Systems thinking, made visible.
Architecture decisions are never purely technical. Every choice has tradeoffs — operational complexity, team bandwidth, business timelines.
Systems thinking applied to real problems — cloud migrations, monolith decomposition, performance investigations, and the trade-offs behind each architectural choice.
Taming 50 Million Callbacks with Event-Driven Architecture
Read articleA legacy .NET HttpHandler buried inside the customer portal was processing webhook callbacks synchronously — and at 20M+ messages a month, vendor retry storms inflated that to 75 million callbacks with 90-second processing latency. We replaced it with an Azure Function that acknowledges in milliseconds and routes to channel-isolated processors via Service Bus, dropping latency to sub-second and eliminating the retry cascade entirely.
Key Tradeoffs
- Speed over completeness. Acknowledge first, process later
- Isolation over simplicity.
- Serverless cost for predictable scale.
- Standardization over flexibility.
- Independent deploys, coordinated schemas.
From Busy Flag to Service Boundaries
Read articleA monolithic worker processing six event-driven workloads behind a single in-memory busy flag couldn't scale horizontally, couldn't deploy independently, and was hiding a race condition on its most critical data collection. Using a phased Strangler Fig migration, we decomposed it into five independent modern .NET Worker Services — sequenced by risk, validated by shadow runs, and delivered without a single outage.
Key Tradeoffs
- Operational complexity for independent failure domains.
- Redis dependency for safe horizontal scaling.
- Shadow run duration for cutover confidence.
- Strangler Fig pace for rollback safety.
- Shared NuGet contracts for consistency.
Multi-tenant architecture
A future-state model focused on cost efficiency, testability, and flexibility — moving from isolated single-tenant deployments to shared infrastructure with explicit tenant boundaries.
Key Tradeoffs
- Reduced infrastructure duplication and cost
- Higher design discipline required at every layer
- Tenant isolation must remain clear even when infra is shared
Technical debt sequencing
A structured approach to paying down debt in the right order — starting with the debt that blocks the highest-value architectural moves.
Key Tradeoffs
- Slower initial progress compared to opportunistic fixes
- Higher long-term velocity as blockers are cleared
- Requires communicating debt roadmap to non-technical stakeholders
Cost optimization strategy
Identifying infrastructure waste — over-provisioned resources, misaligned scaling policies, and redundant services — and eliminating it without sacrificing reliability.
Key Tradeoffs
- Risk of under-provisioning if optimization is too aggressive
- Improved unit economics and infrastructure budget
- Better understanding of actual load patterns and bottlenecks