Storage Team (Controller Performance) Aggregate Utilization

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Presentation transcript:

Storage Team (Controller Performance) Aggregate Utilization End User Application Team Server Team Architect Team Storage Team (Controller Performance) Aggregate Utilization Storage Team Architect Team End User Complaint Application Team Investigate Server Team Investigate Storage Team Investigate Open a NetApp Case Review IMT Review SLA Review CPU & Memory Requirement Open a Performance case HBA Firmware Review Controller Performance Workload Assessment Workload Assessment New Review Aggr Utilization NOT OK Existing For an SLA of no latency impact during TO Maintain HA combined Node Utilization less than 100% Read/Write? Sequential vs Random IO Size ? NOT OK Review NetApp FC/ iSCSI HUK, relevant MS Hotfixes and Linux/Unix Hotfixes Node Utilization Greater than 85% What has changed SAN Switch Firmware Review System Event Log or /var/log Review whether we have enough target port. Target Queue Depth Port is 2048 Review Disk Utilization Run the perfstat on the host where there is a performance issue with the controller. You must capture the period during the performance hit. Thereafter, upload the perfstat to the case owner Only applies to SAS and SATA only For an SLA where latency impact during TO is an acceptable risk Maintain HA combined Node Utilization less than 150% Review Application Event Log Review Application and Storage Vendor - Best Practises Controller ONTAP version Review MPIO Is the load balance across all Nodes Configuration Aggregate Disk busy greater than 50% Consider moving the load to other aggregate or Node NOT OK > 50% Application still having Performance Issue Resolve Application Issue Maintain aggregate utilization less than 50% Not Balanced Microsoft MPIO {Make sure its set to LQD} NetApp DSM Review Process Review Mulitpath on Linux/Unix Perform a volume Add more Target Ports move to another Node No Open a No software Vendor Case Review IOPS Did Application Improve Engage Duty Manager if issue is not resolved within satisfaction The load is balanced across multiple nodes Can we clamp the application down with QoS Case Closed Calculate the total number of Queue Depth for all the hosts NOT OK Yes Review HBA Queue Depth Yes SSD can yield as high as 82000 IOP/s SAS random access time ~7ms Gives ~120 IOP/s per data spindle SATA random access time ~10ms Gives ~80 IOP/s per data spindle Case Closed Tune HBA Queue Depth if necessary Perform a QoS against the LUN or Volume Review the Performance OK Review the Performance Case Closed IOPS required exceed the number of data spindles. Consider buying more disk spindles or move the load to SSD Not OK Performance OK Case Closed Open Apps/OS Vendor Case

therecsaosleved ownweirthin satisfaction End User Application Team Server Team Architect Team Storage Team (Controller Performance) Storage Team (Aggregate Utilization) Storage Team Architect Team Open a NetApp Case End User Complaint Application Team Investigate Server Team Investigate Storage Team Investigate Review IMT Review SLA Open a Performance case UCS Firmware Review CPU & Memory Requirement Workload Assessment Workload Assessment Review Controller Performance New For an SLA of no latency impact during TO Maintain HA combined Node Utilization less than 100% NOT OK Review Aggr Utilization Run the perfstat on the host where there is a performance issue with the controller. You must capture the period during the performance hit. Controller ONTAP version Existing Review System Event Log or /var/log Read/Write ?□ What has changed Sequential vs Random□ For an SLA where latency impact during TO is an acceptable risk Maintain HA combined Node Utilization less than 150% Node Utilization Greater than 85% IO Size ? Ensure that NOT OK OS (Ensure all OS tuning are in place) we are not saturating the 10gE link. Review Disk Utilization Review Review Application Event Log Application and Storage Vendor - Best Practises Only applies to SAS and SATA only Is the load balance across all Nodes Aggregate Disk busy greater than 50% Consider moving the load to other aggregate or Node Maintain aggregate utilization less than 50% Application still having Performance Issue Resolve Application Issue Vmware Hyper-V Native OS > 50% Not Balanced Add more Perform a volume move to another Node Review Process 10gE Ports to the SVM Ensure NFS TEhnegraegaefteDru, ty Ensure VSC is properly configured on all ESX Hosts Ensure all necessary hotfixes are applied mounts are properly configured based on best Open a software Vendor Case upMloaandagtheer if piessrfusetaitstonot therecsaosleved ownweirthin satisfaction No Review IOPS Application Improve NO Case Closed The load is balanced Can we clamp the application down with QoS practises across multiple nodes Ensure SSD can yield as high as 82000 IOP/s Ensure NFS YES Jumbo Frame is enabled from the Hosts to the mounts are properly configured based on best practises. Please review Best Practises Guides on NFS SAS random access time ~7ms Gives ~120 IOP/s per data spindle NOT OK Yes Controllers Case Closed SATA random access time ~10ms Gives ~80 IOP/s per data spindle Perform a QoS against the LUN or Volume IOPS required Review the Review the Performance Performance NOT OK exceed the number of data spindles. Consider buying more disk spindles or move the Not OK Performance OK Case Closed Performance is OK Open Apps/OS Vendor Case Case Closed load to SSD

http://www.cisco.com/en/US/docs/storage/san_switches/ mds9000/sw/rel_3_x/troubleshooting/guide/ts_guide.pdf