Repair Bandwidth Saturation
The phenomenon where data reconstruction operations after a disk or node failure consume so much network and disk bandwidth that production I/O performance degrades significantly.
Summary
The phenomenon where data reconstruction operations after a disk or node failure consume so much network and disk bandwidth that production I/O performance degrades significantly.
Repair bandwidth saturation is the operational trade-off of self-healing object storage. The system must rebuild data to restore durability, but the rebuild process competes with production traffic for the same finite bandwidth — creating a tension between durability recovery and performance.
- Throttling repairs to protect production I/O extends the rebuild window, increasing the risk of data loss from a second failure. There is no free lunch — the trade-off is explicit.
- Network topology matters. In rack-aware deployments, repair traffic may concentrate on specific network links, creating hotspots even if aggregate bandwidth is sufficient.
constrainsRebuild Window Risk — repair speed determines vulnerability durationconstrained_byGeo-Dispersed Erasure Coding — cross-site repair consumes WAN bandwidthscoped_toObject Storage
Definition
The phenomenon where background data reconstruction after a failure consumes so much network and disk bandwidth that production I/O — client reads and writes — is visibly degraded.
Connections 2
Outbound 1
scoped_to1Inbound 1
constrained_by1Resources 2
Ceph OSD configuration reference for tuning recovery bandwidth limits, backfill ratios, and priority settings.
MinIO erasure coding and healing documentation covering bandwidth consumption during data repair operations.