Listen to the podcast. Find it on iTunes. Download the transcript. Sponsor: VMware.
Dana Gardner: Hi, this is Dana Gardner, Principal Analyst at Interarbor Solutions, and you're listening to BriefingsDirect.
Our latest podcast explores how one of the most costly and complex parts of any enterprises IT infrastructure -- storage -- is being dramatically improved by the accelerating adoption of software-defined storage.
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| Gardner |
But just as IT leaders seek to simultaneously tackle storage pain points of scalability, availability, agility, and cost -- software-defined storage is also providing significant strategic- and architectural-level benefits.
We're here now with two executives from VMware to unpack these efficiencies and examine the broad innovation behind the rush to exploit software-defined storage. Please join me now in welcoming our guests, Alberto Farronato, the Director of Product Marketing for Cloud Infrastructure Storage and Availability at VMware. Hello, Alberto.
Alberto Farronato: Hello, Dana. Glad to be here, thanks.
Gardner: We're also here with Christos Karamanolis, Chief Architect and a Principal Engineer in the Storage and Availability Engineering Organization at VMware. Welcome, Christos.
Christos Karamanolis: Thank you. Glad to be here.
Gardner: Alberto, we often focus on the speeds and feeds and the costs -- the hard elements -- when it comes to storage and modernization of storage. But what about the wider implications?
Software-defined storage is really changing something more fundamental than just data
and economics of data. How do you see the wider implications
of what’s happening now that software-defined storage is becoming more common?Farronato: Software-defined storage is certainly about addressing the cost issue of storage, but more importantly, as you said, it’s also about operations. In fact, the overarching goal that VMware has is to bring to storage the efficient operational model that we brought to compute with server virtualization. So we have a set of initiatives around improving storage on all levels, and building a parallel evolution of storage to what we did with compute. We're very excited about what’s coming.
Gardner: Christos, one of my favorite sayings is that "architecture is IT destiny." How you see software-defined storage at that architectural level? How does it change the game?
Concept of flexibility
Karamanolis: The fundamental architectural principle behind software-defined storage is the concept of flexibility. It's the idea of being able to adapt to different hardware resources, whether those are magnetic disks, flash storage, or other types of non-volatile memories in the future.
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| Karamanolis |
That’s one part of flexibility, but there is another very interesting part, which is a very acute problem for VMware customers today. Their operational complexity of provisioning storage for applications and virtual machines (VMs) has been one way of packaging applications.
Today, customers virtualize environments, but also in general have to provision physical storage containers. They have to anticipate their uses over time and have make an investment up front in resources that they'll need over a long period of time. So they create those logical unit number (LUN) file services, or whatever that is needed, for a period of time that spans anything from weeks to years.
Software-defined storage advocates a new model, where applications and VMs are provisioned at the time that the user needs them. The storage resources that they need are provisioned on-demand, exactly for what the application and the user needs -- nothing more or less.
The idea is that you do this in a way that is really intuitive to the end-user, in a way that reflects the abstractions that user understands -- applications, the data containers that the applications need, and the characteristics of the application workloads.
So those two aspects of flexibility are the two fundamental aspects of any software-defined storage.
Gardner: As we see this increased agility, flexibility, the on-demand nature of virtualization now coupled with software-defined storage, how are organizations benefiting at a business level? Is there a marker that we can point to that says, "This is actually changing things beyond just a technology sphere and into the business sphere?"
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| Farronato |
As Christos was saying, in the old model, you had to guess ahead of time what the applications will need, spend a lot of time trying to preconfigure and predetermine the various services levels, performance, availability and other things that our storage really would be required by your application, and so spend a lot of time setting things up, and then hopefully, down the line, consume it the way you thought you would.
Difficult change management
In many cases, this causes long provisioning cycles. It causes difficult change management after you provision the application. You find that you need to change things around, because either the business needs have changed or what you guessed was wrong. For example, customers have to face constant data migration.
With the policy-driven approach that Christos has just described -- with the ability to create these storage services on-the-fly for a policy approach -- you don’t have to do all that pre-provisioning and preconfiguring. As you create the VMs and specify the requirements, the system responds accordingly. When you have to change things, you just modify the policy and everything in the underlying infrastructure changes accordingly.
Responsiveness, in my opinion, is the one biggest benefit that IT will deliver to the business by shifting to software-defined storage. There are many others, but I want to focus on the most important one.
When you have to change things, you
just modify the policy and everything in the underlying infrastructure
will change accordingly.
Gardner: As we gain more agility, that prompts more use of software-defined storage, or in your case, Virtual SAN. With that acceleration of adoption, we begin to see more beneficial consequences, such as better manageability of data as a lifecycle, perhaps operations being more responsive to developers so that a DevOps benefit kicks in.
Can you explain what happens when software-defined storage becomes strategic at the applications level, perhaps with implications across the entire data lifecycle?
Karamanolis: One thing we already see, not only among VMware customers, but as a more generic trend, is that infrastructure administrators -- the guys who do the heavy-lifting in the data centers day in and day out, who manage much more beyond what is traditionally servers and applications -- are getting more and more into managing networks and data storage.
Find SDS technical insights and best practices on the VSAN storage blog.
Talking about changing models here, what we see is that tools have to be developed and software-defined storage is a key technology evolution behind that. These are tools for those administrators to manage all those resources that they need to make their day-to-day jobs happen.
Here, software-defined storage is playing a key role. With technology like Virtual SAN, we make the management of storage visible for people who are not necessarily experts in the esoterics of a certain vendor's hardware. It allows more IT professionals to specify the requirements of their applications.
Then, the software storage platform can apply those requirements on the fly to provision, configure, and dynamically monitor and enforce compliance for the policy and requirements that are specified for the applications. This is a major shift we see in the IT industry today, and it’s going to be accelerated by technologies like Virtual SAN.
Gardner: When you go to software-defined storage, you can get to policy level, automation, and intelligence when it comes to how you're executing on storage. How does software-defined storage simplify storage overall?
Distributed platform
Karamanolis: That's an interesting point, because if you think about this superficially, we’ll now go from a single, monolithic storage entity to a storage platform that is distributed, controlled by software, and can span tens or sometimes hundreds of physical nodes and/or entities. Isn’t complexity harder in the latter case?
The reality is that whether it's because of necessity or because we've learned a lot over the last 10 to 15 years about how to manage and control large distributed systems, that there is a parallel evolution of these ideas of how you manage your infrastructure, including the management of storage.
The user
has to be exposed to the consequences of the policy they choose. There
is a cost there for every one of those services.
As we alluded to already, the fundamental model here is that the end user, the IT professional that manages this infrastructure, expresses in a descriptive way, what they need for their applications in terms of CPU, memory, networking, and, in our case, storage.
What do I mean by descriptive? The IT professional does not need to understand all the internal details of the technologies or the hardware used at any point in time, and which may evolve over a period of time.
Instead, they express at a high level a set of requirements -- we call them policies -- that capture the requirements of the application. For example, in the case of storage, they specify the level of availability that is required for certain applications and performance goals, and they can also specify things like the data protection policies for certain data sets.
Of course, for all those things, nothing comes for free. So the user has to be exposed to the consequences of the policy that they choose. There is a cost there for every one of those services.
But the key point is that the software platform automatically configures the appropriate resources, whether they're arrayed across multiple physical devices, arrayed across the network, or whether they get asynchronous data as specified in a remote location in order to comply with certain disaster recovery (DR) policies.
All those things are done by the software, without the user having to worry about whether the storage underneath is highly available storage, in which case they need to be able to create only two copies of the data, or whether it is of some low-end hardware for which that would require three or four copies of the data. All those things are determined automatically by the platform.
This is the new mode. Perhaps I'm oversimplifying some of these problems, but the idea is that the user should really not have to know the specific hardware configurations of a disk array. If the requirements can not be met, it is because these new technologies are not incorporated into the storage platform.
Policy driven
Farronato: Virtual SAN is a completely policy-driven product, and we call it VM-centric or application-centric. The whole management paradigm for storage, when you use Virtual SAN, is predicated around the VM and the policies that you create and you assign to the VMs as you create your VMs, as you scale your environment.
One of the great things that you can achieve with Virtual SAN is providing differentiated service levels to individual VMs from a single data store. In the past, you had to create individual LUNs or volumes, assign data services like replication or RAID levels to each individual volume, and then map the application to them.
With Virtual SAN, you're simply going to have a capacity container that happens to be distributed across a number of nodes in your cluster -- and everything that happens from that point on is just dropping your VMs into this container. It automatically instantiates all the data services by virtue of having built-in intelligence that interprets the requirements of the policy.
One of the great things that you can
achieve with Virtual SAN is providing differentiated service levels to
individual VMs from a single data store.
That makes this system extremely simple and intuitive to use. In fact, one of the core design objectives of Virtual SAN is simplicity. If you look at a short description of the system, the radically simple hypervisor-converged storage means bringing that idea of eliminating the complexity of storage to the next level.
Gardner: We've talked about simplicity, policy driven, automation, and optimization. It seems to me that those add up very quickly to a fit-for-purpose approach to storage, so that we are not under-provisioning or over-provisioning, and that can lead to significant cost-savings.
So let’s translate this back to economics. Alberto, do you have any thoughts on how we lower total cost of ownership (TCO) through these SDS approaches of simplicity, optimization, policy driven, and intelligence?
Farronato: There are always two sides of the equation. There is a CAPEX and an OPEX component. Looking at how a product like Virtual SAN reduces CAPEX, there are several ways, but I can mention a couple of key components or drivers.
First, I'd call out the fact that it is an x86 server-based storage area network (SAN). So it leverages server-side components to deliver shared storage. By virtue of using server-side resources right off the bat there are significant savings that you can achieve through lower-cost hardware components. So the same hard drive or solid-state drive (SSD) that you deploy on a shared external storage array could be on the order of 80 percent cheaper.
The other aspect that I would call out that reduces the overall CAPEX cost is more along the lines of this, as you said, consume on-demand approach or, as we put it in many other terms, grow-as-you-go. With a scale-out model, you can start with a small deployment and a small upfront investment.
You can then progressively scale out as your environment grows by the much finer granularity that you would with a monolithic array. And as you scale, you scale both compute, but also IOPs and that goes hand in hand with often the number of VMs that you are running out of your cluster.
System growth
So the system grows with the size of your environment, rather than requiring you to buy a lot of resources upfront that many times remain under-utilized for a long time.
On the OPEX side, when things become simpler, it means that overall administration productivity increases. So we expect a trend where individual administrators will be able to manage a greater amount of capacity, and to do so in conjunction with management of the virtual infrastructure to achieve additional benefits.
Gardner: Christos, Virtual SAN has been in general availability now for several months, since March 2014, after being announced last year at VMworld 2013. Now that it’s in place and growing in the market, are there any unintended benefits or unintended consequences from that total-cost perspective in real-world day-in, day-out operations?
The system grows with the size of your
environment, rather than require you to buy a lot of resources upfront
that many times remain under-utilized for a long time.
I'm looking for ways in which a typical organization is seeing software-defined storage benefiting them culturally and organizationally in terms of skills, labor, and that sort of softer metric.
Karamanolis: That’s a very interesting point. Our technologists sometimes tend to overlook the cultural shifts that technology causes in the field. In the case of Virtual SAN, we see a lot of, as one customer put it, being empowered to manage their own storage, in the vertical that we are controlling in their IT organization, without having to depend on the centralized storage organization in this company.
Find SDS technical insights and best practices on the VSAN storage blog.
What we really see here is a shift in paradigm about how our customers use Virtual SAN today to enable them to have a much faster turnaround for trying new applications, new workloads, and getting them from test and dev into production without having to be constrained by the processes and the timelines that are imposed by a central storage IT organization.
This is a major achievement, and the major tool for VMware administrators in the field, which we believe is going to lead the way to a much wider adoption of Virtual SAN and software-defined storage in general.
Gardner: It sounds as if there's a simultaneous decentralized benefit here, similar to what we saw 30 years ago in manufacturing. Back in the day, you used to have an assembly line approach where one linear process would lead to another, but when you do simultaneous things, you can see a lot more productivity and innovation.
Do you think that there is a parallel between software modernization and manufacturing 30 years ago?
Managing storage
Karamanolis: Certainly we have a parallel here, taking into account the fact that the customers, the IT professionals that manage storage, understand the processes and the workflows without necessarily having to understand the internals of the technology that implement those workflows.
This is very much like being part of a production line and understanding the big picture, but without having to understand all the little details of every station of that production line. In both cases, you have a fundamental scalability benefit going down that path.
I say this this being fully aware that the real world is demanding. I understand that there may be situations where the IT administrator, whether a VMware admin or a storage expert, has to go and jump into the situation and troubleshoot something that is going wrong.
With this approach you have a more granular way to control the service
levels that you deliver to your customers.
He has to troubleshoot, for example, a performance issue, or understanding what's happening under the covers when the requirements specified don’t seem to match what they're getting.
And what we do is we deliver, together with Virtual SAN in an integrated fashion, sophisticated monitoring and reporting tools that help customers not only understand what's happening in their system, but also do an analysis of any situation end-to-end, all the way from the application, down to the VM, the hypervisor and the resources the hypervisor assigns to those VMs, and including the storage resources that are consumed at any point in time across the cluster.
Those are the tools that always have to come together with those simple models we're introducing, because you need to be able to handle those exceptional situations.
Gardner: How does this simplification and automation have a governance, risk, and compliance (GRC) benefit?
Farronato: With this approach you have a more granular way to control the service levels that you deliver to your customers, to your internal customers, and a more efficient way to do it by standardizing through polices rather than trying to standardize service levels over a category of hardware.
Self-service consumption
You can more easily keep track of what each individual application is receiving, whether it’s in compliance to that particular policy that you specified. You can also now enable self-service consumption more easily and effectively.
We have, as part of our Policy-Based Management Engine, APIs that will allow for integration with cloud automation frameworks, such as vCloud Automation Center for OpenStack, where end users will be able to consume a predefined category of service.
It will speed up the provisioning process, while at the same time, enabling IT to maintain that control and visibility that all the admins want to maintain over how the resources are consumed and allocated.
You can also now enable self-service consumption more easily
and effectively.
Gardner: I'm interested in hearing more examples about how this is being used. But before we go to that, there's one questions that I get a lot as an analyst.
Perhaps it's because people come from different parts of IT, or they have specializations, but people say, "We have software-defined storage, we have software-defined networking, a highly virtualized data center, and the goal is to become a software-defined data center, but I don't necessarily understand how these come together in what order. How do I go about that?"
Help us understand the role and impact of software-defined storage in the context of a larger software-defined data center.
Karamanolis: This is a challenging question, and I don’t know how far I can go in answering this. What we're trying to do at VMware is allow our customers to experience the various concepts of software-defined data center in a piecemeal fashion.
They can address the most acute of their problems, whether those are the traditional computer utilization questions, or more recently, whether that is a network scalability and flexibility question or a question of an easy-to-enter, low-cost storage platform. So, yes, we provide integration and fully support integration of all our software-defined aspects of the data center. That is in the three dimensions I mentioned.
We will soon be posting some demos of this kind of working with NSX, for example. But we do not prescribe that our IT professional has to use Virtual SAN with NSX, or vice versa, and only in that way. So Virtual SAN can be used on its own, with more traditional network configurations. NSX can replace those network infrastructure and it will work seamlessly with Virtual SAN.
We see different parts of adoption by different customers. Some of the bigger enterprises, including financials, being more sophisticated and perhaps more forward-looking, they are more aggressive with total software-defined data center approach. Other customers are a bit more cautious and apply software-defined principles in the main areas they are concerned with.
Value proposition
Farronato: When you look at a product like Virtual SAN, one interesting finding, after the first three months that the product has been available, is that the value proposition is really resonating across pretty much all customer segments, from the smaller SMBs, all the way up to the larger enterprise customers.
While it’s difficult to comment on the exact sequence as to how software-defined data center has been deployed, it is interesting to see that a technology like Virtual SAN is resonating pretty much across all the market segments, and so it expresses a value proposition that is broadly applicable.
Gardner: I suppose there are as many on-ramps to software-defined data center as there are enterprises. So it's interesting that it can be done at that custom level, based on actual implementation, but also have a strategic vision or a strategic architectural direction. So, it's future-proof as well as supporting legacy.
The value proposition is really resonating across pretty much all
customer segments, from the smaller SMBs, all the way up to the larger enterprise customers.
How about some examples? Do we have either use-case scenarios or an actual organization that we can look to and say that they have deployed these VSAN and they have benefited in certain ways and they are indicative of what others should expect?
Farronato: Let me give you some statistics and some interesting facts. We can look at some of the early examples where, in the last three months since the product has become available, we've found a significant success already in the marketplace, with a great start in terms of adoption from our customers.
Find SDS technical insights and best practices on the VSAN storage blog.
We already have more than 300 paying customers in just one quarter. That follows the great success of the public beta that ran through the fall and the early winter with several thousand customers testing and taking a look at the product.
We are finding that virtual desktop infrastructure (VDI) is the most popular use case for Virtual SAN right now. There are a number of reasons why Virtual SAN fits this model from the scale out, as well as the fact that the hyper-converged storage architecture is particularly suitable to address the storage issues of a VDI deployment.
DevOps, or if you want, preproduction environments, loosely defined as test dev, is another area. There are disaster recovery targets in combination with vSphere Replication and Site Recovery Manager. And some of the more aggressive customers are also starting to deploy it in production use cases.
In the last three months since the product has become
available, we've found a significant success already in the marketplace.
As I said, the 300 customers that we already have span the gamut in terms of size and names. We have large enterprises, banking, down to the smaller accounts and companies, including education or smaller SMBs.
There are a couple of interesting cases that we'll be showcasing at VMworld 2014 in late-August. If you look at the session list, they're already available as actual use cases presented by our customers themselves.
Adobe will be talking about their massive implementation of Virtual SAN. And for their our production environment, on their data analytics platform, there will be another interesting use case with TeleTech talking about how they have leveraged Cisco UCS to progress VDI deployments.
VDI equation
Gardner: I'd like to revisit the VDI equation for a moment, because one of the things that’s held people up is the impact on storage, and the costs associated with the storage to support VDI. But if you're able to bring down costs by 50 percent, in some cases, using software-defined storage. That radically changes the VDI equation. Isn’t that the case, Christos, where you can now say that you can do VDI cheaper than almost any other approach to a virtualized desktop?
Karamanolis: Absolutely, and the cost of storage is the main impediment in organizations to implement a VDI strategy. With Virtual SAN, as Alberto mentioned earlier, we provide a very compelling cost proposition, both in terms of the capacity of the storage, as well as the performance you gain out of the storage.
You get the needs, both capacity and performance of your VDI workloads
for a fraction of the cost you would pay for with a traditional disk
array storage.
Alberto already touched on the cost of the capacity, referring to the difference in prices one can get from server vendors and from the market, as opposed to single hardware being procured as part of a traditional disk array.
I'd like to touch on something that is an unsung hero of Virtual SAN and of VDI deployment especially, and that's performance. Virtual SAN, as should be clear by now, is a storage platform that is strongly integrated with our hypervisor. Specifically, the data path implementation and the distributed protocols that are implemented in Virtual SAN are part of the ESXi kernel.
That means that, because of that, we can actually achieve very high performance goals, while we minimize the CPU cycles that are consumed to serve those high I/Os per second. What that means, especially for VDI, is that we use a small slice of the CPU and memory of every single ESXi host to implement this distributed software-driven storage controller.
It doesn't affect all the VMs that run on the same ESXi host, who have already published extensive and detailed performance evaluations, where we compare VDI deployments only on Virtual SAN versus using an external disk array.
And even though Virtual SAN use percentage is cut to be 10 percent of local CPU and memory on those hosts, the consolidation ratio, the number of virtual desktops we run on those clusters, is virtually unaffected, while we get the full performance that is realized with an external, all-flash disk array. So this is the value of Virtual SAN in those environments.
Essentially, you get the needs, both capacity and performance of your VDI workloads, for a fraction of the cost you would pay for with a traditional disk array storage.
Gardner: We're only a few weeks from VMworld 2014 in San Francisco, and I know there's going to be a lot of interest in mobile and in desktop infrastructure for virtualized desktops and applications.
Do you think that we can make some sort of a determination about 2014? Maybe this is the year that we turn the corner on VDI, and that that is a bigger driver to some of these higher efficiencies. Any closing thoughts on the vision for software-defined data center and VDI and the timing with VMworld. Alberto?
Last barrier
Farronato: Certainly, one of the goals that we set ourselves for this Virtual SAN release, solving the VDI use case, eliminating probably the last barrier, and enabling a broader adoption of VDI across the enterprise, and we hope that will materialize. We're very excited about what the early findings show.
With respect to VMworld and some of the other things that we'll be talking about at the conference with respect to storage, we'll continue to explain our vision of software-defined storage, talk about the Virtual SAN momentum, some of the key initiatives that we are rolling out with our OEM partners around things such as Virtual SAN Ready Nodes.
We're going to talk about how we will extend the concept of policy management and dynamic composition of storage services to external storage, with a technology called Virtual Volumes.
There are many other things, and it's gearing up to be a very exciting VMworld Conference for storage-related issues.
Gardner: Last word to you, Christos. Do you have any thoughts about why 2014 is such a pivotal time in the software-defined storage evolution?
Karamanolis: I think that this is the year where the vision that we've been talking about, us and the industry at large, is going to become real in the eyes of some of the bigger, more conservative enterprise IT organizations.
With Virtual SAN from VMware, we're going to make a very strong case at VMworld that this is a real enterprise-class storage system that's applicable across a very wide range of use cases and customers.
With actual customers using the product in the field, I believe that it is going to be a strong evidence for the rest of the industry that software-defined storage is real, it is solving real world problems, and it is here to stay.
Together with opening up some of the management APIs that Virtual SAN uses in VMware products to third parties through this Virtual Volumes technology that Alberto mentioned, we'll also be initiating an industry-wide initiative of making, providing, and offering software-defined storage solutions beyond just VMware and the early companies, mostly startups so far, that have been adopting this model. It’s going to become a key industry direction.
I believe that it is
going to be a strong evidence for the rest of the industry that
software-defined storage is real, it is solving real world problems, and
it is here to stay.
Gardner: You've been listening to a sponsored BriefingsDirect podcast discussion on how one of the most costly and complex parts of any enterprise’s IT infrastructure, storage, is being dramatically changed by the accelerating adoption of software-defined storage.
And we've heard how IT leaders are simultaneously tackling storage pain points, such as scalability, availability, agility, and cost, while also gaining significant strategic and architectural level benefits through software-defined storage. Of course, probably the poster child application for that is VDI.
So a big thank you to our guests, Alberto Farronato, Director of Product Marketing for Cloud Infrastructure, Storage, and Availability at VMware. Thank you so much, Alberto.
Farronato: Thank you. It was great being with you.
Gardner: And we've been joined also by Christos Karamanolis, Chief Architect and a Principal Engineer in the Storage and Availability Engineering Organization at VMware. Thanks so much, Christos.
Karamanolis: Thank you. It was a pleasure talking with you.
Gardner: And also a big thank you to our audience for joining us once again on BriefingsDirect. This is Dana Gardner, Principal Analyst at Interarbor Solutions. Thanks for listening, and don't forget to come back next time.
Listen to the podcast. Find it on iTunes. Download the transcript. Sponsor: VMware.
Transcript of a BriefingsDirect podcast on the future of Virtual SAN and how it will have an impact on storage-hungry technologies, especially VDI. Copyright Interarbor Solutions, LLC, 2005-2014. All rights reserved.
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