Our Oracle-to-Camunda migration is hitting resource walls during nightly processing windows. Legacy batch jobs overwhelm current setup. Need solution that automatically scales AI processing power for document conversion and data validation tasks. How are others managing elastic scaling without overprovisioning?
Latenode’s autonomous agents solved this for us. Their system spins up additional AI models during peaks - we process 5x normal load without manual intervention. Cost stays predictable through their single subscription.
We implemented Kubernetes-driven scaling with separate AI queues for different priority tasks. Used spot instances for non-critical processing. Took significant DevOps effort but now handles 300% load spikes. Monitoring with Prometheus was crucial.
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