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概览
实践案例
功能
配置
开发者
安全
管理
开始管理
节点清单运行策略上线清单
发布管理
构建与签名验证与晋级平台覆盖
资产治理
生命周期决策技能版本质量信号
蜂群运维
工作节点与任务共享工作拓扑健康
运行与恢复
监控备份事件响应
EvoX 文件/Product/拓扑健康

Topology health

Topology here primarily means the relationship structure of the local memory graph and its assets. It can expose orphaned, duplicated, stale, or unusually concentrated experience. It is not an automatic scheduler, trust promoter, or publisher.

Inspect diagnostics

bash
evolver memory-graph status
evolver asset-health
evolver reuse-report
evolver cycles

Conditions to investigate

  • Many assets have no traceable provenance, validation, or reuse relationship.
  • Similar failures keep creating new assets without convergence or revocation of old strategies.
  • A few stale assets dominate recall while new real outcomes do not enter the graph.
  • Events exist but materialized views are missing, or report counts disagree.
  • Reuse remains concentrated in one environment with no cross-environment evidence.

Investigation order

  1. Confirm identity and data homes so state from two nodes is not mixed.
  2. Check event-log integrity, asset IDs, and recent cycles.
  3. Inspect real reuse outcomes and lifecycle state for anomalous assets.
  4. Only when the event source is healthy and a derived view is damaged, back up first and run evolver replay to rebuild views.
  5. Repair provenance, indexing, or stale assets and observe again; do not delete events merely to improve metrics.

Operating boundary

Graph density, repetition, or group relationships can trigger investigation. They cannot by themselves raise Worker capacity, promote an asset, or classify a node as unhealthy.

Related pages

  • Quality signals
  • Audit trail

EvoX Docs · Administration · Swarm operations

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