Rindle Cloud runs the authoritative data tier for you: the
rindle-replicator write-master, its separately placed rindled
read-follower(s), and their durability — from one follower up to a multi-region,
read-scaled fleet. You bring your API server and your
browser client; the engine and the
correctness contract are exactly the
same as self-hosting, operated for
you.
This page gets you from signup to a running app. Connect your app then points your code at it.
1 · Sign in and add a card
Create an account at cloud.rindle.sh and add a payment method. Billing is usage-based — you’re not buying a fixed plan up front; the card is the consent to provision real infrastructure. The create form shows an estimated monthly price that updates live as you size your stack, so there are no surprises before you commit.
2 · Compose your stack
Instead of picking a pre-baked plan, you compose a deployment bottom-up, and the console shows the rung it maps to as you go:
- Read-followers — how many
rindledread-followers serve reads (1 to start). Every deployment also has onerindle-replicatorwrite-master feeding them and streaming continuous backup to object storage. - Follower regions — place each follower near the users it serves. Followers can share a region or spread across Fly regions; the write replicator stays a singleton.
A live topology diagram redraws as you toggle components, so you can see the shape you’re buying. The simplest pick is a write replicator plus one follower on its own machine. That is already the same scalable topology used by a larger fleet: raise the count and choose regions without replacing the app or changing its endpoints.
What’s provisionable today: replicated (one separately placed follower) and read-scaled (2–5 followers). All use the same write-master + follower topology; a stable fleet endpoint and signed affinity tickets place each browser on one follower. The availability table is the source of truth.
3 · Provision
Submit the form and the control plane provisions your app and converges it
toward your spec — it doesn’t fire-and-forget. The dashboard tracks that live: a
status pill (provisioning → active), a topology diagram folding your desired
spec together with each node’s real power state, and the observed Fly resources as
they come up. The page refreshes itself while it converges.
4 · Connect your code
Once the app is active, the dashboard’s Connect panel hands you the live-query, read-control, and write-master endpoints plus their server-side tokens — with copy-paste snippets for each. Follow Connect your app to wire them into the same SDK you’d use anywhere.
Next steps
- Connect your app — point your API server and frontend at the managed daemon.
- Scale & operate — resize, suspend/reactivate, and what each shape costs.
- The deployment menu — every profile, top down, and what runs it.
- The three-tier architecture — the local-first shape the whole thing is built on.