VAST Data – The Best Is Yet To Come

Disclaimer: I recently attended Storage Field Day 20.  My flights, accommodation and other expenses were paid for by Tech Field Day. There is no requirement for me to blog about any of the content presented and I am not compensated in any way for my time at the event.  Some materials presented were discussed under NDA and don’t form part of my blog posts, but could influence future discussions.

VAST Data recently presented at Storage Field Day 20. You can see videos of their presentation here, and download my rough notes from here.

 

Feature Progress

VAST Data has come up with a pretty cool solution, and it continues to evolve as time passes (funny how that works). You can see that a whole stack of features has been added to the platform since the 1.0 release in November 2018.

[image courtesy of VAST Data]

The Similarity

One feature that caught my eye was the numbers that VAST Data presented that had been observed with the similarity-based data reduction capability (introduced in 1.2). In the picture below you’ll see a lot of 3:1 and 2:1. It doesn’t seem like that great a ratio, but the data that’s being worked on here is pre-compressed. My experience with applying data reduction techniques to pre-compressed and / or pre-deduplicated data is that it’s usually tough to get anything decent out of it, so I think this is pretty neat.

[image courtesy of VAST Data]

Snap to S3

Another cool feature (added in 3.0) is snap to cloud / S3. This is one of those features where you think, ha, I hadn’t been looking for that specifically, but it does look kind of cool.

[image courtesy of VAST Data]

Replicate snaps to object store

  • Independent schedule, retention

Presented as .remote folder

  • Self service restore (<30 days .snapshots, >30 days .remote)

Large objects

  • Data and metadata
  • Compressed

ReaderVM

  • Presents read-only .remote
  • .ovf, AMI
  • Parallel for bandwidth

 

Thoughts and Further Reading

You’ll notice I haven’t written a lot in this article. This isn’t because I don’t think VAST Data is intriguing, or that I don’t like what it can do. Rather, I think you’d be better served checking out the Storage Field Day presentations yourself (I recommend the presentations from both Storage Field Day 18 and Storage Field Day 20). You can also read my summary of the tech from Storage Field Day 18 here, but obviously things have progressed significantly since then.

As Howard Marks pointed out in his presentation, this is not the first rodeo for many of the folks involved in VAST Data’s rapid development. You can see from the number of features being added in a short time that they’re keen on making more progress and meeting the needs of the market. But it still takes time. SMB failover is cool, but some people might be more interested in seeing vSphere support sooner rather than later. I have no insight into the roadmap, but based on what I’ve seen over the last 20ish months, there’s been some great stuff forthcoming, and definitely more cool things to come. Coupled with the fact that this thing relies heavily on QLC and you’ve got a compelling platform at potentially a super interesting price point upon which you can do a bunch of interesting things, storage-wise. I’m looking forward to seeing what’s in store over the next 20 months.

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