Software Architecture
Monolith, modular monolith, microservices, event-sourcing — needs-driven architecture, not pattern dogma. We pick what fits the team, the load, and the lifecycle.
Service Topology
Illustrative — every system gets its own decision matrix
Architecture that fits the problem
Architecture Patterns
Monolith, modular monolith, microservices, hexagonal, clean architecture — picked from constraints, not fashion. Often, a well-built monolith ships faster and runs cheaper.
- Modular monolith (Shopify-style)
- Microservices + service mesh
- Hexagonal / clean architecture
- Service decomposition strategy
Performance Engineering
Query plans, hot-path profiling, caching tiers, and DB tuning — squeezing latency and cost out of single-process systems before splitting them up.
- Postgres / MySQL query tuning
- Redis / Memcached caching
- CPU + heap profiling (Pyroscope)
- Capacity + load modeling
Event-Driven & CQRS
Kafka / Redpanda streams, event sourcing with snapshots, CQRS read models, and idempotent consumers.
- Kafka / Redpanda streaming
- Event sourcing + snapshots
- CQRS read-model projections
- Outbox pattern + transactional events
Domain-Driven Design
Bounded contexts, aggregate design, ubiquitous language workshops, and tactical patterns for high-complexity domains.
- Bounded context mapping
- Aggregate boundary modeling
- Strategic + tactical DDD
- Anti-corruption layers
API & Integration Design
REST, GraphQL federation (Apollo / Hive), gRPC, and async-API standards with contract testing.
- GraphQL federation (Apollo / Hive)
- gRPC + protobuf schemas
- AsyncAPI for events
- Pact contract testing
Security & Zero-Trust
Zero-trust architecture with SPIFFE/SPIRE identity, OPA policy enforcement, and threat-model reviews.
- SPIFFE / SPIRE workload identity
- OPA / Cedar policy engines
- STRIDE threat modeling
- Secrets management (Vault / SOPS)
Technologies We Use
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