Cache TTL Reduction vs API Request Surge: Which Trade‑off Fits Portainer in Resource‑Limited Setups?

Goal: Display current container states in Portainer’s UI without exceeding Docker API rate limits on hosts with limited resources.

Portainer caches container metadata to lower API latency, but the default TTL can leave the UI showing stale status. Lowering the TTL or disabling the cache improves freshness yet raises the number of API calls, which may trigger rate‑limit errors in constrained clusters. The platform does not document a specific event‑driven cache invalidation mechanism, leaving administrators unsure when updated state will appear.

What cache TTL value provides acceptable freshness while keeping API traffic below typical rate‑limit thresholds for a small swarm? Can Portainer be configured to invalidate its cache automatically on container state changes instead of relying on a fixed interval? Should administrators disable caching for specific connectors and monitor API usage manually to avoid stale data?