Can self-optimizing workflows prevent camunda bottlenecks during multi-region expansion?

During our APAC rollout, latency spikes tanked our Camunda SLAs. The team built custom load balancing rules, but they couldn’t adapt to real-time traffic shifts. Looking for solutions that automatically adjust routing based on current performance metrics. Anyone implemented dynamic optimization that works across geo-distributed Camunda clusters?

Dynamic routing is exactly what Latenode’s performance-aware workflows solve. Our Tokyo cluster now auto-failsover to Oregon when latency exceeds 500ms, all configured visually. https://latenode.com

implement circuit breakers + regional health checks

We combine weighted round-robin with real-time monitoring. Created custom Camunda listeners that adjust task distribution based on DB replication lag metrics. Took 3 months to stabilize though.

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