What problem does it solve?
Helps teams make high-impact, system-level architecture decisions so organizations can scale, decompose monoliths, and operate distributed systems reliably without overbuilding prematurely.
Core Features & Use Cases
- Pattern selection & tradeoffs: Compare modular monoliths, microservices, event-driven and serverless approaches with clear guidance on when to pick each.
- Scalability & resilience design: Recommend concrete technologies (e.g., Kubernetes + Istio/Linkerd, Kafka/Redpanda, PostgreSQL with read replicas and sharding, Redis caching, Temporal.io for orchestration) and patterns like caching, circuit breakers, bulkheads, and CQRS where appropriate.
- Migration and modernization: Provide strangler-fig migration plans, shadow traffic and canary strategies, CDC-based data migration, and feature-flag rollouts to safely extract services from a monolith.
- Operational alignment & deliverables: Define ownership models, CODEOWNERS/deployment boundaries, SLO/SLA metrics, runbooks, and ADRs so teams can measure success (deploy frequency, MTTR, error budget usage).
- Real-world example: Plan a phased extraction of an orders domain from a monolith using feature flags, shadow traffic, and an event-driven integration layer to minimize user impact.
Quick Start
Design two candidate architectures (modular monolith vs microservices) for a greenfield e-commerce platform with 10k RPS, strict payment consistency, and a 12-person engineering team.