Our Methodology

A structured approach to building cloud platforms.

Not a waterfall. Not chaos disguised as agile. A proven, principle-driven methodology refined across hundreds of deployments — designed to eliminate guesswork and deliver platforms that make money.

Core Principles

What we believe

Five non-negotiable principles that govern every decision, every line of code, and every architecture choice we make.

Infrastructure as Code

Every server, network rule, and configuration exists in version-controlled code. No clickops, no snowflake servers, no undocumented changes. If it's not in Git, it doesn't exist.

Terraform, Ansible, Helm — declarative from day one.

Everything Automated

Manual processes are bugs. Provisioning, scaling, billing, alerting, recovery — every repeatable action is automated. Humans handle decisions, machines handle execution.

CI/CD pipelines, event-driven workflows, zero-touch ops.

Security by Default

Security is not a phase — it's a constraint on every decision. Zero-trust networking, encrypted everything, automated compliance scanning, and least-privilege access from the first commit.

Shift-left security baked into every pipeline.

Observable from Day One

You can't manage what you can't measure. Every component emits metrics, logs, and traces from deployment. Full-stack observability is infrastructure, not an afterthought.

OpenTelemetry, Prometheus, Grafana — wired in, not bolted on.

Revenue-First Design

Every architectural decision is filtered through one question: does this help you make money? We build platforms that sell, not science projects that impress engineers.

Billing-aware architecture from the first design doc.
Process Phases

Six phases to production

Each phase has clear inputs, defined activities, measurable deliverables, and a quality gate before moving forward.

Phase 01Discovery

Map the terrain. Understand the business, audit the infrastructure, define success criteria.

Key Activities

Stakeholder interviews and goal alignment
Infrastructure audit (hardware, network, storage)
Competitive landscape analysis
Compliance and regulatory requirements review
Capacity modeling and growth projections

Deliverables

Assessment report with recommendations
Architecture decision records (ADRs)
Risk register with mitigations
Project charter and success metrics

Tools & Technologies

NmapAnsible FactsDraw.ioNotion
2-3 weeks
Phase 02Architecture

Design the system. Define the target architecture, select the stack, plan the data model.

Key Activities

Target architecture design (IaaS/PaaS layers)
Network topology and security zones
Data model and API contract design
Product catalog and pricing structure
Disaster recovery and HA strategy

Deliverables

Architecture blueprint (C4 diagrams)
API specification (OpenAPI)
Product catalog with pricing models
Infrastructure cost model

Tools & Technologies

MiroOpenAPITerraform PlanPlantUML
2-3 weeks
Phase 03Engineering

Build the platform. Deploy infrastructure, write automation, wire up the control plane.

Key Activities

OpenStack / OpenShift cluster deployment
Provisioning automation pipelines
Billing engine and metering integration
Monitoring and alerting stack setup
CI/CD pipeline configuration

Deliverables

Production-ready infrastructure
Automated provisioning workflows
Billing integration (Stripe)
Monitoring dashboards and runbooks

Tools & Technologies

TerraformAnsibleHelmArgoCDKafka
6-8 weeks
Phase 04Integration

Connect everything. Customer portal, admin panel, payment flows, support systems — end to end.

Key Activities

Customer portal deployment and branding
Admin operations panel integration
Payment processing end-to-end testing
Support ticket system wiring
Third-party integrations (DNS, CDN, etc.)

Deliverables

Branded customer portal
Admin dashboard with full controls
Payment flow (order → invoice → collect)
Integration test suite (passing)

Tools & Technologies

Next.jsStripeKafkaPlaywright
2-3 weeks
Phase 05Launch

Go live. Beta customers, load testing, public launch, and first revenue.

Key Activities

Beta customer onboarding
Load and chaos testing
Security penetration testing
Public launch execution
Sales enablement and documentation

Deliverables

Production launch sign-off
Load test results and benchmarks
Security audit report
Go-to-market launch materials

Tools & Technologies

k6GremlinLaunchDarklyIntercom
1-2 weeks
Phase 06Optimize

Tune and scale. Performance optimization, pricing experiments, knowledge transfer to your team.

Key Activities

Performance profiling and optimization
Pricing experiments and A/B testing
Cost optimization (infra and margin)
Team training and knowledge transfer
Operations runbook handoff

Deliverables

Performance optimization report
Pricing recommendation engine
Complete operations runbooks
Training certification for your team

Tools & Technologies

GrafanaStripe SigmaJupyterLoom
Ongoing
Quality Gates

No phase advances without proof

Between every phase sits a quality gate — a formal checkpoint where we verify that the work meets our standards before moving forward. No exceptions, no shortcuts.

Architecture Review

Discovery → Architecture

All requirements documented and prioritized
Risk register reviewed by stakeholders
Architecture options evaluated with ADRs
Budget and timeline approved

Build Readiness

Architecture → Engineering

Architecture blueprint peer-reviewed
API contracts finalized and versioned
Infrastructure cost model validated
Security threat model completed

Integration Readiness

Engineering → Integration

All infrastructure components deployed and healthy
Provisioning automation tested end-to-end
Billing metering accurate to specification
Monitoring coverage > 95% of critical paths

Launch Approval

Integration → Launch

All integration tests passing
Security scan: zero critical vulnerabilities
Payment flow tested with real transactions
Disaster recovery drill completed

Operational Handoff

Launch → Optimize

Team trained on all operational procedures
Runbooks reviewed and drill-tested
On-call rotation established
SLA targets met for 2+ consecutive weeks
Technology Philosophy

Why we choose these tools

Our stack choices are deliberate. Every tool earns its place through reliability, community support, and alignment with our principles.

Open source first

We default to battle-tested open source. Kubernetes, Terraform, Prometheus, Kafka, PostgreSQL — no vendor lock-in, full control, massive community support.

Composable, not monolithic

Every component is replaceable. We build with clean interfaces between layers so you can swap, upgrade, or extend any part without rewriting the system.

Event-driven backbone

Kafka sits at the center. Every state change — provisioning, billing, alerting — is an event. This gives you an audit trail, replay capability, and infinite extensibility.

GitOps operations

Infrastructure state lives in Git. Changes go through pull requests, get reviewed, pass CI, and auto-deploy. No SSH sessions, no manual changes, full auditability.

Zero-trust by design

mTLS between services, encrypted storage at rest, network policies on every namespace, RBAC on every API. Security is not a layer — it's the foundation.

By the Numbers

Methodology in practice

200+

Deployments completed

Across 12 countries

99.9%

Uptime achieved

Platform availability SLA

6mo

Average delivery

From zero to revenue

40%

Cost reduction

Vs. manual operations

Proven Process

Ready to build the right way?

Every successful platform starts with a conversation about methodology. Let us show you how our structured approach eliminates risk and accelerates time to revenue.

FAQ

Common Questions

Standard consulting gives you a PDF and walks away. Our methodology is execution-oriented — every phase produces working software, not slide decks. We measure success by your revenue, not by hours billed.

Yes. The six phases are a framework, not a rigid sequence. If you already have infrastructure deployed, we skip or compress Discovery and start at Architecture. If you have unique compliance requirements, we extend the security gates. The methodology bends to your reality.

We fix it before moving forward. Quality gates exist to prevent compounding problems. A failed gate triggers a remediation sprint — typically 3-5 days — to address the gaps. We never skip a gate to meet a deadline.

No. Our tool recommendations are defaults, not mandates. If you already run Datadog instead of Prometheus, or prefer Pulumi over Terraform, we adapt. The methodology is tool-agnostic — the principles matter more than the specific implementations.

Knowledge transfer is not a one-time event — it's woven through every phase. Your team participates in architecture reviews, pairs with our engineers during build, and runs operations drills before launch. By handoff, they've already been operating the platform for weeks.

Many clients do. We offer ongoing Managed Operations for 24/7 support, or a lighter Advisory retainer for quarterly architecture reviews and optimization sprints. The methodology is designed so you can operate independently, but we're here if you want us.