1. Idempotency in Payment Flows
Coming SoonHow to design payment and order workflows so retries do not create double charges, duplicate state changes, or messy support incidents.
Technical writing, backend notes, architecture breakdowns, and the explanations I want to be known for over time.
This page is for thinking in the open: better explanations, sharper technical writing, and ideas that are useful after the code has shipped.
I want this page to show how I think, not just what I ship. The goal is to write and record the kinds of backend notes that make strong engineers easier to trust: tradeoffs, failure modes, debugging stories, architecture decisions, and real implementation details.
The long-term arc is simple: distributed systems, system design, reliability, practical AI experiments, and clearer technical communication. If I do this well, the page becomes proof of both engineering depth and how I explain it.
How to design payment and order workflows so retries do not create double charges, duplicate state changes, or messy support incidents.
Why backend ownership is more than writing endpoints: debugging, observability, deployments, performance, incident response, and clean handoffs.
Tenant isolation, configuration boundaries, RBAC, schema choices, and the practical mistakes teams make when they scale a product.
A practical walkthrough of finding slow SQL, understanding query plans, and improving backend latency without prematurely rewriting everything.
Using Ollama and local models for useful developer workflows, plus the tradeoffs around privacy, latency, quality, and when not to use them.
A short visual breakdown of services, Kafka events, retries, DLQs, idempotency keys, and how the workflow stays correct.
A guided tour of tenant-aware APIs, RBAC, admin workflows, and how the system stays clean as tenants and features grow.
Show worker leasing, retries, execution history, failure recovery, and what makes schedulers harder than they look.
A practical video on how to trace latency issues, inspect SQL bottlenecks, and fix a performance problem end to end.
How I use Ollama and local model experiments for writing, code exploration, automation, and personal developer productivity.