Our Engineering Process
From zero to production with confidence
Every engagement follows a battle-tested framework that balances engineering rigor with delivery speed. Here is how we take your idea from concept to a running, observable, production system.
Phase 01
Discovery & Requirements
Understanding your domain, constraints, and success criteria. We dig deep into the problem space before writing a single line of code.
Stakeholder Interviews
Structured conversations with product owners, engineers, and operators to understand requirements, constraints, and non-functional needs.
System Context Mapping
Identifying all upstream and downstream dependencies, data flows, and integration points within the existing landscape.
Constraint Analysis
Documenting regulatory requirements, latency budgets, data residency, compliance frameworks, and operational boundaries.
Success Metrics Definition
Establishing SLOs, SLIs, and error budgets that define what "working correctly" means for your specific use case.
Deliverables
Requirements Document
System Context Diagram
SLO Definitions
Risk Register
Phase 02
Architecture & Design
RFC-driven design process with explicit tradeoff documentation and peer review from senior engineers.
Architecture Decision Records
Every significant decision documented with context, alternatives considered, and rationale for the chosen approach.
Threat Modeling
STRIDE-based analysis identifying attack surfaces, data flows, and trust boundaries with mitigation strategies.
Capacity Planning
Traffic modeling, resource estimation, and cost projections at 1x, 10x, and 100x scale with identified bottlenecks.
API Contract Design
OpenAPI specifications, event schemas, and interface definitions agreed upon before implementation begins.
Deliverables
Architecture RFC
ADRs
Threat Model
API Contracts
Capacity Model
Phase 03
Iterative Build
Short sprint cycles with continuous integration, automated testing, and demo-driven development.
Test-Driven Development
Unit, integration, and contract tests written before implementation. Mutation testing to validate test quality.
Continuous Integration
Every commit triggers automated builds, linting, security scanning, and test execution across multiple environments.
Code Review
Pull request reviews with automated checks, architecture compliance validation, and knowledge sharing.
Sprint Demos
Bi-weekly demonstrations of working software with stakeholder feedback loops and priority adjustments.
Deliverables
Working Software
Test Suite (>90% coverage)
CI Pipeline
Sprint Reports
Phase 04
Harden & Optimize
Load testing, chaos engineering, and performance optimization before the system sees production traffic.
Load Testing
Realistic traffic simulation at 2x-5x expected peak with latency profiling and resource utilization analysis.
Chaos Engineering
Controlled failure injection: network partitions, node failures, dependency outages, and clock skew scenarios.
Security Audit
Penetration testing, dependency vulnerability scanning, and compliance verification against target frameworks.
Performance Tuning
Query optimization, connection pooling, caching strategies, and memory profiling to hit latency targets.
Deliverables
Load Test Report
Chaos Results
Security Audit
Performance Baseline
Phase 05
Ship to Production
Gradual rollout with canary deployments, feature flags, and automated rollback capabilities.
Canary Deployment
Progressive traffic shifting from 1% to 100% with automated health checks and instant rollback triggers.
Observability Setup
Dashboards, alerts, runbooks, and on-call schedules configured before the first user touches the system.
Documentation
Architecture docs, API references, operational runbooks, and onboarding guides for the maintaining team.
Knowledge Transfer
Hands-on sessions with your team covering architecture, operational procedures, and debugging workflows.
Deliverables
Production System
Dashboards
Runbooks
API Docs
Training Sessions
Phase 06
Operate & Evolve
Ongoing SRE support, performance monitoring, and continuous improvement based on production data.
SRE Partnership
Shared on-call, incident response, and post-mortem culture with blameless retrospectives and improvement actions.
Error Budget Management
Tracking reliability against SLOs with automated feature freeze triggers when error budgets are exhausted.
Continuous Optimization
Monthly performance reviews, cost optimization, and architecture evolution based on real usage patterns.
Capacity Forecasting
Predictive scaling based on growth trends, seasonal patterns, and business projections to stay ahead of demand.
Deliverables
Monthly SRE Reports
Incident Post-Mortems
Optimization PRs
Capacity Plans
Ready to start your journey?
Whether you are starting from scratch or modernizing an existing system, our process adapts to your context and constraints.