
Observability, DR Drill & Handover
- DR Drill Report
- Handover Pack: runbooks, dashboards, recorded training
TECHNOLOGY
What it runs on.
- Infrastructure as Code
- Terraform or OpenTofu as the default; Pulumi or AWS CDK where a general-purpose language is preferred over HCL.
- Landing zones
- AWS Control Tower / Landing Zone Accelerator; GCP landing zone pattern; Azure Landing Zones, chosen to match the primary cloud rather than imposed against it.
- Kubernetes
- EKS, GKE, or AKS as the managed control plane; Karpenter for node autoscaling; Argo CD or Flux for GitOps-driven deployment.
- Serverless
- AWS Lambda, Google Cloud Run, or Fargate for bursty and event-driven workloads.
- Zero-trust networking
- Service mesh (Istio or Linkerd) for east-west mTLS; Cloudflare Access or Tailscale for perimeter and remote-access identity.
- Secrets
- HashiCorp Vault or the native cloud secrets manager (AWS Secrets Manager, GCP Secret Manager), with SOPS for encrypted secrets in Git where appropriate.
- Observability
- OpenTelemetry as the instrumentation standard; Grafana, Prometheus, Loki, and Tempo as a self-hosted stack, or Datadog where a managed platform is preferred.
- DR/chaos testing
- Multi-region active-passive or active-active topology depending on RTO/RPO targets; Gremlin for chaos engineering drills.
- FinOps
- CloudZero or Vantage for cost attribution and showback; native cost tools (AWS Cost Explorer, GCP Billing) as the baseline where a dedicated FinOps tool isn't yet justified.
GOVERNANCE
Invisible, and provable.
- Security: Zero-trust by default: identity-based access, short-lived credentials, and least-privilege service accounts, verified with periodic access reviews rather than assumed from the initial setup.
- Compliance: Landing zone guardrails (SCPs, policy-as-code) prevent non-compliant resources from being created at all, rather than catching them after the fact.
- Cost control: Tagged, attributed spend reviewed monthly against budget, with alerts that fire as soon as growth looks anomalous.
- Auditability: Every infrastructure change ships through version-controlled IaC and code review; console access is logged and reconciled, not the primary change path.
- Operational ownership: A tested DR runbook with a known recovery time comes first. That's backed by a named on-call rotation, and by 90 days of post-handover support before your team takes over completely.
QUESTIONS
The questions that come up before the SOW.
RELATED SERVICES
Where this connects.
GET IN TOUCH
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