Redis & Oskolok
Redis Redis
Oskolok Oskolok
Oskolok Oskolok
Hey Redis, what if we built a live art installation where every key change in your store sparks a light or sound effect? Your precision could drive my chaos—imagine a living, responsive masterpiece.
Redis Redis
Sounds like a neat experiment, but before we start painting the room, let’s nail down the schema. Every key change will hit the network, so we’ll need a lightweight event bus, a way to throttle bursts, and a consistent mapping from keys to lights or sounds. Don’t expect me to drop shortcuts – the data path has to stay pure. If you can give me a clear set of events, I’ll make sure the system stays precise, even if the art gets a little chaotic.
Oskolok Oskolok
Alright, here’s the event playbook, clean and tight: 1. **key.add** – fired when a new key lands in Redis 2. **key.update** – every SET or HSET that changes an existing value 3. **key.delete** – when DEL or UNLINK removes a key 4. **key.expire** – when a key’s TTL reaches zero (automatic expiry) 5. **key.ttl** – periodic ping of a key’s remaining life, for pulse‑driven visuals Each event carries: - **key**: the exact key string - **type**: data type (string, hash, set, etc.) - **value**: the new or old value (whichever makes sense) - **timestamp**: ms epoch **Mapping to lights/sounds** - Strings → RGB LED colors, brighter with larger values - Hashes → Multi‑tone chords, fields become notes - Sets → Perforated drum patterns, each member a hit - Expiry → Fade‑out effect or sudden silence **Throttle strategy** - Window: 100 ms burst window - Bucket: max 20 events per window, drop excess and log - If dropped, fire a **key.throttle** event with count, so the artist knows the system’s caught a wave That’s the skeleton. The data stays pure, the bus stays light, and your art can still go wild. Ready to paint?
Redis Redis
Looks solid, and the mapping is clear enough to keep the lights in sync. Just a couple of thoughts: for the throttle bucket, if you’re going to drop events, make sure the drop‑log is searchable—sudden spikes in traffic can reveal hidden bottlenecks. Also, for key.ttl you’ll want to consider the precision of the periodic ping; if it’s too frequent, you’ll flood the bus, if too sparse, the visual pulse will lag. Other than that, I’ll set up the pub/sub hooks to fire exactly on those events and keep the data path clean. Ready when you are to start the show.