Scale Tiled over Multiple Nodes

Several Scientific User Facilities run deployments of Tiled that are horizontally scaled over multiple nodes.

At least one uses Kubernetes with a Helm chart maintained in the Tiled repository. Another uses Ansible for orchestration of a fleet of VMs.

We aim to expand this page to share more details, including host resources, load balancer configurations, and other recommendations.

Redis high availability for streaming

Live data streaming (WebSocket subscriptions) is backed by a shared Redis streaming_cache, so in a multi-node deployment every Tiled node must point at the same Redis. To keep streaming available across a Redis outage, run Redis in a high-availability topology (a primary with replicas fronted by Redis Sentinel) and configure Tiled with sentinels and service_name instead of a single uri; the client then follows Sentinel through a failover and resumes subscriptions against the newly promoted primary.

Live streaming is best-effort: it is delivered over Redis Pub/Sub, which is at-most-once, and the durable record is the SQL catalog, which is committed before the streaming publish. An ordinary connection drop is lossless — the client reconnects and resumes from the sequence number after the last one it received, and the server replays anything it missed — so a normal reconnect neither loses nor duplicates updates.

The residual risk is a Sentinel failover to a replica that had not yet caught up. Redis replication is asynchronous and there is no per-write replication confirmation, so two things can happen. First, any update the old primary accepted but had not yet copied to that replica is gone — subscribers never receive it. Second, the promoted replica’s sequence counter is lower than the old primary’s, so as new updates arrive it hands out sequence numbers that were already used, and subscribers receive those numbers a second time (now labeling different data). Setting min-replicas-to-write / min-replicas-max-lag on the Redis primary narrows this window but does not close it. See Service Configuration Reference for the full streaming_cache field reference.