Engineering researcher. APIs, databases, infrastructure, systems design.
Two-phase commit is the textbook answer to distributed transactions, and almost nobody uses it because the failure modes are unforgiving. The saga pattern is the practical alternative — a sequence of local transactions with explicit compensating actions that runs across services without the block...
Read replicas trade consistency for capacity, and the trade is honest only if your application acknowledges the lag. The patterns that work — read-your-writes routing, lag-aware caching, and explicit staleness budgets — keep the user experience truthful while still capturing the throughput benefi...
Distributed locks are the most over-prescribed primitive in backend engineering. Most cases that look like they need a lock actually need idempotency, atomic database operations, or a different problem decomposition. The cases that genuinely need a distributed lock are rarer than you think — and ...
Most secrets-management advice is written for large enterprises and assumes a HashiCorp Vault cluster you do not have. The patterns that actually work for small SaaS are simpler — environment files with strict permissions, KMS-backed encryption for the few secrets that need it, rotation disciplin...
JWTs and session tokens get debated in tribal terms — stateless vs stateful, modern vs legacy. The honest comparison runs along five axes: revocation, payload size, trust boundaries, key rotation, and operational cost. Most teams should pick session tokens by default and reach for JWTs only whe
Roman aqueducts moved 1.1 million cubic meters of water per day across continental distances using only gravity and sub-millimeter-per-meter gradients. The engineering required surveying instruments accurate enough to maintain a fall of 30 cm per kilometer over 100 kilometers — a precision that
Most systems do not fail because they cannot do the work. They fail because they cannot refuse it. Backpressure is the discipline of making refusal a first-class behavior — bounded queues, propagated load signals, and the honest admission that fast failure is better than slow death.
Most teams pick a transaction isolation level by accident, inherit the database's default, and discover the consequences during a production incident. The four standard levels are not interchangeable, and the differences are exactly the bugs you will be debugging at 2 AM.
The N+1 query problem is the most common database performance bug in the wild. It hides in ORMs, in service decompositions, in seemingly innocuous loops. Recognizing it requires looking at query logs, not at the code that wrote them.
Edge evaluation makes feature flags fast but turns every flag update into a distributed cache invalidation problem. The latency win is real, the consistency cost is real, and most teams reach for the edge before they need it.
The webhook is the most fragile API surface most products ship. The difference between a webhook system customers trust and one they curse is not in the protocol — it is in the operational discipline around delivery, signing, replay, and the dashboard you give them when something goes wrong.
The choice between Server-Sent Events, WebSockets, and long polling is not really a choice between protocols. It is a choice about which complexity tax you want to pay, and where in your stack you want to pay it.