Here is a failure mode that shows up in every system with more than two backends: round robin distributes requests
Continue readingLoad Balancing Beyond Round Robin: Least Outstanding Requests and Consistent Hashing
Serving a large language model to thousands of concurrent users is, underneath all the marketing, a memory management problem. Every
Continue readingDeepSeek-V4.1-Flash: Why the Most Interesting AI Paper This Month Is About Storage
Server-Side Request Forgery (SSRF) keeps topping real-world breach reports for a simple reason: modern applications are glued together with outbound
Continue readingSSRF Defense in Go: Why URL Validation Fails and How to Fix It at the Dial Layer
Goroutines are famously cheap. You can scatter a hundred thousand of them across a program without thinking twice, and the
Continue readingInside the Go Scheduler: G, M, P, Work Stealing, and Preemption
Sooner or later, every API designer hits the pagination wall. The endpoint works fine in staging, then production traffic arrives
Continue readingAPI Pagination Strategies: Offset, Cursor, and Relay Connections Done Right
Every team says they care about reliability, but very few can answer the follow-up question: how reliable, exactly, and how
Continue readingSLOs and Error Budgets: The Math That Decides When to Ship and When to Stop
Autoregressive decoding is the reason large language models feel slow: every token is generated by a full forward pass, and
PostgreSQL takes an ACCESS EXCLUSIVE lock for most ALTER TABLE operations. That lock conflicts with everything — reads, writes, even
You open your tracing backend to debug a slow checkout request and find five disconnected traces instead of one. Five
Your microservices fleet has 3,000 machine identities and 300 employees — a 10:1 ratio that is conservative by industry standards,