These are my personal technical notes: some are distilled from long AI-assisted conversations and shaped into articles, while others are written entirely by me.
If you don't like the UI (it was vibe-coded with Codex; blame him, it's readable enough for me), you can find the articles in the [repo].
Summary of conversation with GPT about Apache Kafka's core concepts, including producers, brokers, topics, partitions, messages, consumers, replication, partitioning, ZooKeeper, and KRaft.
A deep dive into JavaScript Map behavior, insertion order, iterators, SameValueZero equality, LRU cache usage, and V8's OrderedHashMap implementation details.
A practical mental model for libuv, Node.js event loops, OS sleeping, filesystem I/O, streams, backpressure, worker threads, and the libuv worker pool.
A practical Kubernetes guide covering core architecture, Pods, Deployments, Services, probes, ConfigMaps, Secrets, storage, Ingress, and common production mental models.
A practical guide to Redis as an in-memory data structure store, including core data types, TTLs, atomic operations, Lua scripts, distributed locks, sharding, rate limiting, cache stampede protection, replication, and production trade-offs.
Chapter notes on DDIA, covering reliable systems, data models, storage, replication, partitioning, transactions, and consensus.
Notes from system design chapters and practice designs, covering scaling, estimation, rate limiting, storage, feeds, chat, video, file sync, and trading systems.
My answers for practical interview questions about specific technologies like React, JavaScript, and Node.js.