|By Dana Gardner||
|July 28, 2014 09:30 AM EDT||
Three years ago, Systems Mechanics Limited used relational databases to assemble and analyze some 20 different data sources in near real-time. But most relational database appliances used 1980s technical approaches, and the ability to connect more data and manage more events capped off. The runway for their business expansion just ended.
So Systems Mechanics looked for a platform that scales well and provides real-time data analysis, too. At the volumes and price they needed, HP Vertica has since scaled without limit ... an endless runway.
To learn more about how Systems Mechanics improved how their products best deliver business intelligence (BI), analytics streaming, and data analysis, BriefingsDirect spoke with Andy Stubley, Vice President of Sales and Marketing at Systems Mechanics, based in London. The discussion, at the HP Discover conference in Barcelona, is moderated by me, Dana Gardner, Principal Analyst at Interarbor Solutions.
Here are some excerpts:
Gardner: You've been doing a lot with data analysis at Systems Mechanics, and monetizing that in some very compelling ways.
Stubley: Yes, indeed. System Mechanics is principally a consultancy and a software developer. We’ve been working in the telco space for the last 10-15 years. We also have a history in retail and financial services.
The focus we've had recently and the products we’ve developed into our Zen family are based on big data, particularly in telcos, as they evolve from principally old analog conversations into devices where people have smartphone applications -- and data becomes ever more important.
All that data and all those people connected to the network cause a lot more events that need to be managed, and that data is both a cost to the business and an opportunity to optimize the business. So we have a cost reduction we apply and a revenue upside we apply as well.
Gardner: What’s a typical way telcos use Zen, and that analysis?
Stubley: Let’s take a scenario where you’re looking in network and you can’t make a phone call. Two major systems are catching that information. One is a fault-management system that’s telling you there is a fault on the network and it reports that back to the telecom itself.
The second one is the performance management system. That doesn’t specify faults basically, but it tells you if you’re having things like thresholds being affected, which may have an impact on performance every time. Either of those can have an impact on your customer, and from a customer’s perspective, you might also be having a problem with the network that isn’t reported by either of the systems.
We’re finding that social media is getting a bigger play in this space. Why is that? Now, particular the younger populations with consumer-based telcos, mobile telcos particularly, if they can’t get a signal or they can’t make a phone call, they get onto social media and they are trashing the brand.
They’re making noise. A trend is combining fault management and performance management, which are logical partners with social media. All of a sudden, rather than having a couple of systems, you have three.
In our world, we can put 25 or 30 different data sources on to a single Zen platform. In fact, there is no theoretical limit to the number we could, but 20 to 30 is quite typical now. That enables us to manage all the different network elements, different types of mobile technologies, LTE, 3G, and 2G. It could be Ericsson, Nokia, Huawei, ZTE, or Alcatel-Lucent. There is an amazing range of equipment, all currently managed through separate entities. We’re offering a platform to pull it all together in one unit.
The other way I tend to look at it is that we’re trying to turn the telcos into how you might view a human. We take the humans as the best decision-making platforms in the world and we probably still could claim that. As humans, we have conscious and unconscious processes running. We don’t think about breathing or pumping our blood around our system, but it’s happening all the time.
We have senses that are pulling in massive amount of information from the outside world. You’re listening to me now. You’re probably doing a bunch of other things while you are tapping away on a table as well. They’re getting senses of information there and you are seeing, and hearing, and feeling, and touching, and tasting.
Those all contain information that’s coming into the body, but most of the activity is subconscious. In the world of big data, this is the Zen goal, and what we’re delivering in a number of places is to make as many actions as possible in a telco environment, as in a network environment, come to that automatic, subconscious state.
Suppose I have a problem on a network. I relate it back to the people who need to know, but I don’t require human intervention. We’re looking a position where the human intervention is looking at patterns in that information to decide what they can do intellectually to make the business better.
That probably speaks to another point here. We use a solution with visualization, because in the world of big data, you can’t understand data in numbers. Your human brain isn’t capable of processing enough, but it is capable of identifying patterns of pictures, and that’s where we go with our visualization technology.
Gather and use data
We have a customer who is one of the largest telcos in EMEA. They’re basically taking in 90,000 alarms from the network a day, and that’s their subsidiary companies, all into one environment. But 90,000 alarms needing manual intervention is a very big number.
Using the Zen technology, we’ve been able to reduce that to 10,000 alarms. We’ve effectively taken 90 percent of the manual processing out of that environment. Now, 10,000 is still a lot of alarms to deal with, but it’s a lot less frightening than 90,000, and that’s a real impact in human terms.
Gardner: Now that we understand what you do, let’s get into how you do it. What’s beneath the covers in your Zen system that allows you to confidently say you can take any volume of data you want?
Stubley: Fundamentally, that comes down to the architecture we built for Zen. The first element is our data-integration layer. We have a technology that we developed over the last 10 years specifically to capture data in telco networks. It’s real-time and rugged and it can deal with any volume. That enables us to take anything from the network and push it into our real-time database, which is HP’s Vertica solution, part of the HP HAVEn family.
Vertica analysis is to basically record any amount of data in real time and scale automatically on the HP hardware platform we also use. If we need more processing power, we can add more services to scale transparently. That enables us to get any amount of data, which we can then process.
We have two processing layers. Referring to our earlier discussion about conscious and subconscious activity, our conscious activity is visualizing that data, and that’s done with Tableau.
We have a number of Tableau reports and dashboards with each of our product solutions. That enables us to envision what’s happening and allows the organization, the guys running the network, and the guys looking at different elements in the data to make their own decisions and identify what they might do.
We also have a streaming analytics engine that listens to the data as it comes into the system before it goes to Vertica. If we spot the patterns we’ve identified earlier “subconsciously,” we’ll then act on that data, which may be reducing an alarm count. It may be "actioning" something.
It may be sending someone an email. It may be creating a trouble ticket on a different system. Those all happen transparently and automatically. It’s four layers simplifying the solution: data capture, data integration, visualization, and automatic analytics.
Developing high value
Gardner: And when you have the confidence to scale your underlying architecture and infrastructure, when you are able to visualize and develop high value to a vertical industry like a telco, this allows you to then expand into more lines of business in terms of products and services and also expand into move vertical. Where have you taken this in terms of the Zen family and then where do you take this now in terms of your market opportunity?
Stubley: We focus on mobile telcos. That’s our heritage. We can take any data source from a telco, but we can actually take any data source from anywhere, in any platform and any company. That ranges from binary to HTML. You name it, and if you’ve got data, we could load it.
That means we can build our processing accordingly. What we do is position what we call solution packs, and a solution pack is a connector to the outside world, to the network, and it grabs the data. We’ve got an element of data modeling there, so we can load the data into Vertica. Then, we have already built reports in Tableau that allows us to interrogate automatically. That’s at a component level.
Once you go to a number of components, we can then look horizontally across those different items and look at the behaviors that interact with each other. If you are looking at pure telco terms, we would be looking at different network devices, the end-to-end performance of the network, but the same would apply to a fraud scenario or could apply to someone who is running cable TV.
So multi-play players are interesting because they want to monitor what’s happening with TV as well and that will fit in exactly in the same category. Realistically, anybody with high-volume, real-time data can take benefit from Vertica.
Another interesting play in this scenario is social gaming and online advertising. They all have similar data characteristics, very high volume and fixed data that needs to be analyzed and processed automatically.
Gardner: How long have you been using Vertica, and what is it that drove you to using it vis-à-vis alternatives?
Stubley: As far as the Zen family goes, we have used other technologies in the past, other relational databases, but we’ve used Vertica now for more than two-and-a-half years. We were looking for a platform that can scale and would give us real-time data. At the volumes we were looking at nothing could compete with Vertica at a sensible price. You can build yourself any solid solution with enough money, but we haven’t got too many customers who are prepared to make that investment.
So Vertica fits in with the technology of the 21st century. A lot of the relational database appliances are using 1980 thought processes. What’s happened with processing in the last few years is that nobody shares memory anymore, and our environment requires a non-shared memory solution. Vertica has been built on that basis. It was scaled without limit.
One of the areas we’re looking at that I mentioned earlier was social media. Social media is a very natural play for Hadoop, and Hadoop is clearly a very cost-effective platform for vast volumes of data at real-time data load, but very slow to analyze.
So the combination with a high-volume, low-cost platform for the bulk of data and a very high performing real-time analytics engine is very compelling. The challenge is going to be moving the data between the two environments. That isn’t going to go away. That’s not simple, and there is a number of approaches. HP Vertica is taking some.
There is Flex Zone, and there are any number of other players in that space. The reality is that you probably reach an environment where people are parallel loading the Hadoop and the Vertica. That’s what we probably plan to do. That gives you much more resilience. So for a lot of the data we’re putting into our system, we’re actually planning to put the raw data files into Hadoop, so we can reload them as necessary to improve the resilience of the overall system, too.
You may also be interested in:
- HP network management heightens performance while reducing total costs for Nordic telco TDC
- How Capgemini's UK financial services unit helps clients manage risk using big data analysis
- Perfecto Mobile goes to cloud-based testing so developers can build the best apps faster
- Network virtualization eases developer and operations snafus in the mobile and cloud era
- Big data should eclipse cloud as priority for enterprises
- Big data’s big payoff arrives as customer experience insights drive new business advantages
- How healthcare SaaS provider PointClickCare masters quality and DevOps using cloud ITSM
- Software security pays off: How Heartland Payment Systems gains steep ROI via software assurance tools and methods
- HP ART documentation and readiness tools bring better user experiences to Nordic IT solutions provider EVRY
- NASCAR attains intimacy and affinity with fans worldwide using big data analytics
- HP HAVEn CTO Mundada on new ways for businesses to gain transformation from big data and new wave analysis
- Fast-changing demands on data centers drive need for uber data center infrastructure management
- Istanbul-based Finansbank manages risk and security using HP ArcSight, Server Automation
- HP Access Catalog smooths the way for streamlined deployment of mobile apps
- HP adds new value to Vertica data analytics platform with community marketplace
- Network virtualization eases developer and operations snafus in the mobile and cloud era
DevOps is being widely accepted (if not fully adopted) as essential in enterprise IT. But as Enterprise DevOps gains maturity, expands scope, and increases velocity, the need for data-driven decisions across teams becomes more acute. DevOps teams in any modern business must wrangle the ‘digital exhaust’ from the delivery toolchain, "pervasive" and "cognitive" computing, APIs and services, mobile devices and applications, the Internet of Things, and now even blockchain. In this power panel at @...
Oct. 22, 2016 07:45 PM EDT Reads: 1,812
Without lifecycle traceability and visibility across the tool chain, stakeholders from Planning-to-Ops have limited insight and answers to who, what, when, why and how across the DevOps lifecycle. This impacts the ability to deliver high quality software at the needed velocity to drive positive business outcomes. In his general session at @DevOpsSummit at 19th Cloud Expo, Eric Robertson, General Manager at CollabNet, will discuss how customers are able to achieve a level of transparency that e...
Oct. 22, 2016 07:00 PM EDT Reads: 757
SYS-CON Events announced today that SoftNet Solutions will exhibit at the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. SoftNet Solutions specializes in Enterprise Solutions for Hadoop and Big Data. It offers customers the most open, robust, and value-conscious portfolio of solutions, services, and tools for the shortest route to success with Big Data. The unique differentiator is the ability to architect and ...
Oct. 22, 2016 06:45 PM EDT Reads: 609
"Matrix is an ambitious open standard and implementation that's set up to break down the fragmentation problems that exist in IP messaging and VoIP communication," explained John Woolf, Technical Evangelist at Matrix, in this SYS-CON.tv interview at @ThingsExpo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
Oct. 22, 2016 06:00 PM EDT Reads: 8,955
In past @ThingsExpo presentations, Joseph di Paolantonio has explored how various Internet of Things (IoT) and data management and analytics (DMA) solution spaces will come together as sensor analytics ecosystems. This year, in his session at @ThingsExpo, Joseph di Paolantonio from DataArchon, will be adding the numerous Transportation areas, from autonomous vehicles to “Uber for containers.” While IoT data in any one area of Transportation will have a huge impact in that area, combining sensor...
Oct. 22, 2016 05:30 PM EDT Reads: 479
Established in 1998, Calsoft is a leading software product engineering Services Company specializing in Storage, Networking, Virtualization and Cloud business verticals. Calsoft provides End-to-End Product Development, Quality Assurance Sustenance, Solution Engineering and Professional Services expertise to assist customers in achieving their product development and business goals. The company's deep domain knowledge of Storage, Virtualization, Networking and Cloud verticals helps in delivering ...
Oct. 22, 2016 05:30 PM EDT Reads: 967
SYS-CON Events announced today that 910Telecom will exhibit at the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Housed in the classic Denver Gas & Electric Building, 910 15th St., 910Telecom is a carrier-neutral telecom hotel located in the heart of Denver. Adjacent to CenturyLink, AT&T, and Denver Main, 910Telecom offers connectivity to all major carriers, Internet service providers, Internet backbones and ...
Oct. 22, 2016 04:00 PM EDT Reads: 3,582
Extreme Computing is the ability to leverage highly performant infrastructure and software to accelerate Big Data, machine learning, HPC, and Enterprise applications. High IOPS Storage, low-latency networks, in-memory databases, GPUs and other parallel accelerators are being used to achieve faster results and help businesses make better decisions. In his session at 18th Cloud Expo, Michael O'Neill, Strategic Business Development at NVIDIA, focused on some of the unique ways extreme computing is...
Oct. 22, 2016 04:00 PM EDT Reads: 3,843
In his general session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed cloud as a ‘better data center’ and how it adds new capacity (faster) and improves application availability (redundancy). The cloud is a ‘Dynamic Tool for Dynamic Apps’ and resource allocation is an integral part of your application architecture, so use only the resources you need and allocate /de-allocate resources on the fly.
Oct. 22, 2016 04:00 PM EDT Reads: 3,655
In the next five to ten years, millions, if not billions of things will become smarter. This smartness goes beyond connected things in our homes like the fridge, thermostat and fancy lighting, and into heavily regulated industries including aerospace, pharmaceutical/medical devices and energy. “Smartness” will embed itself within individual products that are part of our daily lives. We will engage with smart products - learning from them, informing them, and communicating with them. Smart produc...
Oct. 22, 2016 03:45 PM EDT Reads: 1,441
More and more brands have jumped on the IoT bandwagon. We have an excess of wearables – activity trackers, smartwatches, smart glasses and sneakers, and more that track seemingly endless datapoints. However, most consumers have no idea what “IoT” means. Creating more wearables that track data shouldn't be the aim of brands; delivering meaningful, tangible relevance to their users should be. We're in a period in which the IoT pendulum is still swinging. Initially, it swung toward "smart for smar...
Oct. 22, 2016 03:45 PM EDT Reads: 649
In his keynote at 19th Cloud Expo, Sheng Liang, co-founder and CEO of Rancher Labs, will discuss the technological advances and new business opportunities created by the rapid adoption of containers. With the success of Amazon Web Services (AWS) and various open source technologies used to build private clouds, cloud computing has become an essential component of IT strategy. However, users continue to face challenges in implementing clouds, as older technologies evolve and newer ones like Docke...
Oct. 22, 2016 03:30 PM EDT Reads: 2,244
WebRTC sits at the intersection between VoIP and the Web. As such, it poses some interesting challenges for those developing services on top of it, but also for those who need to test and monitor these services. In his session at WebRTC Summit, Tsahi Levent-Levi, co-founder of testRTC, reviewed the various challenges posed by WebRTC when it comes to testing and monitoring and on ways to overcome them.
Oct. 22, 2016 03:00 PM EDT Reads: 3,894
In his session at 19th Cloud Expo, Claude Remillard, Principal Program Manager in Developer Division at Microsoft, will contrast how his team used config as code and immutable patterns for continuous delivery of microservices and apps to the cloud. He will show the immutable patterns helps developers do away with most of the complexity of config as code-enabling scenarios such as rollback, zero downtime upgrades with far greater simplicity. He will also have live demos of building immutable pipe...
Oct. 22, 2016 02:45 PM EDT Reads: 1,501
Rapid innovation, changing business landscapes, and new IT demands force businesses to make changes quickly. In the eyes of many, containers are at the brink of becoming a pervasive technology in enterprise IT to accelerate application delivery. In this presentation, you'll learn about the: The transformation of IT to a DevOps, microservices, and container-based architecture What are containers and how DevOps practices can operate in a container-based environment A demonstration of how Docke...
Oct. 22, 2016 02:45 PM EDT Reads: 1,541