Sheet-Native Computing Foundation

🖥️ Live Demo

Three real Google Sheets, each a Sheeternetes cluster, running one federated application across web, data and edge tiers. The spreadsheet is the cluster — open them and read the running state. It reconciles.

The application

A classic three-tier app, spread across three spreadsheet clusters and stitched together by Sheetmesh. Traffic flows web → api → data, with WASM functions at the edge.

🌐 cluster-a — web tier

web · api · frontend (nginx, httpbin). Services via Sheetlium DNS aliases.

💾 cluster-b — data tier

postgres (on a Sheetstor volume) · redis. Persistent storage, spreadsheet-native.

⚡ cluster-c — edge / WASM

wasm-fn (SheetAssembly, wasmtime) · cdn · ai-router (Sheetelligence).

🌐 cluster-a · web tier

3 deployments · 2 nodes · 7 pods running. Demonstrates Sheeternetes (scheduling, replicas), Sheetlium (service DNS).

💩 Sheeternetes🕸️ Sheetlium
Open cluster-a →

💾 cluster-b · data tier

postgres + redis · 2 nodes · a Sheetstor volume (pgdata, 1 GiB, replica factor 2). Demonstrates Sheetstor (storage) and cross-cluster Sheetmesh.

💾 Sheetstor🔗 Sheetmesh💩 Sheeternetes
Open cluster-b →

⚡ cluster-c · edge / WASM

wasm-fn runs as WASI modules via SheetAssembly (runtime: wasm), plus a CDN and an AI router. SheetAIOps reports no anomalies.

🧩 SheetAssembly🤖 Sheetelligence🔮 SheetAIOps
Open cluster-c →

How to make it fully live

These Sheets hold the real control-plane state (Deployments, Nodes, Pods, Events, Volumes). To drive them for real: deploy the Apps Script apiserver on each Sheet, point kubelet.sh at your Docker hosts, and manage with skctl — or install the whole toolbox at once with SheetyStack. Then Sheetfana renders it and Sheetheus scrapes it. It reconciles.