The problem with storage isn't capacity, it's performance. TBs != IOPS
Most companies spend 2x - 3x as much on storage as they do on server virtualization. But storage capacity isn't the issue, it's storage performance. Technologies like server-side caching can improve storage performance by bringing the content closer to the workload. And faster storage means faster apps.
Infinio's offload engine boosts the performance of VMware environments running on NFS storage, letting you get more IOPS from the NAS you already have.
This presentation is from the SpiceCorps Boston Storage meeting held January 22, 2014.
2. The challenge: Increasing storage costs
“Most companies spend $2 to
$3 on storage for every dollar
spent on server virtualization
projects.”
Jason Ader and Dmitry Netis, William Blair & Co.
9. Server-side caching
• Decoupling performance from capacity
• Brings the content closer to the workload
• Different kinds of caching (read-only/write-back/write-through)
• Application acceleration vs. storage offload
• RAM or Flash/SSD?
12. Benefits
• More IOPS from the NAS you already have
• No new hardware required
• Zero downtime for installation – no reboots
• Installs in <30 minutes
• Immediate results
• One-click removal
18. No hero numbers
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•
•
•
•
Customer wanted higher VM density per datastore
Moved 3 production servers to datastore
Saw latency levels spike to 250ms
Accelerated one host out of cluster
Saw latency drop to 20ms
Spared 8GB, reduced latency 12x
21. Next steps
• Find us on Spiceworks
• Request your free trial
• Give us feedback along with your fellow SpiceHeads
And say hi to
Matt & Jonathan
22. Thanks for your time
“…that means no SSDs to buy and no
additional hardware/shelves from your
NAS vendor”
Jfrapp
“Infinio may be a wise investment
to gain performance without
upgrading your hardware”
JackLR
“I have it on my 2014 budget wish
“Honestly, the product was amazing, from
list already”
concept through installation and removal
James5907
without taking your hosts or VM's offline”
RH434
28. Quote
“ There are few
products that are this
awesome and easy to
deploy.”
Eric Wright (@discoposse)
Editor's Notes
Notes from enterprisestorageforum.comhttp://www.enterprisestorageforum.com/sans/news/article.php/3858096/Server-Virtualization-Boosts-Data-Storage-Spending.htm
----- Meeting Notes (1/22/14 15:30) -----It looks really great when the train is standing still.
*** This is where the disconnect happens. Server / App owners often think in TBs, not in performance requirements. They leave that to you to guess.
IO bursts / application performance /
Secondary benefit of acceleration is offloadSecondary benefit of offload is accelerationWhich are you trying to do?Application acceleration will only work successfully if 90+ percent of the storage requests are hitting the cache.Storage offload is a holistic approach that reduces the latency via cache hits as well as reducing backend storage latency----- Meeting Notes (1/21/14 10:20) -----What if you need to get a bit more distance out of the same old storage. Two different problems to solve
Here’s what you can expect when you try Infinio. It’s fast and easy to try, and you’ll see results right away. Trying Infinio Accelerator is completely non-disruptive to your environment. No new hardware, no reboots, no lengthy POC.
Infinio makes it easy to see how your accelerated datastores are performing. The management console shows you improved response time, percentage of requests offloaded from NAS, and bandwidth saved with Infinio.We also show you how many disks you didn’t have to buy thanks to Infinio. Combine this with your own knowledge about how much you pay for storage to easily calculate your cost savings.Because Infinio already discovered your environment during the initial install, you can choose to accelerate additional datastores any time with the click of a button.
Source: http://blog.infinio.com/bid/329596/A-case-for-distributed-content-based-caching-on-DRAMLatency isn’t linearA = Bad, B = Good, C = screaming fastRelative investment for workload offloaded is higherComes at a premium Law of diminishing returns here “The takeaway from this figure is that where you reduce the load on the load/latency curve is actually more important than how much you reduce the load.”
To “test the waters” before fully deploying Infinio across his production environment, this mortgage company deployed to a single host (out of his four host production cluster) and accelerated a single datastore.He placed about 10 virtual machines on the datastore, including three production servers that are used through the day by his users. When latency spikes on the storage system reached upwards of 250ms, the blended latency his applications received with Infinio remained below 20ms.
Blended latency**** What’s the experience of the servers.VDI is another great workload for Infinio. In this lab environment with 100 desktops, we saw a greater than 90% storage offload. In this picture, the blue line represents read requests from the VDI workload to the NAS, and the blue filled-in area represents requests satisfied by the cache layer and therefore offloaded from central storage. NOTE: Maybe just show one of the two – otherwise it intuitively looks like before and after comparison.
NOTE: Tailor this slide to reflect actual, specific next steps for the individual customer.