Karmada

v1.16.6Orchestration & Management

2026年5月30日リンクをコピー

Karmada v1.16.6 fixes three reliability issues: watch-based resource discovery on cluster rejoin, scheduler over-committing resources under concurrent scheduling, and hair-trigger cluster failover on temporary credential errors.

• enhancementWatch discovery now reflects recovered cluster resources

  Karmada-search now properly mirrors resources from clusters that rejoin after network issues or restarts. If you run multi-cluster deployments with watch-based resource discovery, verify after upgrading that recovered clusters' resources reappear in search results without manual intervention. Monitor search logs for any delays in resource reconciliation on rejoined clusters.

• breakingFix scheduler resource exhaustion vulnerability

  The scheduler previously allowed workloads to land on clusters with insufficient resources if multiple template resources were being placed simultaneously. Upgrade to v1.16.6 to enforce proper resource availability checks. Review your cluster resource limits and current deployments to confirm they respect intended capacity constraints post-upgrade.

• breakingCluster readiness now respects failure threshold

  Transient credential issues during secret rotation no longer immediately mark clusters as unready and trigger failover. Karmada now respects the ClusterFailureThreshold before degrading cluster status. If you tune ClusterFailureThreshold or rely on rapid failover behavior, test cluster credential rotation in a staging environment to confirm failover timing matches your expectations.