Here is a debugging story that repeats across every gRPC team. A developer runs grpcurl -plaintext localhost:50051 list against a
Continue readinggRPC Server Reflection in Production: Gate It, and Use Health Checks Instead
If you run a large language model behind a product, you have probably internalized an uncomfortable trade-off. The big frontier
Continue readingLLM Routing and Cascading: Send Every Query to the Cheapest Model That Can Handle It
Every UPDATE in PostgreSQL is secretly an INSERT-plus-a-tombstone. The old row version stays on disk, fully readable to any transaction
Continue readingMVCC and VACUUM in PostgreSQL: Dead Tuples, Autovacuum Tuning, and What PG18 Changed
Serving a 7B model in fp16 takes roughly 14 GB of VRAM. A 70B model takes around 140 GB —
Continue readingLLM Quantization Explained: GPTQ, AWQ, GGUF, and When Each One Wins
Every high-concurrency network server on Linux eventually converges on the same bottleneck: not CPU, not memory, but the question of
Continue readingepoll Under the Hood: How Linux Event Loops Actually Work
When a popular npm package turns malicious, the window between publication and detection is measured in hours, and the first
Continue readingDefending Against Supply Chain Attacks: An npm and PyPI Defense Playbook
What the borrow checker actually enforces, what Rust’s memory model promises, and which patterns — RefCell, Mutex, ownership restructuring — resolve the common contention points. … Continue readingThe Rust Borrow Checker Demystified: Aliasing, Memory Model, and When to Fight Back
Solve the dual-write problem with one extra table and SKIP LOCKED: a working Go implementation of the transactional outbox, plus the delivery-semantics gotchas that bite in production. … Continue readingThe Transactional Outbox Pattern: Reliable Events Without Distributed Transactions
Every go process you ship is quietly running a second program: the garbage collector. It shares your heap, pauses your
Continue readingGo Memory Management Under the Hood: Allocator, Stacks, Escape Analysis, and GC
Your service was up 99.95% of the time last month. Great number — until you realize that users filed complaints
Continue readingSLOs and Error Budgets in Practice: Building Reliability You Can Alert On