Database as a Service ===================== Benefits: - Open source AGPL 3.0 Licensing - Host it yourself, or use our hosting and Admin UI - SQL or GraphQL querying capabilities (Rest API standard as well) - Indexing supported - Powerful admin dashboard - Full featured querying out of the box - Logging and log querying for admins - Own your own data Name Ideas: - Ubermind - Pangolin - Hivemind - Black Sphere - Black Box Architecture Considerations - What database should we use? - Postgres - Mongo - CockroachDB - What kind of availability can we promise? - Kubernetes cluster with a sharded & replicated database - What query languages should we support? - What language should we write everything in? - Should we build our own data engine? - If we did, what would it look like? - Scaling to 100 users - MVP Simple docker cluster with manually managed roll outs and no SLA's with customers - Scaling to 10,000 users Boilerplate SLA's in place guaranteeing uptime Kubernetes cluster started, but still using a fairly simple database backend Able to handle everything for $1000 a month server bill, probably even less. - Scaling to 1m users - Big Boiiis league At this stage, we're generating consistent revenue and have several contracts for 5 figures Full kubernetes cluster with everything automated Fully replicated and sharded database # Market Research Estimates - @1000 users - 10gb data 10,000 gb (10 Tb) Bandwidth - 1Kib per request bandwidth - 50000 requests per day - 50Gib per day / bandwidth - 1500 Gib per month (1.5Tib) # Integrations are key These should be as close to one-click / one-command deploys. - Zeit deploy - DigitalOcean deploy - AWS Deploy - Linode Deploy - Home Server deploy # Profit Models - Hosting databases - Consulting / Setup fees - Patreon / Open Source Contributions & Sponsorships # Innovation - Fast K/V Store backend in Go with REST/gRPC front-end similar to Firebase but our own - Benchmarking against Firebase # Path to MVP - Socket.io layer for notifications - 1:1 feature library parity with Firebase?