Forbes June 11, 2025
Kiran Patibandla is a principal architect with experience in data platforms, conversational AI and digital media streaming.
When a data platform breaks, the clock starts ticking. Engineers rush to diagnose the problem, pull logs, investigate errors and take corrective measures. Every minute of downtime adds cost, risk and lost productivity. In large organizations with complex data ecosystems, these disruptions are not occasional—they are inevitable.
Yet most companies still rely on manual recovery. Teams are stuck in reactive cycles, responding to alerts and patching problems after the damage is done. As data volumes grow and pipelines become more intricate, this model is no longer sustainable.
To reduce downtime and scale operations more effectively, data platforms need to self heal. That means...
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