A deep dive into Write Ahead Logs (WAL) - the fundamental technique that ensures data durability in distributed systems, databases, and streaming platforms.

How readiness-based I/O (epoll/kqueue) lets C servers scale: level vs edge triggering, drain-until-EAGAIN, fair scheduling, timers, and backpressure—without 3 a.m. incidents.

How the Linux page cache actually works, what mmap buys you over read/write, where readahead and writeback help (or hurt), and when O_DIRECT is the right tool—not the default.

Implement lock-free stacks/queues in C and reclaim memory safely: ABA, tagged pointers, hazard pointers, and epoch-based reclamation—what they are, when they win, and how to use them without footguns.

Pick the right engine; exploit Apache Arrow and expression pipelines to get faster, more memory‑efficient DataFrames in Python—without painting yourself into a corner.

A production-first tour of CPython’s memory model: what refcounts really guarantee, how the cyclic GC works, why RSS doesn’t always go down, and how to reason about growth without guesswork. Part 1 lays the mental model and refcounting truths.

A practical, low-overhead toolbox for Python performance: what to use (and when), how to keep overhead in single digits, and how to read profiles you can trust.

Make Python types carry their weight: combine static checking (mypy/pyright) with fast runtime validation (Pydantic v2) to turn annotations into contracts that prevent bugs, speed up onboarding, and keep hot paths fast.

The shortest safe path from Python to C-speed: a practical roadmap for choosing Cython, cffi, HPy, or the raw C API, with a minimal wheelable extension, packaging/ABI mental models, and performance guardrails you can apply today.

Build async services that stay responsive under load: apply backpressure with bounded queues, adopt structured concurrency, and make cancellation a contract with deadlines.