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Varonis Fpolicy 最佳实践和建议

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适用于

  • CIFS
  • NFS
  • Varonis
  • FPolicy

问题解答

关于 Varonis Fpolicy 部署有哪些最佳实践和建议?
Varonis 具体建议:

这些建议将根据 Varonis 指南一起执行,并且可能需要客户联系 Varonis 以获取更多详细信息/说明。

NetApp 具体建议:
  • 对于 Varonis External Engines,将 send-buffer-size 设置为 7895160

::*> vserver fpolicy policy external-engine modify -vserver <vserver> -engine-name <engine-name> -send-buffer-size 7895160

  • 为了减少延迟的潜在影响,在 Varonis 的指导下,将中止超时设置得较低,例如:5秒。

如果收集器和 SVM 之间存在大量延迟,则可能会导致 TCP 确认延迟,并在极少数情况下对延迟产生潜在影响。

为了在收集器上存在连接问题或 CPU 不足的情况下减少最终用户的延迟,建议将"中止请求的超时"从 40 秒降低到 5 秒。 

 ::*> vserver fpolicy policy external-engine modify -vserver <vserver> -engine-name <engine-name> -reqs-abort-timeout 5s 

请参阅以下文档:vserver fpolicy policy external-engine show

(有关此建议的更多信息,请参阅 Varonis KB:Fpolicy-Impacts-NetApp-Performance-LatencyNetApp CM Monitoring Results in NetApp Client Latency

 

  • 为了减少延迟的潜在影响,请在 Varonis 指导下设置 fpolicy 事件过滤器。

Fpolicy 事件过滤器

在正常活动期间,fpolicy 可能会造成延迟。为了最大程度地减少延迟,我们可以过滤 fpolicy,使其不发送我们未监控的事件。我们建议同时过滤"first-read"和"first-write"。

::> vserver fpolicy policy event create -vserver <Vserver Name> -event-name fp_event_varonis_cifs
-file-operations create,create_dir,delete,delete_dir,open,read,write,rename,rename_dir,setattr -protocol cifs
-filters first-read,first-write,open-with-delete-intent

一般建议:
  • 根据TR-4429 Varonis DatAdvantage 最佳实践

    • 查看上述 TR 以获取更多最佳实践,包括:

To avoid performance issues, deactivate FPolicy during the following scenarios:
Note: Activation of an FPolicy can increase the usage of resources on those stores and affect the performance of applications that use them.
• When performing large data migrations from one NetApp storage system to another (large write or modification of files)
• When upgrading your release of ONTAP to a newer version
• When performing a Varonis upgrade (both IDU and probes or collectors)

After performing any of these actions, you can safely activate FPolicy.
Note: Manage VM datastores or SQL Server datastores with FPolicy with caution, because such stores are not accessed by humans and do not host human-generated data

 

 

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