Observability Strategies for Production Systems
Logging, metrics, and tracing that actually help when things break. Building observability into debt-collections or fintech systems from day one.
Explore our collection of working notes, system thinking frameworks, and practitioner guides.
Logging, metrics, and tracing that actually help when things break. Building observability into debt-collections or fintech systems from day one.
Modeling loan lifecycles as state machines. From origination through payoff, handling transitions, edge cases, and state-dependent business rules.
A debt-collections view of the inbound account record. How to validate consistently with JSON Schema, then index in OpenSearch for fast worklists, segmentation, and exception handling.
Practical database design patterns for loan management, payment history, and account relationships. Balancing normalization with query performance.
Understanding idempotency, retry logic, and reconciliation patterns when handling payments at scale in lending platforms.
Mental models for building event-driven systems. Understanding event sourcing, CQRS, eventual consistency, and when to use them in fintech contexts.
Anticipating how financial systems fail and building resilience. Circuit breakers, fallbacks, graceful degradation, and operational recovery.
Mapping how data moves through lending and collections systems. Understanding dependencies, bottlenecks, and designing for data integrity.
REST API patterns for financial operations. Idempotency, versioning, error handling, and designing APIs that external partners can trust.
Building automated collections workflows that balance recovery rates with customer experience. Dunning strategies, payment arrangements, and escalation paths.
Complex systems are not solved in one sitting.
They are understood, one SiP at a time.