The Methodology

From Discovery
to Deployment.

A repeatable, rigorous framework for building systems that scale — refined across 9+ years and 50+ production deployments.

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01

Discovery

1–2 weeks

hub

02

Architecture

1–3 weeks

code

03

Development

4–12 weeks

rocket_launch

04

Deployment

1–2 weeks

search

01

Discovery

1–2 weeks

Every system begins with ruthless clarification. I map business requirements to technical constraints, surface hidden complexity, and define the measurable outcomes that will determine success.

Core Activities

  • check_circleStakeholder interviews & requirement extraction
  • check_circleTechnical audit of existing infrastructure
  • check_circleCompetitive landscape & constraint mapping
  • check_circleRisk identification and mitigation catalogue
  • check_circleDefinition of success metrics (SLOs, KPIs)

Deliverables

  • Technical Brief
  • Risk Register
  • Architecture Decision Log (ADL) — draft
hub

02

Architecture

1–3 weeks

I draft the structural blueprint — domain models, database schemas, and service boundaries. Every boundary is a deliberate decision; every abstraction earns its existence. Seams are installed early.

Core Activities

  • check_circleDomain modelling & bounded context definition
  • check_circleData schema design and normalisation review
  • check_circleAPI contract specification (OpenAPI / gRPC protobuf)
  • check_circleInfrastructure topology and service mesh design
  • check_circleSecurity threat modelling (STRIDE)

Deliverables

  • System Design Document
  • ER Diagrams
  • API Spec v1
  • Infrastructure as Code scaffold
code

03

Development

4–12 weeks

High-fidelity development using modern stacks with schema attention to detail — test coverage, code review standards, and automated quality gates enforced from day one. No hero code.

Core Activities

  • check_circleFeature development in vertical slices (outside-in)
  • check_circleUnit, integration, and contract test suites
  • check_circleContinuous integration with mandatory coverage thresholds
  • check_circleWeekly architectural review sessions
  • check_circlePerformance profiling at every milestone

Deliverables

  • Production-ready codebase
  • Test suite (≥80% coverage)
  • CI/CD pipeline
  • Runbook draft
rocket_launch

04

Deployment

1–2 weeks

Zero-downtime deployments, observability-first releases, and a structured rollout strategy. I treat every release as a controlled experiment — with rollback conditions defined before a single byte ships.

Core Activities

  • check_circleBlue-green or canary deployment orchestration
  • check_circleObservability stack setup (traces, metrics, logs)
  • check_circleLoad testing and chaos engineering (pre-prod)
  • check_circleIncident response playbook creation
  • check_circlePost-deployment health dashboards

Deliverables

  • Deployment runbook
  • Observability dashboard
  • Post-mortem template
  • SLO monitoring

Philosophy

Guiding Principles

architecture

Seams Before Scale

Any component expected to change in 18 months gets an abstraction layer today. Retrofitting seams is 10× more expensive than installing them early.

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Explicit Trade-offs

Every architectural compromise is documented with its context, alternatives considered, and the conditions that would invalidate the decision.

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Observability-First

A system that cannot be observed cannot be trusted. Telemetry, tracing, and structured logging are non-negotiable features, not afterthoughts.

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Team as Infrastructure

The best systems are shaped by the teams who maintain them. Conway's Law is a design constraint, not a coincidence.

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Automate the Boring

Manual processes are error-prone and slow. Any task performed more than twice gets automated; CI/CD is the heartbeat of every delivery pipeline.

balance

The Three-Quarter Rule

When evaluating shortcuts: will this decision hold at 75% of projected scale? If yes, ship. If no, invest now. The edge cases are where systems fail.

Process in Practice

From the Case Studies

Architecture

StringERP

north_east

"Installed a single `ReportingRepository` seam at week 2, knowing the naive query layer would need replacement. The eventual migration took 4 days, not 4 months."

Deployment

Orion Gateway

north_east

"Defined rollback conditions before go-live: P95 latency > 15ms or error rate > 0.1% triggers automatic revert. Zero incidents in first 90 days."

Discovery

Pulse CRM

north_east

"Identified that the real constraint wasn't data volume but conflict resolution semantics. Pivoted to CRDT architecture two weeks in — saved 6 months of future rework."

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