The same sequence for a two-week MVP or an eighteen-month platform rebuild — only the depth changes at each stage.
We map the business problem, bounded domain contexts, and technical constraints before touching a design tool — ending with an enforceable engineering spec, not a slide deck.
Comprehensive assessment of existing repos, database schema bottlenecks, API payload structures, throughput constraints, and technical debt hotspots.
Collaborative event storming workshops to define core domain aggregates, entity-relationship models, read/write boundaries, and event schemas.
Benchmarking latency requirements, TPS throughput goals, HA redundancy models, and cloud provider selection (AWS/GCP/Azure) with estimated run-rate costs.
Codifying technical requirements, velocity baselines, team composition, service-level objectives (SLOs), and the definitive Definition of Done (DoD).
Architecture and interface design run in parallel, establishing strict API contracts, database migration blueprints, security threat models, and tokenized UI components.
Authoring typed OpenAPI v3 & gRPC protobuf schemas, async message bus topologies (Kafka/RabbitMQ), and idempotency key specifications.
Relational schema DDL design, indexing strategies, partition models, database migration seeds, and fallback rollback scripts.
Threat vector modeling, OAuth 2.0 / OIDC session management, Role-Based Access Control (RBAC) matrix, and encryption key rotation plans.
WCAG AA accessible tokenized component library, interactive prototypes, and explicit state charts for loading, error, empty, and offline modes.
Two-week iterative sprints delivering production-grade, containerized software backed by automated quality gates, staging environments, and working releases from sprint one.
Implementation of domain logic isolated from external adapters, containerized local dev environment with Docker Compose, and typed business services.
Multi-stage CI pipelines executing linters, strict TypeScript checks, SAST vulnerability scans, and ephemeral branch preview deployments.
Query tuning, connection pooling with PgBouncer, Redis distributed caching, optimistic UI updates, and SSE/WebSocket real-time push streams.
Automated test pyramid with Vitest/Jest unit tests (>85% coverage), contract integration tests, and Playwright end-to-end regression suites.
Automated, zero-downtime releases with built-in rollback — load testing under production traffic, third-party VAPT penetration testing, and zero-downtime cutover.
Declarative multi-region cloud provisioning via Terraform/Helm, Kubernetes pod autoscaling (HPA), VPC peering, TLS certificates, and WAF rules.
Automated canary analysis, blue/green routing switchover via Envoy/Ingress, database migration checkpoints, and instant rollback triggers.
Distributed tracing with OpenTelemetry, Prometheus metrics collection, Grafana production dashboards, and PagerDuty tier-1 alert escalations.
Independent penetration testing, OWASP Top 10 remediation, dependency CVE clearance, disaster recovery drills, and SOC2/ISO readiness review.
Monitoring, 24/7 on-call response, and a proactive maintenance cadence that catches performance regressions and security vulnerabilities before users do.
24/7/365 synthetic uptime pings, real-user monitoring (RUM), sub-15 minute critical incident response, and automated self-healing pod restarts.
Bi-weekly slow-query log auditing, database index maintenance, memory leak profiling, and Redis cache hit ratio optimizations.
Zero-day CVE patch cycles, base OS container updates, automated Dependabot pull requests, and quarterly secret key rotation.
Quarterly capacity forecasts, architectural scaling spikes, tech debt reduction sprints, and continuous cloud cost optimization.
We map the business problem, the users and the constraints before touching a design tool — a two-week sprint that ends with a shared spec, not a slide deck.
Architecture and interface design run in parallel, reviewed against real usage scenarios, not assumptions.
Two-week iterations, working software from sprint one, and a staging environment you can access from day one.
Automated, zero-downtime releases with rollback built in — launch day is a non-event, on purpose.
Monitoring, on-call response and a maintenance cadence that catches problems before your users do.
A defined deliverable, timeline and price. Best when the requirements are clear and the outcome needs to be locked in advance.
A senior pod embedded with your team on a monthly retainer, working from your backlog with full context and continuity.
We own an outcome — uptime, security posture, release cadence — end to end, with SLA-backed reporting.