Condusiv Technologies Blog

Condusiv Technologies Blog

Blogging @Condusiv

The Condusiv blog shares insight into the issues surrounding system and application performance—and how I/O optimization software is breaking new ground in solving those issues.

The Biggest Missed Culprit in SQL Performance Troubleshooting

by Brian Morin 18. February 2015 09:53

"We didn't know how much of our SQL performance was being dampened by the nasty 'I/O blender' effect….."

As it turned out, it was HALF. 

That's right. Their systems were processing HALF as many MB/sec than they should due to the noise of all their VM workloads meeting and mixing at the point of the hypervisor. The first thing the "I/O blender" effect does is tax throughput, so your application performance becomes far more dependent on storage IOPS than it needs to be.

Read the full story how I.B.I.S., Inc. doubled performance of their CRM and ERP by eliminating the I/O
blender effect ->
 

So what is the "I/O blender" effect and how is it taxing application performance? 

The "I/O blender" effect is a phenomena specific to a virtual server environment where the I/O streams from disparate VMs are "funneled" together at the point of the hypervisor before sending out to storage a very random I/O stream that penalizes overall application performance.

Every organization that has virtualized has experienced this pain. They virtualized their applications only to discover mounting I/O pressure on the backend storage infrastructure. This was the unintended consequence of virtualization. Organizations save costs on the compute layer via virtualization only to trade those savings to backend storage where a forklift upgrade is necessary to handle the new random I/O demand.

In the case of I.B.I.S., Inc., their IT Director wanted to look into this problem a little further to see what could be done before reactively buying more storage hardware for improved performance.

"We wanted to try V-locity® I/O reduction software first to see if it could tackle the root cause problem as advertised at the VM level where I/O originates," said Kevin Schmidt, IT Director.

As much as IT departments lack monitoring tools that show exactly how much performance is dampened by the "I/O blender" effect, V-locity comes with an embedded benchmark to give a before/after picture of I/O reduction and demonstrate how much performance is improved by combatting this problem at the Windows operating system layer.

As it turned out, I.B.I.S., Inc.'s heaviest SQL workloads saw a 120% improvement in data throughput. Before V-locity, it took 82,000 I/Os to process 1GB of data. After V-locity, that number was cut to 29,000 I/Os per GB. Due to the increase in I/O density, instead of taking .78 minutes to process 1GB, it now only takes .36 minutes.

"Since we're no longer dealing with so many small split I/Os and random I/O streams, V-locity has enabled our CRM and ERP systems to process twice the amount of data in the same amount of time. The best part is that we didn't have to spend a single dime on expensive new hardware to get that performance," said Schmidt.

Read the full case study ->

Tags: , , , ,

Disruption, Application Performance, IOPS | virtualization | V-Locity

SQL Batch Job Hell

by Brian Morin 1. October 2014 04:16

ASL was in SQL batch job hell.

A regular import of 150 million records into their SQL database would take 27 hours to complete.

ASL’s account team and clients needed access to the most current data immediately, but the 27 hour batch job meant that access would slip a full day of production or even two. That wasn’t acceptable as some clients would hold back business while waiting on new data to come online.

“Typically, IT professionals respond to application performance issues by reactively buying more hardware. Without the luxury of a padded budget, we needed to find a way to improve performance on the hardware infrastructure we already have,” said Ralph Ortiz, IT Manager, ASL Marketing.

ASL upgraded their network to 10GbE and was looking at either a heavy investment in SSD or doing a full rip-and-replace of the SAN architecture before its full lifecycle. Since that kind of hardware investment wasn’t in the budget, they decided to take a look at V-locity® I/O reduction software.

“I was very doubtful that V-locity could improve my I/O performance through a software-only solution. But with nothing to lose, we evaluated V-locity on our SQL servers and were amazed to see that, literally overnight, we doubled throughput from server to storage and cut our SQL batch job times in half,” said Ortiz.

After deploying V-locity, SQL batch jobs that used to take 27 hours to complete now take 12–14 hours to complete. The weekly college database import that used to take 17 hours to complete is now down to 7 hours.

Read the full case study – ASL Doubles Throughput with V-locity I/O Reduction Software

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