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Why I’m Excited About The Coho DataStream 2.5 Release!


A lot of engineering work has gone into the Coho v2.5 software release. Add to that the fact that we now have 3 distinct hardware offerings and we’ve got a pretty extensive portfolio now. I’ve been involved with the testing on this release since the Alpha days, and I can honestly say it’s our best release yet. I could tell from the beginning, as the quality of the code was much more robust (vs. some of the releases from 6 months to 1 year ago) based on my initial testing.

Here are the top 3 reasons why I’m most excited about this release:

#1 – Flashfit Analytics (Hit Ratio Curve)


We showed a technical preview of this at VMworld 2014 as well as Storage Field Day 6 and I think it’s a really unique differentiator in the market right now. Our analytics are extremely detailed and can pinpoint the exact amount of flash that will benefit workloads on a per-workload basis. We are able to see so much detail about the flash usage that we could make an educated guess about the application running in the workload. A bit more work is required before you do this, but the fact that we can says a lot about the level of detail captured here. The idea with Flashfit is that we give a customer the data to choose whether they have sufficient amounts of flash for their current working set, need to add more capacity (hybrid node) or need to add more performance (all-flash node). This will work it’s way into QoS and storage profiles as we move forward with development of the feature. When you combine this with the ability to choose an all-flash or hybrid node, we give the customer unparalleled economics and TCO/ROI.

#2 – Data Age


The Data Age view is something that we also previewed an early version of a while back. It’s a bit more abstract, but interesting in that we are able to show a cluster-wide view of how old the data is. You’ll find that this graph gives more supporting evidence around the the flash working set on the system and proves that in all but the busiest of customer environments, the amount of flash that’s accessed frequently is a mere fraction of the total flash on the system. In other words, we give you real-time supporting evidence showing that: 1) You probably don’t require an all-flash array 2) If you decided to go with an all-flash option, you’re paying a lot of money for a very, very small portion of your hot data. All of the rest would be better served by higher density mediums.

#3 – Scalability Improvements

When I first started at Coho, approaching a year-and-a-half ago now, we admittedly had some challenges around scalability. This new release introduces an improved global namespace that allows for orders of magnitude more objects in the cluster and thus many, many more VMs (workloads). I’m happy to have been a small part of reporting my findings and getting this prioritized and fixed. I can honestly say that we are truly living up to the promise of a scale-out storage system.

Well, that’s it for now. I’m curious what other features of DataStream OS v2.5 that you’re most excited about! Respond in the comments.

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