The BVQ Node / Cache / SAN analysis is well suited to find vulnerabilities and performance bottlenecks in SVC / Storwize or in the SAN.

 

We offer a webex on February 10 in  English CET 17:00, EST 11 am, PST 8 am, MSK 8pm Duration 1 hour Webex on February 13 in German 16:00 CET Duration 1 hour To enroll please use this link http://tinyurl.com/CALL-BVQ Please do not forgett to enter the following codes into the comment field Session Feb 10 (English) 1001 05.02 Session Feb. 13 (German) 1001 13.02

 

About the the BVQ Node / Cache / SAN analysis:
This is a quick test which gives a good overview if performance bottlenecks exist in the storage system. This test covers the SVC / Storwize nodes, the managed disk groups and the node ports. It is a very quick but deep analysis of the following areas in the IBM SVC or IBM Storwize systems.

An experienced engineer is able to perform this test in less than 20 minutes.

 

Content of the Node / Cache / SAN analysis

• Analyze node CPU and global cache
  By analyzing the heart of the SVC / Storwize it can be determined if there is a risk of running into performance bottlenecks because of high system or compression CPU load. First information can be obtained with a look into the global RW and write cache. Overflow conditions occur because of peak loads or slow backend performance.
   
• Analyze partition caches In the case of overflow conditions in one of the storage pools they can be found with a detailed analysis of the inner data circulation of the SVC / Storwize. Issues can happen here because of massive writes into the caches which sometimes are uncontrolled and can be avoided by better load distribution. Another sign can be that the backend storage is no longer able to cover the load.
   
• Analyze node port performance
  The outer data circulation of the SVC / Storwize can be analyzed by regarding the load distribution across the ports. By checking the buffer credit wait % or the error indicators it can be determined, if the SAN traffic is interfered by external blockages.

 

Tags:  monitoring performance_bottleneck svc analysis storwize