In distributed deployments with multiple worker servers updating dashboards in parallel, the current update mechanism relies on incrementing and decrementing shared counters based on timestamp heuristics. This approach is susceptible to race conditions, which can produce inconsistent or negative values on dashboard widgets. This enhancement would make the dashboard update mechanism idempotent and safe for concurrent, multi-worker execution, ensuring counter updates are applied consistently regardless of timing or ordering. Reliable, consistent dashboard values are essential for customers operating large, multi-server environments who depend on dashboards for accurate operational visibility and trust in the platform.
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