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How do you configure Caddy for zero-downtime configuration reloads at scale?

A single reload already avoids downtime through Caddy's admin API; scaling that reliably across a fleet needs a bit more process discipline on top.

sequenceDiagram participant Op as Deploy pipeline participant N1 as Caddy Node 1 participant N2 as Caddy Node 2 participant AdminAPI as Admin API (:2019) Op->>Op: Validate config with caddy validate Op->>N1: POST /load new config AdminAPI->>N1: Build new runtime config in memory N1->>N1: Swap listeners/handlers atomically N1-->>Op: 200 OK, old config drained Op->>N2: POST /load new config (repeat per node)

Locally, caddy reload (or a POST to /load) works by building the entire new configuration in memory first, then atomically swapping it in for the old one; listeners that are unchanged between the old and new config are kept open rather than closed and reopened, so in-flight connections on those ports are not dropped. At fleet scale, the practice is: validate the config offline first with caddy validate --config Caddyfile, roll the reload out node by node (or via a deployment tool) rather than all at once, and watch each node's response and logs before moving to the next, so a bad config only affects one node at a time instead of the whole fleet.

Reloading Caddy applies new config by:
Before rolling a config change across a fleet, a safe practice is to:

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