Wednesday, November 30, 2011

Big Data meets Complex Event Processing: AccelOps delivers a better architecture to attack the data center monitoring and analytics problem

Listen to the podcast. Find it on iTunes/iPod. Read a full transcript or download a copy. Sponsor: AccelOps. Connect with AccelOps: Linkedin, Twitter, Facebook, RSS.

The latest BriefingsDirect podcast discussion centers on how new data and analysis approaches are significantly improving IT operations monitoring, as well as providing stronger security.

The conversation examines how AccelOps has developed technology that correlates events with relevant data across IT systems, so that operators can gain much better insights faster, and then learn as they go to better predict future problems before they emerge. That's because advances in big data analytics and complex events processing (CEP) can come together to provide deep and real-time, pattern-based insights into large-scale IT operations.

Here to explain how these new solutions can drive better IT monitoring and remediation response -- and keep those critical systems performing at their best -- is Mahesh Kumar, Vice President of Marketing at AccelOps. The discussion is moderated by Dana Gardner, Principal Analyst at Interarbor Solutions. [Disclosure: AccelOps is a sponsor of BriefingsDirect podcasts.]

Here are some excerpts:
Gardner: Is there a fundamental change in how we approach the data that’s coming from IT systems in order to get a better monitoring and analysis capability?

Kumar: The data has to be analyzed in real-time. By real-time I mean in streaming mode before the data hits the disk. You need to be able to analyze it and make decisions. That's actually a very efficient way of analyzing information. Because you avoid a lot of data sync issues and duplicate data, you can react immediately in real time to remediate systems or provide very early warnings in terms of what is going wrong.

The challenges in doing this streaming-mode analysis are scale and speed. The traditional approaches with pure relational databases alone are not equipped to analyze data in this manner. You need new thinking and new approaches to tackle this analysis problem.

Gardner: Also for issues of security, offeners are trying different types of attacks. So this needs to be in real-time as well?

Kumar: You might be familiar with advanced persistent threats (APTs). These are attacks where the attacker tries their best to be invisible. These are not the brute-force attacks that we have witnessed in the past. Attackers may hijack an account or gain access to a server, and then over time, stealthily, be able to collect or capture the information that they are after.

These kinds of threats cannot be effectively handled only by looking at data historically, because these are activities that are happening in real-time.



These kinds of threats cannot be effectively handled only by looking at data historically, because these are activities that are happening in real-time, and there are very, very weak signals that need to be interpreted, and there is a time element of what else is happening at that time. This too calls for streaming-mode analysis.

If you notice, for example, someone accessing a server, a database administrator accessing a server for which they have an admin account, it gives you a certain amount of feedback around that activity. But if on the other hand, you learn that a user is accessing a database server for which they don’t have the right level of privileges, it may be a red flag.

You need to be able to connect this red flag that you identify in one instance with the same user trying to do other activity in different kinds of systems. And you need to do that over long periods of time in order to defend yourself against APTs.

Gardner: It's always been difficult to gain accurate analysis of large-scale IT operations, but it seems that this is getting more difficult. Why?

Kumar: If you look at trends, there are on average about 10 virtual machines (VMs) to a physical server. Predictions are that this is going to increase to about 50 to 1, maybe higher, with advances in hardware and virtualization technologies. The increase in density of VMs is a complicating factor for capacity planning, capacity management, performance management, and security.

In a very short period of time, you have in effect seen a doubling of the size of the IT management problem. So there are a huge number of VMs to manage and that introduces complexity and a lot of data that is created.

Cloud computing

Cloud computing is another big trend. All analyst research and customer feedback suggests that we're moving to a hybrid model, where you have some workloads on a public cloud, some in a private cloud, and some running in a traditional data center. For this, monitoring has to work in a distributed environment, across multiple controlling parties.

Last but certainly not the least, in a hybrid environment, there is absolutely no clear perimeter that you need to defend from a security perspective. Security has to be pervasive.

Given these new realities, it's no longer possible to separate performance monitoring aspects from security monitoring aspects, because of the distributed nature of the problem. ... So change is happening much more quickly and rapidly than ever before. At the very least, you need monitoring and management that can keep pace with today’s rate of change.

At the very least, you need monitoring and management that can keep pace with today’s rate of change.



The basic problem you need to address is one of analysis. Why is that? As we discussed earlier, the scale of systems is really high. The pace of change is very high. The sheer number of configurations that need to be managed is very large. So there's data explosion here.

Since you have a plethora of information coming at you, the challenge is no longer collection of that information. It's how you analyze that information in a holistic manner and provide consumable and actionable data to your business, so that you're able to actually then prevent problems in the future or respond to any issues in real-time or in near real-time.

You need to nail the real-time analytics problem and this has to be the centerpiece of any monitoring or management platform going forward.

Advances in IT

Gardner: So we have the modern data center, we have issues of complexity and virtualization, we have scale, we have data as a deluge, and we need to do something fast in real-time and consistently to learn and relearn and derive correlations.

It turns out that there are some advances in IT over the past several years that have been applied to solve other problems that can be brought to bear here. You've looked at what's being done with big data and in-memory architectures, and you've also looked at some of the great work that’s been done in services-oriented architecture (SOA) and CEP, and you've put these together in an interesting way.

Big data is about volume, the velocity or the speed with which the data comes in and out, and the variety or the number of different data types and sources that are being indexed and managed.



Kumar: Clearly there is a big-data angle to this.

Doug Laney, a META and a Gartner analyst, probably put it best when he highlighted that big data is about volume, the velocity or the speed with which the data comes in and out, and the variety or the number of different data types and sources that are being indexed and managed.

For example, in an IT management paradigm, a single configuration setting can have a security implication, a performance implication, an availability implication, and even a capacity implication in some cases. Just a small change in data has multiple decision points that are affected by it. From our angle, all these different types of criteria affect the big data problem.

Couple of approaches

There are a couple of approaches. Some companies are doing some really interesting work around big-data analysis for IT operations.

They primarily focus on gathering the data, heavily indexing it, and making it available for search, thereby derive analytical results. It allows you to do forensic analysis that you were not easily able to with traditional monitoring systems.

The challenge with that approach is that it swings the pendulum all the way to the other end. Previously we had a very rigid, well-defined relational data-models or data structures, and the index and search approach is much more of a free form. So the pure index-and-search type of an approach is sort of the other end of the spectrum.

What you really need is something that incorporates the best of both worlds and puts that together, and I can explain to you how that can be accomplished with a more modern architecture. To start with, we can't do away with this whole concept of a model or a relationship diagram or entity relationship map. It's really critical for us to maintain that.

What you really need is something that incorporates the best of both worlds and puts that together.



I’ll give you an example. When you say that a server is part of a network segment, and a server is connected to a switch in a particular way, it conveys certain meaning. And because of that meaning, you can now automatically apply policies, rules, patterns, and automatically exploit the meaning that you capture purely from that relationship. You can automate a lot of things just by knowing that.

If you stick to a pure index-and-search approach, you basically zero out a lot of this meaning and you lose information in the process. Then it's the operators who have to handcraft these queries to have to then reestablish this meaning that’s already out there. That can get very, very expensive pretty quickly.

Our approach to this big-data analytics problem is to take a hybrid approach. You need a flexible and extensible model that you start with as a foundation, that allows you to then apply meaning on top of that model to all the extended data that you capture and that can be kept in flat files and searched and indexed. You need that hybrid approach in order to get a handle on this problem.

Gardner: Why do you need to think about the architecture that supports this big data capability in order for it to actually work in practical terms?

Kumar: You start with a fully virtualized architecture, because it allows you not only to scale easily, ... but you're able to reach into these multiple disparate environments and capture and analyze and bring that information in. So virtualized architecture is absolutely essential.

Auto correlate

Maybe more important is the ability for you to auto-correlate and analyze data, and that analysis has to be distributed analysis. Because whenever you have a big data problem, especially in something like IT management, you're not really sure of the scale of data that you need to analyze and you can never plan for it.

Think of it as applying a MapReduce type of algorithm to IT management problems, so that you can do distributed analysis, and the analysis is highly granular or specific. In IT management problems, it's always about the specificity with which you analyze and detect a problem that makes all the difference between whether that product or the solution is useful for a customer or not.

In IT management problems, it's always about the specificity with which you analyze and detect a problem that makes all the difference.



A major advantage of distributed analytics is that you're freed from the scale-versus-richness trade-off, from the limits on the type of events you can process. If I wanted to do more complex events and process more complex events, it's a lot easier to add compute capacity by just simply adding VMs and scaling horizontally. That’s a big aspect of automating deep forensic analysis into the data that you're receiving.

I want to add a little bit more about the richness of CEP. It's not just around capturing data and massaging it or looking at it from different angles and events. When we say CEP, we mean it is advanced to the point where it starts to capture how people would actually rationalize and analyze a problem.

The only way you can automate your monitoring systems end-to-end and get more of the human element out of it is when your CEP system is able to capture those nuances that people in the NOC and SOC would normally use to rationalize when they look at events. You not only look at a stream of events, you ask further questions and then determine the remedy.

No hard limits

To do this, you should have a rich data set to analyze, i.e. there shouldn’t be any hard limits placed on what data can participate in the analysis and you should have the flexibility to easily add new data sources or types of data. So it's very important for the architecture to be able to not only event on data that are is stored in in traditional models or well-defined relational models, but also event against data that’s typically serialized and indexed in flat file databases.

Gardner: What's the payoff if you do this properly?

Kumar: It is no surprise that our customers don’t come to us saying we have a big data problem, help us solve a big data problem, or we have a complex event problem.

Customers say they are so interconnected that they want these managed on a common platform.



Their needs are really around managing security, performance and configurations. These are three interconnected metrics in a virtualized cloud environment. You can't separate one from the other. And customers say they are so interconnected that they want these managed on a common platform. So they're really coming at it from a business-level or outcome-focused perspective.

What AccelOps does under the covers, is apply techniques such as big-data analysis, complex driven processing, etc., to then solve those problems for the customer. That is the key payoff -- that customer’s key concerns that I just mentioned are addressed in a unified and scalable manner.

An important factor for customer productivity and adoption is the product user-interface. It is not of much use if a product leverages these advanced techniques but makes the user interface complicated -- you end up with the same result as before. So we’ve designed a UI that’s very easy to use, requires one or two clicks to get the information you need; a UI-driven ability to compose rich events and event patterns. Our customers find this very valuable, as they do not need super-specialized skills to work with our product.

Key metrics

What we've built is a platform that monitors data center performance, security, and configurations. The three key interconnected metrics in virtualized cloud environments. Most of our customers really want that combined and integrated platform. Some of them might choose to start with addressing security, but they soon bring in the performance management aspects into it also. And vice versa.

And we take a holistic cross-domain perspective -- we span server, storage, network, virtualization and applications. What we've really built is a common consistent platform that addresses these problems of performance, security, and configurations, in a holistic manner and that’s the main thing that our customers buy from us today.

Free trial download

Most of our customers start off with the free trial download. It’s a very simple process. Visit www.accelops.com/download and download a virtual appliance trial that you can install in your data center within your firewall very quickly and easily.

Getting started with the AccelOps product is pretty simple. You fire up the product and enter the credentials needed to access the devices to be monitored. We do most of it agentlessly, and so you just enter the credentials, the range that you want to discover and monitor, and that’s it. You get started that way and you hit Go.

We do most of it agentlessly, and so you just enter the credentials, the range that you want to discover and monitor, and that’s it.



The product then uses this information to determine what’s in the environment. It automatically establishes relationships between them, automatically applies the rules and policies that come out of the box with the product, and some basic thresholds that are already in the product that you can actually start measuring the results. Within a few hours of getting started, you'll have measurable results and trends and graphs and charts to look at and gain benefits from it.

Gardner: It seems that as we move toward cloud and mobile that at some point or another organizations will hit the wall and look for this automation alternative.

Kumar: It’s about automation and distributed analytics and about getting very specific with the information that you have, so that you can make absolutely more predictable, 99.9 percent correct of decisions and do that in an automated manner. The only way you can do that is if you have a platform that’s rich enough and scalable and that allows you to then reach that ultimate goal of automating most of the management of these diverse and disparate environments.

That’s something that's sorely lacking in products today. As you said, it's all brute-force today. What we have built is a very elegant, easy-to-use way of managing your IT problems, whether it’s from a security standpoint, performance management standpoint, or configuration standpoint, in a single integrated platform. That's extremely appealing for our customers, both enterprise and cloud-service providers.

I also want to take this opportunity to encourage those of your listening or reading this podcast to come meet our team at the 2011 Gartner Data Center Conference, Dec. 5-9, at Booth 49 and learn more. AccelOps is a silver sponsor of the conference.
Listen to the podcast. Find it on iTunes/iPod. Read a full transcript or download a copy. Sponsor: AccelOps. Connect with AccelOps: Linkedin, Twitter, Facebook, RSS.

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Tuesday, November 29, 2011

HP Discover case study: Vodafone Ireland IT group sees huge ROI by emphasizing business service delivery

Listen to the podcast. Find it on iTunes/iPod. Read a full transcript or download a copy. Sponsor: HP.

Welcome to a special BriefingsDirect podcast series coming to you from the HP Discover 2011 Conference in Vienna. We’re exploring some major case studies from some of Europe’s leading enterprises.

Out next customer case study interview highlights how a shift from a technology emphasis to a business services delivery emphasis has created significant improvements for a large telecommunications provider, Vodafone. We'll see how a series of innovative solutions and an IT transformation approach to better support business benefits Vodafone, their internal users, and their global customers.

To learn more, we’re here with Shane Gaffney, Head of IT operations for Vodafone Ireland, based in Dublin. The interview is moderated by Dana Gardner, Principal Analyst at Interarbor Solutions. [Disclosure: HP is a sponsor of BriefingsDirect podcasts.]

Here are some excerpts:
Gaffney: Back in summer of 2010, when we looked at the business perception of the quality of service received from IT, the confidence was lower than we’d like in terms of predictable and optimal service quality being provided.

There was a lack of transparency. Business owners didn’t fully understand what quality was being received and they didn’t have simple meaningful language that they were receiving from IT operations in terms of understanding service quality: good, bad, or indifferent.

Within IT operations, as a function, we also had our own challenges. We were struggling to control our services. We were under the usual pressure that many of our counterparts face in terms of having to do more with less, and downward pressure on cost and headcount. We were growing a dynamic complex IT estate, plus customers are naturally becoming ever more discerning in terms of their expectations of IT.

So with that backdrop, we knew we needed to take some radical steps to really drive our business forward.

Vodafone is Ireland’s leading telecommunications operator. We have in excess of 2.4 million subscribers, about 1,300 employees in a mixture of on-premise and cloud operations. I mentioned the complex and dynamic IT estate that we manage. To put a bit of color around that, we’ve got 230 applications, about 2,500 infrastructure nodes that we manage either directly or indirectly -- with substantial growth in traffic, particularly the exponential growth in the telecom data market.

Gardner: What does this get for you -- if you do it right? What is it that you've been able to attain by shifting your emphasis to the business services level? What’s the payoff?

Reduction in lost hours

Gaffney: We've seen a 66 percent reduction in customer lost hours year on year from last summer to this. We’ve also seen a 75 percent reaction in mean time to repair or average service restoration time.

Another statistic I'd call out briefly is that at the start of this process, we were identifying root cause for incidents that were occurring in about 40-50 percent of cases on average. We’re now tracking consistently between 90-100 percent in those cases and have thereby been able to better understand, through our capabilities and tools, what’s going on in the department and what’s causing issues. We consequently have a much better chance of avoiding repetition in those issues impacting customers.

At a customer satisfaction level, we’ve seen similar improvements that correlate with the improved operational key performance indicators (KPIs). From all angles, we’ve thankfully enjoyed very substantial improvements. If we look at this from a financial point of view, we’ve realized a return on investment (ROI) of 300 percent in year one and, looking solely at the cost to fix and the cost of failure in terms of not offering optimal service quality, we’ve been able to realize cost savings in the region of €1.2 million OPEX through this journey.

Gardner: Let me just dig into that ROI. That’s pretty amazing, 300 percent ROI in one year. And what was that investment in? Was that in products, services, consulting, how did you measure it?

At a customer satisfaction level, we’ve seen similar improvements that correlate with the improved operational KPIs.



Gaffney: Yes, the ROI is in terms of the expenditure that would have related primarily to our investment in the HP product portfolio over the last year as well as a smaller number of ancillary solutions.

The payback in terms of the benefits realized from financial perspective that relate to the cost savings associated with having fewer issues and in the event where we have issues, the ability to detect those faster and spend less labor investigating and resorting issues, because the tools, in effect, are doing a lot of that legwork and much of the intelligence is built in to that product portfolio.

[Another way] we measure success, is we try to take a 360 view of our service quality. So we have a comprehensive suite of KPIs at the technology layer. We also do likewise in terms of our service management and establishing KPIs and service level agreements (SLAs) at the service layer. We've then taken a look at what quality looks like in terms of customer experience and perception, seeking to correlate metrics between these perspectives.

As an example, we routinely and rigorously measure our customer net promoter score, which essentially assesses whether the customers, based on their experience, would recommend our products and services to others.

[Lastly, we also] build confidence within the team in terms of having a better handle on the quality of service that we’re offering. Having that commercial awareness really does drive the team forward. It means that we’re able to engage with our customers in a much more meaningful way to create genuine value-add, and move away from routine transactional activity, to helping our customers to innovate and drive business forward.

Without having a consolidated or rationalized suite of tools, we found previously that it's very difficult to get control of our services through the various tiers.



We’ve certainly enjoyed those type of benefits through our transformation journey by automating a lot of the more core routine and repeatable activity, facilitating focus on our relationship with our customers in terms of understanding their needs and helping them to evolve the business.

Gardner: How do you, at a philosophical level, bridge the continuum among and between technology and the other softer issues like culture to obtain these benefits?

Gaffney: The first thing we did was engage quite heavily with all of our business colleagues to define a service model. In essence what we were looking at there was having our business unit owners define what services were important to them at multiple levels down to the service transactions, and defining the attributes of each of those services that make them successful or not.

We essentially looked to align our people, revamp our processes, and look at our end-to-end tool strategy, all based around that service model.



Once we had a very clear picture of what that looked like across all business functions, we used that as our starting point to be able to measure success through the customer eyes.

That's the focus and continues to be the core driver behind everything else we do in IT operations. We essentially looked to align our people, revamp our processes, and look at our end-to-end tool strategy, all based around that service model.

The service model has enforced a genuine service orientation and customer centricity that’s driven through all activities and behaviors, including the culture within the IT ops group in how we service customers. It’s really incorporating those commercial and business drivers at the heart of how we work.

Without having a consolidated or rationalized suite of tools, we found previously that it's very difficult to get control of our services through the various tiers. By introducing the HP Application Performance Management tools portfolio, there are a number of modules therein that have allowed us to achieve the various goals that we’ve set to achieve the desired control.

Helicopter view

Essentially, the service model is defined at a helicopter view, which is really what’s important to our respective customers. And we’ve drilled down into a number of customer or service-oriented views of their services, as well as mapping in, distilling, and simplifying the underlying complexities and event volumes within our IT estate.

Gardner: I suppose this would be a good time to step back and take a look at what you actually do have in place. What specifically does that portfolio consist of for you there at Vodafone Ireland?

Gaffney: We have a number of modules in HP's APM portfolio that I'll talk about briefly. In terms of looking to get a much broader and richer understanding of our end-user experience which we lacked previously, we’ve deployed HP’s Business Process Monitors (BPMs) to effectively emulate the end-user experience from various locations nationwide. That provides us with a consistent measure and baseline of how users experience our services.

We’ve deployed HP Real User Monitoring (RUM), which gives us a comprehensive micro and macro view of the actual customer experience to complement those synthetic transactions that mimic user behavior. Those two views combined provide a rich cocktail for understanding at a service level what our customers are experiencing.

Events correlation

We then looked at events correlation. We were one of the first commercial customers to adopt HP’s BSM version 9.1 deployment, which gives us a single pane of glass into our full service portfolio and the related IT infrastructure.

Looking a little bit more closely at BSM, we've used HP’s Discovery and Dependency Mapping Advanced (DDMa) to build out our service model, i.e. effectively mapping our configuration items throughout the estate, back up to that top-down service view. DDMa effectively acts as an inventory tool that granularly links the estate to service. We’ve aligned the DDMa deployment with our service model which, as I mentioned earlier, is integral to our transformation journey.

Beyond that, we’ve looked at HP’s Operations Manager i (OMI) capability, which we use to correlate our application performance and our system events with our business services. This allows our operators to reduce a lot of the noisy events by distilling those high-volume events into unique actionable events. This allows operators to focus instead on services that may be impacted or need attention and, of course, our customers and our business.

We’ve gone farther and looked at ArcSight Logger, software which we’ve deployed to a single location that collects logged files throughout our estate. This allows us to quickly and easily search across all logged files for abnormalities that might be related to a particular issue.

By integrating ArcSight Logger with OMI -- and I believe we’re one of the first HP customers to do this -- we’ve enriched operator views with security information as well as the hardware, OS, and application layer events. That gives us a composite view of what’s happening with our services through multiple lenses, holistically across our technology landscape and products and services portfolio.

A year ago, we were to a degree reactive in terms of how we provided service. At this point, we’re proactive in how we manage services.



Additionally, we’ve used HP’s Operations Orchestration to automate many of our routine procedures and, picking up on the ROI, this has allowed us to free up operators’ time to focus on value-add and effectively to do more with less. That's been quite a powerful module for us, and we’ve further work to exploit that capability.

The last point to call out in terms of the HP portfolio is we’re one of the early trialists of HP’s Service Health Analyzer. A year ago, we were to a degree reactive in terms of how we provided service. At this point, we’re proactive in how we manage services.

Service Health Analyzer will allow us to move to the next level of our evolution, moving toward predictive service quality. I prefer to call the Service Health Analyzer our “crystal ball,” because that’s essentially what we’re looking at. It’s taking trends that are occurring with the services of transaction, and predicting what's likely to happen next and what may be in jeopardy of breaking down the line, so you can take early intervention and remedial action before there’s any material impact on customers.

We’re quite excited about seeing where we can go there. One of the sub-modules of Service Health Analyzer is Service Health Reporter, and that’s a tool that we expect to act as our primary capacity planning capability across a full IT estate going forward.

Throughout our implementation, partnership was a key ingredient to success. Vodafone had the business vision and appetite to evolve. HP provided the thought leadership and guidance. And, Perform IT, HP's partner, brought hands-on implementation and tuning expertise into the mix.

Full transparency

One of our core principles throughout this journey has been to offer full transparency to our customers in terms of the services they receive and enjoy from us. On one hand, we provide the BSM console to all of our customers to allow them to have a view of exactly what the IT teams see, but with a service orientation.

We’re actually going a step further and we’re building out a cloud-based service portal that takes a rich feed in from the full BSM portfolio, including the modules that I've called out earlier. It also takes feeds in from a remedy system, in order to get the view of core processes such as incident management, problem management, change management.

Bringing all of that information together gives customers a comprehensive view of the services they receive from IT operations. That's our aim -- to provide customers with everything they need at their fingertips.

It's essentially providing simple and meaningful information with customized views and dynamic drill-down capabilities, so customers can look at a very high level of how the services are performing, or really drill into the detail, should they so desire. The portal, we believe, is likely to act as a powerful business enabler. Ultimately, we believe there's opportunity to commercialize or productize this capability down the line.

The portal, we believe, is likely to act as a powerful business enabler. Ultimately, we believe there's opportunity to commercialize or productize this capability down the line.



Gardner: Any recommendations now that you've been through this yourself?

Gaffney: For customers embarking on this type of transformation initiative, first off, I would suggest: engage with your customers. Speak with your customers to deeply understand their services, and let them define what success looks like.

Look to promote quick wins and win-wins. Look at what works for the IT community and what works for the customer. Both are equally important. Buy-in is required, and people across those functions all need to understand what success looks like, and believe in it.

I would recommend taking a holistic approach from a couple of angles. Don’t just look at your people, technology, or processes, but look at those collectively, because they need to work in harmony to hit the service quality sweet spot. Holistically, it's important to prepare your strategy, but look top down from the customer view down into your IT estate and vice versa, mapping all configuration items back into those top level services.
Listen to the podcast. Find it on iTunes/iPod. Read a full transcript or download a copy. Sponsor: HP.

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Monday, November 28, 2011

Register now to hear HP experts on latest support strategies for unique challenges of virtualized and cloud environments

Advanced and pervasive virtualization and cloud computing trends are driving the need for a better, holistic approach to IT support and remediation. Keeping virtualized servers that support mission-critical applications and databases at top levels of performance 24 x 7 is a much different problem than for maintaining physical servers in traditional configurations.

That's why HP has made the service and support of global virtualization market leader VMware implementations a top priority. And while the technology to support and fix these virtualized environments is essential, the people, skills and knowledge to manage these systems are perhaps the most decisive elements of ongoing performance success.

Live discussion


T
o find out more, I'll be moderating a live deep-dive discussion on Dec. 7, with a group of HP experts to explore how to make the most of the available people, technology and processes to provide an insurance policy against systems failure. [Disclosure: HP and VMware are both sponsors of BriefingsDirect podcasts.]

The stakes have never been higher for keeping applications and business up and running.


Register now as seats are limited for this free HP Expert Chat.

In this discussion, you'll hear latest recommendations for how IT support should be done -- even amid a rapidly changing IT landscape of virtualized, hybrid and cloud computing. First in the hour-long multi-media presentation, comes the inside story of how modern service and support works from one of HP's top services experts, Cindy Manderson, Technical Solutions Consultant for Complex Problem Resolution & Quality for VMware Products, who has 27-plus years experience with HP, and eight-plus years supporting VMware.

After Cindy's chat, viewers will be invited to participate in the interactive question-and-answer session with actual HP VMware experts. Moreover, both questions and answers will be automatically translated into 13 major languages to demonstrate how service and support services know no boundaries, time zones or language barriers.

Register now as seats are limited for this free HP Expert Chat.

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