Architecture decisions, domain analysis, technology evaluations, system design for complex environments. How we think about the problems we solve.
Microservices add operational complexity that most systems don't need in their first years. We start with a well-structured monolith designed for eventual decomposition — clear module boundaries, explicit contracts, no shared mutable state. The architecture evolves when the domain demands it, not when the team wants to try something new.
Tenant isolation is an architectural decision that cascades into every layer of the system. We evaluate database strategies — schema-per-tenant, row-level security, database-per-tenant — against five criteria: isolation guarantees, operational cost, migration complexity, query performance, and long-term scalability. There is no universal answer.
Compliance systems tend to attract two failure modes: rigid hardcoded rules that break when regulations change, or over-abstracted engines that model every possible future. We describe our approach to finding the boundary between necessary flexibility and dangerous generalization.
Every structural decision in a system has context, constraints, and consequences. When that context lives only in someone's head, the system becomes fragile to team changes. We use Architecture Decision Records — short documents that capture what was decided, why, and what alternatives were rejected.
Enterprise platforms outlive the teams that build them. We discuss the engineering decisions that matter most for long-lived systems: evolvable schemas, versioned APIs, structured migration paths, comprehensive documentation, and the discipline of planning for your successor.
A CI/CD pipeline is not just a deployment mechanism — it's an enforcement layer for architectural decisions. We use pipeline stages to validate module boundaries, check dependency rules, run integration contracts, and ensure that the system remains structurally sound as it evolves.
We start every conversation with understanding your domain.
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