Items Tagged: IoT
Proven ROI for Internet of Things (IoT) Data Center Infrastructure Market
Internet of Things (IoT) is a hot trend in today’s economy of connected devices. Every high-tech device in the data center industry – storage, servers, switches, application software, or any appliance – generates copius amounts of machine data that can be analyzed to help the manufacturer gain operational and strategic insights. These insights assist in reducing costs to support customers by lowering mean time to resolution (MTTR) per case. They also enable manufacturers to build and sell specific value add services to their customers with the objective of being proactive, predictive and prescriptive in front of their top enterprise accounts. Finally, deep insights can be gleaned off this kind of machine data analytics, if done the right way, to funnel strategic information onto future product roadmaps. All of these benefits are very quantifiable if there is a solution like Glassbeam in place in such markets.
This webinar will discuss the right elements of such a solution, lay out the foundation of ROI with specific benefits, and discuss a case study with a Fortune 100 account of Glassbeam.
- Premiered: 06/09/14 at 11 am PT/2 pm ET
- Location: OnDemand
- Speaker(s): Mike Matchett, Senior Analyst at Taneja Group; Puneet Pandit, Co-founder & CEO, Glassbeam
- Sponsor(s): Glassbeam, BrightTALK
Internet of Things data will boost storage
IT departments can benefit from storage vendors eavesdropping on their arrays to help them curb the amount of Internet of Things data inundating their storage shops.
- Premiered: 06/09/14
- Author: Mike Matchett
- Published: Tech Target: Search Storage
Make this your most modern IT year yet
No one sticks with their New Year's resolution -- where is that gym card anyway? -- but you can pick up seven modern habits and feel good about fit, healthy IT ops.
- Premiered: 01/13/15
- Author: Mike Matchett
- Published: Tech Target: Search Data Center
Data lakes swim with golden information for analytics
First we had data. Then we had big data. Now we have data lakes. Will the murky depths prove bountiful?
- Premiered: 04/14/15
- Author: Mike Matchett
- Published: TechTarget: Search Data Center
Qumulo Core: Data-Aware Scale-Out NAS Software (Product Profile)
Let's face it: Today’s storage is dumb. Mostly it is a dumping ground for data. As we produce more data we simply buy more storage and fill it up. We don't know who is using what storage at a given point in time, which applications are hogging storage or have gone rogue, what and how much sensitive information is stored, moved or accessed by whom, and so on. Basically, we are blind to whatever is happening inside that storage array. On the other hand, storage should just work, users of storage should see it as an endless invisible resource, while the administrators of storage should be able to unlock the value of data itself through real-time analytical insight, not fighting fires just to keep storage running and provisioned.
Storage systems these days are often quoted in petabytes and will eventually move to exabytes and beyond. Businesses are being crushed under the weight of this data sprawl and a new tsunami of data is coming their way as the Internet of Things fully comes online in the next decade. How are administrators dealing with this ever increasing appetite to store more data? It is time for a radical new approach to building a storage system, one that is aware of the information stored within while dramatically reducing the time administrators spend managing the system.
Welcome to the new era of data aware storage. This could not have come at a better time. Storage growth, as we all know, is out of control. Granted the cost per GB keeps falling at about a 40% per year rate, but we keep growing capacity at about a 60% growth rate. This causes both the cost and capacity to keep increasing every year. While cost increase is certainly an issue, the bigger issue is manageability. And not knowing what we have buried in those mounds of data is a bigger issue. Instead of data being an asset, it is a dead weight that keeps getting heavier. If we didn’t do something about it, we would simply be overwhelmed, if we are not already.
The question we ask is why is it possible to develop data aware storage today when we couldn’t yesterday? The answer is simple: flash technology, virtualization, and the availability of “free” CPU cycles make it possible for us to build storage today that can do a lot of heavy lifting from the inside. While this was possible yesterday, if implemented, it would have slowed down the performance of primary storage to a point where it would be useless. So, in the past, we simply let it store data. But today, we can build in a lot of intelligence without impacting performance or quality of service. We call this new type of storage Data Aware Storage.
When implemented correctly, data aware storage can provide insights that were not possible yesterday. It would reduce risk for non-compliance. It would improve governance. It would automate many of the storage management processes that are manual today. It would provide insights into how well the storage is being utilized. It would identify if a dangerous situation was about to occur, either for compliance or capacity or performance or SLA. You get the point. Storage that is inherently smart and knows: what type of data it has, how it is growing, who is using it, who is abusing it, and so on.
In this profile, we dive deep into a new technology, called Qumulo Core, the industry’s first data-aware scale-out NAS platform. Qumulo Core promises to radically change the scale-out NAS product category by using built-in data awareness to massively scale a distributed file system, while at the same time radically reducing the time to administer a system than can hold billions of files. File systems in the past could not scale to this level because administrative tools would crush under the weight of the system.
Converged IT Infrastructure's Place in the Internet of Things
All of the trends leading towards the world-wide Internet of Things (IoT) – ubiquitous, embedded computing, mobile, organically distributed nodes, and far-flung networks tying them together - are also coming in full force into the IT data center. These solutions are taking the form of converged and hyperconverged modules of IT infrastructure. Organizations adopting such solutions gain from a simpler building-block way to architect and deploy IT, and forward-thinking vendors now have a unique opportunity to profit from subscription services that while delivering superior customer insight and support, also help build a trusted advisor relationship that promises an ongoing “win-win” scenario for both the client and the vendor.
There are many direct (e.g. revenue impacting) and indirect (e.g. customer satisfaction) benefits we mention in this report, but the key enabler to this opportunity is in establishing an IoT scale data analysis capability. Specifically, by approaching converged and hyperconverged solutions as an IoT “appliance”, and harvesting low-level component data on utilization, health, configuration, performance, availability, faults, and other end point metrics across the full worldwide customer base deployment of appliances, an IoT vendor can then analyze the resulting stream of data with great profit for both the vendor and each individual client. Top-notch analytics can feed support, drive product management, assure sales/account control, inform marketing, and even provide a revenue opportunity directly (e.g. offering a gold level of service to the end customer).
An IoT data stream from a large pool of appliances is almost literally the definition of “big data” – non-stop machine data at large scale with tremendous variety (even within a single converged solution stack) – and operating and maintaining such a big data solution requires a significant amount of data wrangling, data science and ongoing maintenance to stay current. Unfortunately this means IT vendors looking to position IoT oriented solutions may have to invest a large amount of cash, staff and resources into building out and supporting such analytics. For many vendors, especially those with a varied or complex convergence solution portfolio or established as a channel partner building them from third-party reference architectures, these big data costs can be prohibitive. However, failing to provide these services may result in large friction selling and supporting converged solutions to clients now expecting to manage IT infrastructure as appliances.
In this report, we’ll look at the convergence and hyperconvergence appliance trend, and the increasing customer expectations for such solutions. In particular we’ll see how IT appliances in the market need to be treated as complete, commoditized products as ubiquitous and with the same end user expectations as emerging household IoT solutions. In this context, we’ll look at Glassbeam’s unique B2B SaaS SCALAR that converged and hyperconverged IT appliance vendors can immediately adopt to provide an IoT machine data analytic solution. We’ll see how Glassbeam can help differentiate amongst competing solutions, build a trusted client relationship, better manage and support clients, and even provide additional direct revenue opportunities.
Glassbeam Enters Converged and Hyper Converged Infrastructure Market
Company's Ground Breaking Machine Data Analytics Solution Already in Production With Two Leading Product Vendors
- Premiered: 08/31/15
- Author: Taneja Group
- Published: MarketWatch
Scale-out architecture and new data protection capabilities in 2016
What are the next big things for the data center in 2016? Applications will pilot the course to better data protection and demand more resources from scale-out architecture.
- Premiered: 02/17/16
- Author: Mike Matchett
- Published: TechTarget: Search Data Center
Making Sense of the Internet of Things with Converged Infrastructure
With its flexibility and scalability, converged infrastructure can be a good solution to the influx of IoT data.
- Premiered: 03/22/16
- Author: Taneja Group
- Published: Windows IT Pro
Galactic Exchange can get your Hadoop cluster up and running in just 5 minutes
Stealthy startup Galactic Exchange Inc. burst out of the shadows this weekend touting a new product that’s able to spin up an Hadoop or Spark cluster, ready to go, in just five minutes.
- Premiered: 03/28/16
- Author: Taneja Group
- Published: Silicon Angle
Qumulo Core updated, 10 TB helium drives supported
Qumulo's data-aware Core 2.0 supports 10 TB helium hard drives, erasure coding for faster drive rebuilds and analytics to solve capacity bottleneck mysteries.
- Premiered: 04/12/16
- Author: Taneja Group
- Published: TechTarget: Search Storage
Practical Datacenter IT For The Deluge of IoT
Come join Senior Analyst Mike Matchett's lively discussion about the concerns and challenges coming when the Internet of Things crashes into our enterprise datacenters. We think big data today is big, but future IoT data streams promise to swamp everything from servers to storage. And today's new big data applications will still need to become more real-time, more agile, distributed and even more scalable. What's coming down the road, and how should we start planning for the future today?
This webcast will go for 30 minutes, followed by a 15 minute Q & A session, where the audience is welcome to ask questions.
- Premiered: 04/20/16
- Location: OnDemand
- Speaker(s): Mike Matchett, Sr. Analyst & Consultant, Taneja Group
CI and disaggregated server tech can converge after all
Converged IT and disaggregated servers are trends that work together. Learn how you can use both to optimize the performance and cost-efficiency of data center infrastructure.
- Premiered: 04/20/16
- Author: Mike Matchett
- Published: TechTarget: Search Data Center
Server Powered Storage: Intelligent Storage Arrays Gain Server Superpowers
At Taneja Group we are seeing a major trend within IT to leverage server and server-side resources to the maximum extent possible.
- Premiered: 05/05/16
- Author: Mike Matchett
- Published: InfoStor
Big data and IoT benefit from machine learning, AI apocalypse not Imminent
Enterprise gets more from its data and better predictive analytics with capable machine learning, but this AI still isn't good enough at finding meaningful patterns in data.
- Premiered: 05/19/16
- Author: Mike Matchett
- Published: TechTarget: Search IT Operations
Enterprise IoT: Experts Discuss Strategies
The Internet of Things is an emerging technology with a stunningly rapid growth curve. It’s predicted that nearly $6 trillion will be spent on IoT over the next five years. The lion’s share will spent by enterprise customers, who look to IoT to boost productivity, lower business costs, and help expand into additional markets. In recent QuinStreet research, more than half of survey respondents considered IoT to be critical to the growth and success of their organization.
In this video roundtable discussion, four IoT thought leaders discuss issues like security, analytics, deployment strategies, and the future of the IoT sector.
Panelists:
Mike Matchett, Senior Analyst & Consultant, Taneja Group
Nigel Upton, Worldwide Director & General Manager IoT/GCP, HPE
Jason Shepard, Director of IoT Strategy and Partnerships, Dell
Chris Preimesberger, Editor, Features & Analysis, eWeek
- Premiered: 06/16/16
- Location: OnDemand
- Speaker(s): Mike Matchett, Taneja Group; Nigel Upton, HPE; Jason Shepard, Dell; Chris Preimesberger, eWeek
IoT is Real – and Here to Stay
IoT technology is rapidly maturing, but consumer apps are in their infancy. It takes seeing to believe that IoT is real, and here to stay.
Business Have Numerous Digital Storage Options as Data Demands Surge
For organizations drowning in data, storage help is on the way in the form of hyperconverged, software-defined, cloud and all-flash solutions.
- Premiered: 07/19/16
- Author: Taneja Group
- Published: BizTech Magazine
What Pat Gelsinger Should Announce at VMworld 2016
Experts put themselves in the CEO's shoes for the keynote address.
- Premiered: 07/21/16
- Author: Taneja Group
- Published: Virtualization Review
When data storage infrastructure really has a brain
Big data analysis and the internet of things are helping produce more intelligent storage infrastructure.
- Premiered: 09/06/16
- Author: Mike Matchett
- Published: TechTarget: Search Storage