Your startup just launched. Requests flow left to right — reads, writes, key lookups and analytics — into one small SQL box.

Served requests earn money and grow your user base. Errors send users packing — fast — and burned reputation rebuilds slowly. Bleed all the way out and you're busto.

You start with runway, not revenue. The bar below the map is your burn, broken down by subsystem: each one costs a big fixed amount the moment it exists — the team who knows it, the dashboards, the 3am pages — plus a small amount per node. Your first KV node is expensive; the tenth is cheap. Anything not carrying its weight can be scaled back down with −, and you stop paying for it.

Each run draws a different workload — the bar above the map shows your traffic mix (hover it). Architecture that prints money on one workload is a cash sink on another. Read the workload before you spend.

Watch the CPU and CONN gauges: databases die of connection starvation before they die of CPU, and latency explodes long before utilization hits 100%. Each disaster you survive mints an insight card — your interview crib sheet.

Hover any component to interrogate it: traffic, latency, errors, saturation and run-rate — the four golden signals, per box.

Stuck? The 🧘 Guru in the corner diagnoses the board live — what your cluster is actually spending its work on, and what to buy next. Management will also have opinions; they are not always wrong. 📣 mutes them.

Reach 1,000,000 requests/second and hold it. Space pauses.