SAP Runs VMware to Provision Virtual Machines to Support Complex Training Courses

Transcript of a BriefingsDirect podcast on how SAP uses VMware products to implement a private cloud that smooths out educational apps runtime requirements.

Listen to the podcast. Find it on iTunes/iPod. Download the transcript. Sponsor: VMware.

Dana Gardner: Hi, this is Dana Gardner, Principal Analyst at Interarbor Solutions, and you’re listening to BriefingsDirect.

Today, we present a sponsored podcast discussion on how worldwide enterprise applications leader SAP has designed and implemented a private cloud infrastructure to support an internal consulting and training program.

By standardizing on a VMware cloud platform, SAP has been able to slash provisioning times for multiple instances of its flagship application suite, as well as set the stage for wider adoption of cloud models. [Disclosure: VMware is a sponsor of Briefings Direct podcasts.]

Here to tell us about the technical and productivity benefits of private clouds, is Dr. Wolfgang Krips, the Senior Vice President of Global Infrastructure at SAP in Walldorf, Germany. Welcome to BriefingsDirect, Dr. Krips.

Krips: Thank you, Dana.

Gardner: Tell me about this particular use case. You've needed to provision a lot of your enterprise resource planning (ERP) applications and you've got people coming into learn about using them and implementing them. What is it about private cloud that made the most sense for you in this particular instance?

Krips: Expanding a bit on the use case, there is a specific challenge there. In the training business, people book their courses, and we know only on Friday evening who is attending on the course on Monday. So we have only a very short amount of time over the weekend to set up the systems. That was one of the big challenges that we had to solve.

The second challenge is that, at the same time, these systems become more and more mission critical. Customers are saying, "If the system isn't available during the course, I'm not willing to pay." Maybe the customer will rebook the course. Sometimes he doesn’t. That means that if the systems aren't available, we have an immediate revenue impact.

You can imagine that if we have to set up a couple of hundred, or potentially a couple of thousand, systems over the weekend, we need a high degree of automation to do that. In the past, we had homegrown scripts, and there was a lot of copying and stuff like that going on. We were looking into other technologies and opportunities to make life easier for us.

A couple of challenges were that the scripts and the automation that we had before were dependent on the specific hardware that we used, and we can't use the same hardware for each of the courses. We have different hardware platforms and we had to adopt all the scripts to various hardware platforms.

When we virtualized and used virtualization technology, we could make use of linked cloning technology, which allowed us to set up the systems much faster than the original copying that we did.

The second thing was that by introducing the virtualization layer, we became almost hardware independent, and that cut the effort in constructing or doing the specific automation significantly.

Gardner: When you decided that virtualization and private cloud would be the right answer, what did you need to do? What did you need to put in place and how difficult was it?

The important piece

Krips: Luckily, we already had some experience. The big thing in setting up the cloud is not getting, say, vSphere in place and the basic virtualization technology. It's the administration and making it available in self-service or the automation of the provisioning. That is the important piece, as most would have guessed.

We had some experience with the Lifecycle Manager and the Lab Manager before. So we said at that time because we did this last year, we set up a Lab Manager installation and worked with that to realize this kind of private cloud.

Gardner: For our listeners’ benefit, what sort of scale are we talking about here? How many virtual machines (VMs) did you have or do you have running?

Krips: In that specific cloud, typically we have between a couple of hundred and a couple of thousand VMs running. Overall, at SAP we're running more than 20,000 VMs. And, in fact, I have about 25 private cloud installations.

Gardner: What is it about this particular private-cloud installation that ended up being a proof of concept for you. Was this something that offered insights into other instances where clouds made more sense?

This cloud also gave us some hints on where we have to redesign the workloads so that they become more cloud usable.

Krips: One of the reasons ... is the kind of criticality that we have here. As I mentioned, this cloud has to work. If this goes down, it’s not like some kind of irrelevant test system is down -- or test system pool -- and we can take up another one. Potentially a lot of training courses are not happening. With respect to mission criticality, this cloud was essential.

The other thing that was very interesting is that, as I mentioned before, we have to replicate a lot of systems from a golden master image. The technology that one typically uses for that is network fencing. So we started off with courses that used network fencing.

One of the issues that we ran into is that there are a couple of courses where you can’t use network fencing, because the systems need to connect to common back-end systems. This cloud also gave us some hints on where we have to redesign the workloads so that they become more cloud usable. That’s why I think this cloud implementation was very specific and very important for us.

Gardner: Are there specific payoffs? I suppose there are in just the reduced time for provisioning and the ability to then automate and to use that common infrastructure. Any other thoughts about what the payoffs are when you can do a cloud like this?

Krips: The payoffs are that in the past we had only the weekend as a window to set this all up. A couple of things had us scratching our heads. One thing was, the amount of time that we needed with our traditional copying scripts was significant. We used almost the full weekend to set up the courses. There was really very little room if we needed to fix something. Now, with linked cloning, that time was cut significantly.

Pay for itself

The other thing was that the effort of maintaining the automation script was reduced, and I could deploy a significant amount of the resources to work on more innovative parts like redesigning the workloads and thinking about what could be next steps in automation. If you look at it, with all the tools we utilized, the “cloud implementation” will more or less pay for itself.

Gardner: We often hear similar requirements being applied to a test and development environment. Again, bursting is essential, management and automation can be of great benefit, and it’s mission critical. These are developers are making products. So does that make sense to you, and are some of your other clouds involved with the test and development side of the business as well?

Krips: As I mentioned before, we have 25 private-cloud installations, and in fact, most of them are with development. We also have cloud installations in the demo area. So if sales people are providing demos, there are certain landscapes or resource pools where we are instantiating demo systems.

Most of the VMs and the cloud resourcing pools are in the development area, and as you mentioned, there are a couple of things that are important to that. One is, as you said, that there is a burst demand, when people are doing testing, quality assurance, and things like that. Almost more important is that SAP wants to shorten the innovation cycles.

Internally, we've moved internally to an HR development model, where every six weeks development provides potentially a shippable release. It doesn’t mean that the release gets shipped, but we’re running through the whole process of developing something, testing it, and validating it. There is a demonstrable release available every six weeks.

Moving to the private cloud and doing this in self-service, today we can provision development systems within hours.

In the past, with a traditional model, if we were provisioning physical hardware, it took us about 30 days or so to provision a development system. Now, if you think about a development cycle of six weeks and you’re taking about nearly the same amount of time for provisioning the development system, you’ll see that there is a bit of a mismatch.

Moving to the private cloud and doing this in self-service, today we can provision development systems within hours.

Gardner: That’s what I hear from a number of organizations, and it's very impressive. When you had a choice of different suppliers, vendors, and professional services organizations, was there everything that led you specifically to VMware, and how has that worked out?

Krips: I can give you a fairly straightforward answer. At the time we started working with private cloud and private-cloud installations, VMware was the most advanced provider of that technology, and I'd argue that it is still today.

Gardner: How about security and management benefits? It seems to me that security might not be quite the same issue when it comes to the training instances, but it would be with development, having that source code in control, particularly if you’re doing distributed development. Are there aspects of the private-cloud benefits for security management that are attractive for you?

Very reluctant

Krips: Certainly. The whole topic of cloud, in general, and the notion that workloads can run anywhere in the rut, as it would be in a public cloud, it's certainly something where I personally would be very reluctant when it comes to critical development systems and the intellectual property (IP) that’s on there.

From our perspective, we wanted to have the advantages of cloud with respect to flexibility, provisioning speed, but we didn’t want to have more security headaches than we already had. That’s why we said, "Let's get our arms first around a private cloud."

Even today, our cloud strategy is hybrid cloud strategy, where we’re implementing certain workloads in the private clouds, and there would be certain other payloads that we will potentially be willing to put into a public cloud. Still, development systems would be in 99 percent off the cases on the list where we would be saying they go only in the private cloud.

Gardner: Is there something about a standardized approach to your cloud stack that makes that hybrid potential, when you’re ready to do it, when it's the right payload, something that you'll be pursuing? How does the infrastructure affect your decision about moving to hybrid?

Krips: That’s one of our biggest problems that we're having. Clearly, if one had a standard cloud interface like a vCloud interface, and it was the industry norm, that would be extremely helpful. The issue is that, as you can imagine, there are a couple of workloads that we also want to test in some other well known cloud rents. I'm having a bit of a headache over how to connect to multiple clouds.

For us, it's very important that we separate the user data and the desktop from the device.

That topic is still one of the things that we haven’t finally resolved. Because we have to choose. We basically have to unbolt one external cloud after the other, and everything is still an individual integration effort. Now, if a couple of interesting providers had a standardized cloud interface, it would be very nice for me.

Gardner: This is the last subject for today -- and I appreciate your time and input. A lot of folks that I speak to, when they’ve gained some experience with private cloud and hybrid cloud, start to think about other ways that they can exploit it, that will bring them productivity and technical benefits.

And moving more to the mobile tier, looking at the client, and thinking about delivering not only applications as services, or as terminal services, but thinking about delivering the entire desktop experience, more and more of it as a cloud service, seems to be appealing.

Any thoughts about what your experience and benefits with cloud might mean for your future vision around clients?

Krips: Dana, the thing is pretty clear. If you look at the strategy that SAP pursues, mobility is an integral part. We also think that not only that business process mobility is more important, but what we’re also seeing, and I mentioned that before, with the agility and development. So for instance, there are people who are working every couple of months in new teams. For us, it's very important that we separate the user data and the desktop from the device. We’re definitely pushing very strongly into the topic of desktop virtualization (VDI).

SaaS application

The big challenge that we’re currently having is that when you’re moving to VDI, you take everything that’s on the user's desktop today, then you make out of that more or less a software-as-a-service (SaaS) application. As you can imagine, if you’re doing that to development, and they are doing some complex development for the user interfaces or stuff like that, this puts certain challenges on the latency that you can have to the data center or the processing power that you need to have in the back-end.

From our side, we’re interested in technologies similar to that view, and where you can check out machines and still run on a VDI client, but leverage the administrative and provisioning advantages that you have through the cloud provisioning for virtual desktops. So it's a pretty interesting challenge.

We understand what kind of benefits we’re getting from the cloud operations, as I said, the center provisioning, application patching, improved license management, there are a lot of things that are very, very important to us and that we want to leverage.

On the other hand, we have to solve the issue that we’re not blowing the business case, because the processing power and the storage that you have at the end point is relatively cheap. If you move that one-to-one to the back end, we would have difficulties with the business case. That’s why we were so interested in VDI technologies that allowed us checking out an offline mode. That would allow us also to take care of all of our mobile users.

Gardner: If the past is any indication, the costs of computing go down. When there is more volume involved, perhaps with moving to VDI, we should see some significant price improvement there as well. So we’ll have to see on that?

There are a lot of things that are very, very important to us and that we want to leverage.

Krips: Yeah. But we’re confident that we can get the business case to work. Particularly for us, the VDI, the benefits, are very much in the kind of centralized provisioning. Just to give you an example, imagine how easy it would be if you’re doing desktop virtualization, to move from Windows 7 to Windows 8. You could basically flip a switch.

Gardner: Wouldn’t that be nice?

Krips: Yup.

Gardner: Thank you so much. We’ve been talking about how worldwide enterprise applications leader SAP has designed and implemented a VMware private cloud infrastructure to support an internal consulting and training program, and how that has led them to even bigger and better concepts around cloud and the business and technical benefits therein.

I'd like to thank our guest. We’ve been here with Dr. Wolfgang Krips, the Senior Vice President of Global Infrastructure at SAP.

Thank you so much, Dr. Krips.

Krips: Thank you, Dana.

Gardner: This is Dana Gardner, Principal Analyst at Interarbor Solutions. Thanks to our audience, and come back next time.

Listen to the podcast. Find it on iTunes/iPod. Download the transcript. Sponsor: VMware.

Transcript of a BriefingsDirect podcast on how SAP uses VMware products to implement a private cloud that smooths out educational apps runtime requirements. Copyright Interarbor Solutions, LLC, 2005-2011. All rights reserved.

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Stone Bond's Metadata Virtualization and Orchestration Improves Enterprise Data Integration Response Time and ROI

Transcript of a BriefingsDirect podcast on how businesses can better manage and exploit their exploding data via new technologies that provide meta-data-based data integration and management.

Listen to the podcast. Find it on iTunes/iPod. Download the transcript. Sponsor: Stone Bond Technologies.

Dana Gardner: Hi, this is Dana Gardner, Principal Analyst at Interarbor Solutions, and you're listening to BriefingsDirect.

Today we present a sponsored podcast discussion on the need to make sense of the deluge and complexity of the data and information that is swirling in and around modern enterprises. Most large organizations today are able to identify, classify, and exploit only a small portion of the total data and information within their systems and processes.

Perhaps half of those enterprises actually have a strategy for improving on this fact. But business leaders are now recognizing that managing and exploiting information is a core business competency that will increasingly determine their overall success. That means broader solutions to data distress are being called for.

We'll now then look at how metadata-driven data virtualization and improved orchestration can help provide the inclusivity and scale to accomplish far better data management. Such access then leads to improved integration of all information into an approachable resource for actionable business activities.

With us now to help better understand these issues -- and the market for solutions to these problems -- are our guests, Noel Yuhanna, Principal Analyst at Forrester Research. Welcome to BriefingsDirect, Noel.

Noel Yuhanna: Thanks.

Gardner: We're also here with Todd Brinegar, Senior Vice President for Sales and Marketing at Stone Bond Technologies. Welcome, Todd. [Disclosure: Stone Bond is a sponsor of BriefingsDirect podcasts.]

Todd Brinegar: Dana, how are you? Noel, great to hear you, too.

Gardner: Welcome to you both. Let me start with you, Noel. It's been said often, but it’s still hard to overstate, that the size and rate of growth of data and information is just overwhelming the business world. Why should we be concerned about this? It's been going on for a while. Why is it at a critical stage now to change how we're addressing these issues?

Yuhanna: Well, data has been growing significantly over the last few years because of different application deployments, different devices, such as mobile devices, and different environments, such as globalization. These are obviously creating a bigger need for integration.

We have customers who have 55,000 databases, and they plan to double this in the next three to four years. Imagine trying to manage 55,000 databases. It’s a nightmare. In fact, they don’t even know what the count is actually.

Then, they're dealing with unstructured data, which is more than 75 percent of the data. It’s a huge challenge trying to manage this unstructured data. Forget about the intrusions and the hackers trying to break in. You can’t even manage that data.

Then, obviously, we have challenges of heterogeneous data sources, structured, unstructured, semi-structured. Then, we have different database types, and then, data is obviously duplicated quite a lot as well. These are definitely bigger challenges than we've ever seen.

Different data sources

Gardner: We're not just dealing with an increase in data, but we have all these different data sources. We're still dealing with mainframes. We're still adding on new types of data from mobile devices and sensors. It has become overwhelming.

I hear many times people talking about big data, and that big data is one of the top trends in IT. It seems to me that you can’t just deal with big data. You have to deal with the right data. It's about picking and choosing the correct data that will bring value to the process, to the analysis, or whatever it is you're trying to accomplish.

So Noel, again, to you, what’s the difference between big data and right data?

Yuhanna: It’s like GIGO, Garbage In, Garbage Out. A lot of times, organizations that deal with data don’t know what data they're dealing with. They don’t know that it’s valuable data in the organization. The big challenge is how to deal with this data.

The other thing is making business sense of this data. That's a very important point. And right data is important. I know a lot of organizations think, "Well, we have big data, but then we want to just aggregate the data and generate reports." But are these reports valuable? Fifty percent of times they're not, and they've just burned away 1,000 CPU cycles for this big data.

That's where there's a huge opportunity for organizations that are dealing with such big data. First of all, you need to understand what this big data means, and ask are you going to be utilizing it. Throwing something into the big data framework is useless and pointless, unless you know the data.

Throwing something into the big data framework is useless and pointless, unless you know the data.

Gardner: Todd, reacting to what Noel just said about this very impressive problem, it seems that the old approaches, the old architectures, the connectors and the middleware, aren't going to be up to the task. Why do we have to think differently then about a solution set when we face this deluge, and also getting to the right data rather than just all the data regardless of its value?

Brinegar: Noel is 100 percent correct, and it is all about the right data, not just a lot of data. It’s interesting. We have clients that have a multiplicity of databases. Some they don’t even know about or no longer use, but there is relevant data in there.

Dana, when you were talking about the ability to attach to mainframes, all legacy systems, as well as incorporated into today’s environments, that's really a big challenge for a lot of integration solutions and a lot of companies.

So the ability to come in, attach, and get the right data and make that data actionable and make it matter to a company is really key and critical today. And being able to do that with the lowest cost of ownership in the market and the highest time to value equation -- so that the companies aren’t creating a huge amount of tech on top of the tech that they already have to get at this right data -- that’s really the key critical part.

Gardner: Noel, thinking about how to do this differently, I remember it didn’t seem that long ago when the solution to data integration was to create one big, honking database and try to put everything in there. Then that's what you'd use to crunch it and do your queries. That clearly was not going to work then, and it’s certainly not going to work now.

So what’s this notion about orchestrating, metadata, and data virtualization? Why are some of these architectural approaches being sought out, especially when we start thinking about the real-time issues?

Holistic data set

Yuhanna: You have to look at the holistic data set. Today, most organizations or business users want to look at the complete data sets in terms of how to make business decisions. Typically, what they're seeing is that data has always been in silos, in different repositories, and different data segregations. They did try to bring this all together like in a warehouse trying to deliver this value.

But then the volumes of data, the real-time data needs are definitely a big challenge. Warehouses weren't meant to be real-time. They were able to handle data, but not in real time.

So this whole data segregation delivers a yet even better superior framework to deliver real-time data and the right data to consumers, to processes, to applications, whether it’s structured data, semi-structured, unstructured data, all coming together from different sources -- not only on-premise, also off-premise, such as partner's data and marketplace data coming together and providing that framework toward different elements.

We talked about this many years ago and called it the information fabric, which is basically data virtualization that delivers this whole segregation of data in that layer, so that it could be consumed by different applications as a service, and this is all delivered in a real-time manner.

Now, an important point here is that it's not just read-only, but you can also write back through this virtualized layer, so that it can get back at the data.

We talked about this many years ago and called it the information fabric, which is basically data virtualization that delivers this whole segregation of data in that layer.

Definitely, things have changed with this new framework and there are solutions out there that offer this whole framework, not only just accessing data and integrating data, but they also have frameworks, which includes metadata, security, integration, transformation.

Gardner: How about that Todd Brinegar? When we think about a fabric, when we think about trying to access data, regardless, and get it closer to real time, what are the architectural approaches that you think are working better? What are you putting in place yourselves to try to solve this issue?

Brinegar: It's a great lead in from Noel, because this is exactly the fabric and the framework that Enterprise Enabler, Stone Bond’s integration technology, is built on.

What we've done is look at it from a different approach than traditional integration. Instead of taking old technologies and modifying those technologies linearly to effect an integration and bring that data into a staging database and then do a transformation and then massage it, we've looked at it three-dimensionally.

We attach with our AppComms, which are our connectors, to the metadata layer of an application. We don’t agent within the application. We get the at data of the data. We separate that data from multiple sources, unlimited sources, and orchestrate that to a view that a client has. It could be Salesforce.com, SharePoint, a portal, Excel spreadsheets, or anything that they're used to consuming that data in.

Actionable data

Gardner: Just to be clear, Todd, your architecture and solution approach is not only for access for analysis, for business intelligence (BI), for dashboards and insights -- but this is also for real-time running application sets. This is actionable data?

Brinegar: Absolutely. With Enterprise Enabler, we're not only a data-integration tool, we're an applications-integration tool. So we are EAI/ETL. We cover that full spectrum of integration. And as you said, it is the real-time solution, the ability to access and act on that information in real time.

Gardner: We described why this is a problem and why it's getting worse. We've looked at one approach to ameliorating these issues. But I'm interested in what you get if you do this right.

Let's go back to Noel. For some of the companies that you work with at Forrester, that you are familiar with, the enterprises that are looking to really differentiate themselves, when they get a better grasp of their data, when they can make it actionable, when they can pull it together from a variety of sources, old and new, on-premises and off-premises, how impactful is this? What sort of benefits are they able to gain?

Yuhanna: The good thing about data virtualization is that it's not just a single benefit. There are many, many benefits of data virtualization, and there are customers who are doing real-time BI, business with data virtualization. As I mentioned, there are drawbacks and limitations in some of the older approaches, technologies, and architectures we've used for decades.

Real-time BI is definitely one of the big drivers for data virtualization, but also having a single version of the truth.

We want real-time BI, in the sense that you can’t just wait a day for this report to show up. You need this every hour or every minute. So these are important decisions you've got to make for that.

Real-time BI is definitely one of the big drivers for data virtualization, but also having a single version of the truth. As you know, more than 30 percent of data is duplicated in an organization. That’s a very conservative number. Many people don’t know how much data is duplicated.

And you have different duplication of data -- customer data, product data, or internal data. There are many different types of data that is duplicated. Then the data has a quality issue, because you may change customer data in one of the applications that may touch one database, but the other database is not synchronized as such. What you get is inconsistent data, and customers and other business users don’t really value the data actually anymore.

A single version of the truth is a very important deliverable from solutions, which has never been done before, unless you have one single database actually, but most organizations have multiple databases.

Also it's creating this whole dashboard. You want to get data from different sources, be able to present business value to the consumers, to the business users, what have you, and the other cases like enterprise search, you're able to search data very quickly.

Simpler compliance

Imagine if an auditor walks into an organization, they want to look at data for a particular event, or an activity, or a customer, searching across a thousand resources. It could be a nightmare. The compliance initiative through data virtualization becomes a lot simpler.

Then, you're doing things like content-management applications, which need to be delivered in federation and integrate data from many sources to present more valuable information. Also, smart phones and mobile devices want data from different systems so that they all tie together to their consumers, to the business users, effectively.

So data virtualization has quite a strong value proposition and, typically, organizations get the return on investment (ROI) within six months or less with data virtualization.

Gardner: Todd, at Stone Bond, when you look to some of your customers, what are some of the salient paybacks that they're looking for? Is there some low-hanging fruit, for example? It sounds from what Noel said that there are going to be payoffs in areas you might not even have anticipated, but what are the drivers? What are the ones that are making people face the facts when it comes to data virtualization and get going with it?

Brinegar: With Stone Bond and our technology Enterprise Enabler the ability to virtualize, federate, orchestrate, all in real-time is a huge value. The biggest thing is time to value though. How quickly can they get the software configured and operational within their enterprise? That is really the key that is driving a lot of our clients’ actions.

When we do an installation, a client can be up and operational doing their first integration transformations within the first day.

When we do an installation, a client can be up and operational doing their first integration transformations within the first day. That’s a huge time-to-value benefit for that client. Then, they can be fully operational with complex integration in under three weeks. That's really astounding in the marketplace.

I have one client that on one single project calculated $1.5 million cost savings in personnel in the first year. That’s not even taking into account a technology that they may be displacing by putting in Enterprise Enabler. Those are huge components.

Gardner: How about some examples Todd, use cases? I know sometimes you can name companies and sometimes you can't, but if you do have some names that you can share about what the data virtualization value proposition is doing for them, great.

Brinegar: HP is a great example. HP runs Enterprise Enabler in their supply chain for their Enterprise Server Group. That group provides data to all the suppliers within the Enterprise Server Group on an on-time basis.

They are able to build on demand and take care of their financials in the manufacturing of the servers much more efficiently than they ever have. They were experiencing, I believe, a 10-times return on investment within the first year. That’s a huge cost benefit for that organization. It's really kept them a great client of ours.

We do quite a bit of work in the oil business and the oil-field services business, and each one of our clients has experienced a faster ROI and a lower total cost of ownership (TCO).

We just announced recently that most of our clients experienced a 300 percent ROI in the first year that they implemented Enterprise Enabler. CenterPoint Energy is a large client of Stone Bond and they use us for their strategic transformation of how they're handling their data.

How to begin

Gardner: Let’s go back to Noel. When it comes to getting started, because this is such a big problem, many times it’s trying to boil the ocean, because of all the different data types, the legacy involvement. Do you have a sense of where companies that are successful at doing this have begun?

Is there a pattern, is there a methodology that helps them get moving toward some of these returns that Todd is talking about, that data virtualization is getting these assets into the hands of people who can work with them? Any thoughts about where you get started, where you begin your journey?

Yuhanna: One is taking an issue, like an application-specific strategy, and building blocks on that, or maybe just going out and looking at an enterprise-wide strategy. For the enterprise-wide strategy, I know that some of the large organizations in the financial services, retail, and sales force are starting to embark on looking at all of these data in a more holistic manner:

"I've got customer data that is all over the place. I need to make it more consistent. I need to make it more real-time." Those are the things that I'm dealing with, and I think those are going to be seen more in the coming years.

Obviously, you can’t boil the ocean, but I think you want to start with some data which becomes more valuable, and this comes back to the point that you talked about as the right data. Start with the right data and look at those data points that are being shared and consumed by many users, business users, and that’s going to be valuable for the business itself.

I would definitely recommend looking at newer technologies, because they definitely are faster. They do a lot of caching. They do a lot of faster integration.

The important thing is also that you're building this block on the solution. You can definitely leverage some existing technologies, if you wanted to. I would definitely recommend now looking at newer technologies, because they definitely are faster. They do a lot of caching. They do a lot of faster integration.

As Todd was mentioning, quicker ROI is important. You don’t have to wait for a year trying to integrate data. So I think those are critical for organizations going forward. But you also have to look at security, availability, and performance. All of these are critical, when you're making decisions about what your architecture is going look like.

Gardner: Noel, you do a lot of research at Forrester. Are there any reports, white papers, or studies that you could point to that would help people as they are starting to sort through this to decide where to start, where the right data might be?

Yuhanna: We've actually done extensive research over the last four or five years on this topic. If you look at Information Fabric, this is a reference architecture we've told customers to use when you're building a data virtualization yourself. You can build the data virtualization yourself, but obviously it will take a couple of years to build. It’s a bit complex to build, and I think that's why solutions are better at that.

But Information Fabric reports are there. Also, information as a service is something that we've written about -- best practices, use cases, and also vendor solutions around this topic of discussion. So information as a service is something that customers could look at and gain understanding.

Case studies

We have use cases or case studies that talk about the different types of deployments, whether it’s a real-time BI implementations or doing single version of fraud detection, or any other different types of environments they're doing. So we definitely have case studies as well.

There are case studies, reference architectures, and even product surveys, which talk about all of these technologies and solutions.

Gardner: Todd, how about at Stone Bond? Do you have some white papers or research, reports that you can point to in order to help people sort through this and perhaps get a better sense of where your technologies are relevant and what your value is?

Brinegar: We do. On our website, stonebond.com, we have our CTO's blogs, Pamela Szabó's blog, which have a great perspective of data, big data, and the changing face of data usage and virtualization.

I wish everybody would explore the different opportunities and the different technologies that there are for integration and really determine not what you need today -- that’s important -- but what will you need tomorrow. What’s the tech that you're going to carry forward, and how much is the TCO going to be as you move forward, and really make that value decision past that one specific project, because you're going to live with the solution for a long time.

I wish everybody would explore the different opportunities and the different technologies that there are for integration and really determine not what you need today . . . but what will you need tomorrow.

Gardner: Very good. We've been listening to a sponsored podcast discussion on the need to make sense of the deluge and the complexity of data and information swirling in and around modern enterprises. We've also looked at how better data access can lead to improved integration of all information into approachable resources for actual business activities and intelligence.

I want to thank our guests, Noel Yuhanna, Principal Analyst at Forrester Research. Thanks so much, Noel.

Yuhanna: Thanks a lot.

Gardner: And also Todd Brinegar, the Senior Vice President of Sales and Marketing at Stone Bond Technologies. Thanks to you too, Todd.

Brinegar: Much appreciated. Thank you very much, Dana. Thank you very much, Noel.

Gardner: This is Dana Gardner, Principal Analyst at Interarbor Solutions. Thanks again for listening, and come back next time.

Listen to the podcast. Find it on iTunes/iPod. Download the transcript. Sponsor: Stone Bond Technologies.

Transcript of a BriefingsDirect podcast on how businesses can better manage and exploit their exploding data via new technologies that provide meta-data-based data integration and management. Copyright Interarbor Solutions, LLC, 2005-2011. All rights reserved.

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• Pamela Szabó's Blog
• How to Deal with Data Sprawl? Could a Sticky Policy Standard Help?
• Tips for Managing System and Data Sprawl Issues
• Stone Bond Keeps Focus on Data Integration for the Masses

Case Study: How SEGA Europe Uses VMware to Standardize Cloud Environment for Globally Distributed Game Development

Transcript of a BriefingsDirect podcast on how SEGA Europe has moved to a more secure and scalable VMware cloud solution for its worldwide development efforts.

Listen to the podcast. Find it on iTunes/iPod. Download the transcript. Sponsor: VMware.

Dana Gardner: Hi, this is Dana Gardner, Principal Analyst at Interarbor Solutions, and you're listening to BriefingsDirect.

Today, we present a sponsored podcast discussion on how a major game developer in Europe is successfully leveraging the hybrid cloud model.

We’ll learn how SEGA Europe is standardizing its cloud infrastructure across its on-premises operations, as well as with a public cloud provider. The result is a managed and orchestrated hybrid environment to test and develop multimedia games, one that dynamically scales productively to the many performance requirements at hand.

We’re joined by a systems architect with SEGA in London to learn more about how the hybrid approach to multiple, complementary cloud instances is meeting SEGA’s critical development requirements in a new way. [Disclosure: VMware is a sponsor of BriefingsDirect podcasts.]

Please join me now in welcoming Francis Hart, Systems Architect at SEGA Europe. Welcome to the podcast, Francis.

Francis Hart: Hi.

Gardner: We’re all very familiar with the amazing video games that are being created nowadays. And SEGA of course is particularly well-known for the Sonic the Hedgehog franchise going back a number of years, and I have to tell you, Francis, my son is a big fan of those games.

But I'm curious about how, behind the scenes, these games are made. How they come into being and what are some of the critical requirements that you have from a systems architecture perspective when developing these games?

Hart: We have a lot of development studios across the world. We're working on multiple projects. We need to ensure that we supply them with a highly scalable and reliable solution in order to test, develop, and produce the game and the code in time.

Gardner: And how many developers are you working with there at SEGA Europe?

Hart: We have a number of different development studios. We’re probably looking at thousands of individual developers across the world.

Gardner: For those folks who are not familiar with the process, there is the creation of the code, there is the test and debug, and builds. It's quite complicated. There's a lot going on, many different moving parts. How did you start approaching that from your IT environment, from building the right infrastructure to support that?

Targeting testing

Hart: One of the first areas we targeted very early on was the last process in those steps, the testing, arguably one of the most time-consuming processes within the development cycle. It happens pretty much all the way through as well to ensure that the game itself behaves as it should, it’s tested, and the customer gets the end-user experience they require.

The biggest technical goal that we had for this is being able to move large amounts of data, un-compiled code, from different testing offices around the world to the staff. Historically we had some major issues in securely moving that data around, and this is what we started looking into cloud solutions for this.

Gardner: How did you use to do it? What was the old fashion way?

Hart: For very, very large game builds, and we're talking game builds above 10 gigabytes, it ended up being couriered within the country and then overnight file transfer outside of the country. So, very old school methods.

We needed both to secure that up to make sure we understood where the game builds were, and also to understand exactly which version each of the testing offices was using. So it’s gaining control, but also providing more security.

Gardner: Clearly one of the requirements here is to manage large files rapidly across geographic distances, but with security and management control, governance, and so forth. But as I understand, you're also dealing with this sort of peak-and-trough issue about the infrastructure itself. You need to ramp up a lot of servers to do the build, but then they sit there essentially unproductive between the builds. How did you flatten that out or manage the requirements around the workload support?

We work on the idea of having a central platform for a lot of these systems. Using virtualization to do that allowed us to scale off at certain times.

Hart: Typically, in the early stages of development, there is a fair amount of testing going on, and it tends to be quite small -- the number of staff involved in it and the number of build iterations. Going on, when the game reaches to the end of its product life-cycle, we’re talking multiple game iterations a day and the game size has gotten very large at that point. The number of people involved in the testing to meet the deadlines and get the game shipped on date is into the hundreds and hundreds of staff.

Gardner: How has virtualization and moving your workloads into different locations evolved over the years?

Hart: We work on the idea of having a central platform for a lot of these systems. Using virtualization to do that allowed us to scale off at certain times. Historically, we always had an on-premise VMware platform to do this. Very recently, we’ve been looking at ways to use that resource within a cloud to cut down from some of Capex loading but also remain a little bit more agile with some of the larger titles, especially online games that are coming around.

Gardner: Right. So we’re seeing a lot more of the role-play games (RPG) types of games, games themselves in the cloud. That must influence what you're doing in terms of thinking about your future direction.

Hart: Absolutely. We’ve been looking at things like the hybrid cloud model with VMware as a development platform for our developers. That's really what we're working on now. We've got a number of games in the pipeline that have been developed on the hybrid cloud platform. It gives the developers a platform that is exactly the same and mirrored to what it would eventually be in the online space through ISPs like Colt, which should be hosting the virtual cloud platform.

Gardner: So if the end destination for the runtime, or the operational runtime, for the game is going to be the cloud, it makes sense to live "of, for, and by" the cloud, I suppose. It’s more complementary. It’s always going to be there, right?

Gaining cost benefits

Hart: Yes. And one of the benefits we're seeing in the VMware offering is that regardless of what data center in the world is the standard platform, it also allows us to leverage multiple ISPs, and hopefully gain some cost benefits from that.

Gardner: Francis, tell me a little bit about the pilot project. No one is going to jump up and put their mission-critical activities into a cloud environment, especially a hybrid environment, overnight. So the crawl-walk-run approach seems to be the most prudent way. Tell me a little bit about what your goals were and what you've been able to attain even in a pilot setting?

Hart: Very early on we were in discussions with Colt and also VMware to understand what technology stack they were bringing into the cloud. We started doing a proof of concept with VMware and a professional services company, and together we were able to come over a proof of concept to distribute our game testing code, which previously was a very old-school distribution system. So anything better would improve the process.

There wasn't too much risk to the company. So we saw the opportunity to have a hybrid cloud set up to allow us to have an internal cloud system to distribute the codes to the majority of UK game testers and to leverage high bandwidth between all of our sites.

For the game testing studios around Europe and the world, we could use a hosted version of the same service which was up on the Colt Virtual Cloud Director (VCD) platform to supply this to trusted testing studios.

Doing this allows us to manage it at one location and simply clone the same system to another cloud data center.

Gardner: When you approach this hybrid cloud model, it’s one thing to be able to technically do that, to have the standardization and to have the products in place that will support the workloads and the virtualization continuity, the similar environment. But what about managing that? What about having a view into what’s going on so that you know what aspects of the activity and requirements are being met and where? It must involve quite a bit of management?

Hart: Yes. Also the virtual cloud environment of vCloud Director has a web portal that allows you to manage a lot of this configuration in a central way. We’re also using VMware Cloud Connector, which is a product that allows you to move the apps between different cloud data centers. And doing this allows us to manage it at one location and simply clone the same system to another cloud data center.

In that regard, the configuration very much was in a single place for us in the way that we designed the proof of concept. It actually helped things, and the previous process wasn’t ideal anyway. So it was a dramatic improvement.

Gardner: Well, let’s dig into that a bit. What were some of the metrics of success, even on your pilots? I understand that you’re going to be expanding on that, but are there data points that we can look to whether it’s reduction in cost for servers, operation, security, time to development and test? What were some of the salient paybacks of doing development in this manner?

Hart: One of the immediate benefits was around the design process. It's very obvious that we were tightening up security within our build delivery to the testing studios. Nothing was with a courier on a bike anymore, but within a secured transaction between the two offices.

Risk greatly reduced

Also from a security perspective, we understood exactly what game assets and builds were in each location. So it really helped the product development teams to understand what was where and who was using what, and so from a risk point of view it’s greatly reduced.

In terms of stats and the amount of data throughput, it’s pretty large, and we’ve been moving terabytes pretty much weekly nowadays. Now we’re going completely live with the distribution network.

So it’s been a massive success. All of the UK testing studios are using the build delivery system day to day, and for the European ones we’ve got about half the testing studios on board that build delivery system now, and it’s transparent to them.

Gardner: Francis, in moving to a hybrid environment, in practical terms, was there anything that appeared, that crept in, that you weren’t anticipating? Was there something about this that caught you by surprise -- either good or bad?

Hart: Not particularly. VMware was very good at allowing us to understand the technology and that's one of the benefits of working with a professional services reseller. In terms of gotchas, there weren't too many. There were a lot of good surprises that came up and allowed us to open the door to a lot of other VMware technologies.

There were a lot of good surprises that came up and allowed us to open the door to a lot of other VMware technologies.

Now, we're also looking at alternating a lot of processes within vCenter Orchestrator and other VMware products. They really gave us a good stepping stone into the VMware catalogue, rather than just vSphere, which we were using previously. That was very handy for us.

Gardner: I’d like to just pause here for a second. Your use of vSphere -- and I believe you’re on 4.1 if my notes are correct -- has gotten you to a fairly high level of virtualization. That must have been an important stepping stone to be able to have the dynamic ability to ramp up and down your environments, your support infrastructure, but also skills. I imagine there must have been a comfort zone with virtualization that you needed to have in order to move into the cloud level, too.

Hart: Absolutely. We already have a fair footprint in Amazon Web Services (AWS), and it was a massive skill jump that we needed to train members of the staff in order to use that environment. With the VMware environment, as you said, we already have a large amount of skill set using vSphere. We have a large team that supports our corporate infrastructure and we've actually got VMware in our co-located public environment as well. So it was very, very assuring that the skills were immediately transferable.

Gardner: Let’s get back to what you’re going to be doing, now that this pilot has been successful. You’ve had some success with meeting your requirements, also getting some benefits that you weren't anticipating and that all important security control and governance aspect. What’s the next step? Where did you go with your initial stepping stone into hybrid cloud? How are you going to get into that run mode now that you've sort of walked and crawled?

Game release

Hart: As I mentioned before, the first part was dealing with the end of the process, and that was the testing and the game release process. Now, we’re going to be working back from that. The next big area that we’re actively involved in is getting our developers to develop online games within the hybrid environment.

So they’re designing the game and the game’s back-end servers to be optimal within the VMware environment. And then, also pushing from staging to live is a very simple process using the Cloud Connector.

Gardner: Well, that sounds a lot like what we know in the business as platform as a service (PaaS) where you are actually accomplishing much, if not all, of the development, test and deploy cycle -- the life-cycle of the applications in the cloud.

Hart: Absolutely. We're restructuring and redesigning the IT systems within SEGA to be more of a development operations team to provide a service to the developers and to the company.

Gardner: Great. I really appreciate your sharing your story with us, Francis. Now that you've done this a bit, any words of wisdom, 20/20 hindsight, that you might share with others who are considering moving more aggressively into private cloud, hybrid cloud, and ultimately perhaps the full PaaS value?

The next big area that we’re actively involved in is getting our developers to develop online games within the hybrid environment.

Hart: Just get some hands-on experience and play with the cloud stack from VMware. It’s inexpensive to have a go and just get to know the technology stack.

Gardner: Thanks. You've been listening to a sponsored podcast discussion on how a major game developer, SEGA, is leveraging the hybrid cloud model using the VMware cloud stack.

I’d like to thank our guest, Francis Hart, System Architect at SEGA Europe, based in London. Thanks again so much, Francis.

Hart: Thank you.

Gardner: This is Dana Gardner, Principal Analyst at Interarbor Solutions. Thanks to our audience for joining us as well, and come back next time.

Listen to the podcast. Find it on iTunes/iPod. Download the transcript. Sponsor: VMware.

Transcript of a BriefingsDirect podcast on how SEGA Europe has moved to a more secure and scalable VMware cloud solution for its worldwide development efforts. Copyright Interarbor Solutions, LLC, 2005-2011. All rights reserved.

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