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Items Tagged: Internet+of+Things

news / Blog

Mining the Data Your Clients Produce: Glassbeam SCALAR Lights Up Value

This week Glassbeam announced a new solution for vendors whose products in the hands of clients produce mountains of potentially valuable "back-end" data. Mining that data which can include streams of ongoing customer site configurations, usage, status, location or really any relevant sensor results can help drive vastly better customer support and satisfaction, new and timely revenue opportunities, and better informed product management decisions. It might seem straightforward to extract value out of big data once you have it, but trying to "home grow" processing and coherent analysis of PB's of "multi-structured" files to feed all those business processes by using IT logfile utilities or low-level Hadoop coding could take a big effort and fall far short of spectacular.

  • Premiered: 10/22/13
  • Author: Mike Matchett
Topic(s): Glassbeam Big Data machine data Internet of Things
news

The Internet of Things and Beyond: 5 Things We’ll Be Tracking for a Better Tomorrow

What the Internet of Things offers is this huge opportunity to build intelligent applications that can actively optimize and direct just about any system that is dynamically programmable. Here are the five types of things that are soon likely to be “sensorized” in your IT shop.

  • Premiered: 04/30/14
  • Author: Mike Matchett
  • Published: Virtualization Review
Topic(s): TBA Internet of Things TBA Big Data TBA SDDC TBA Software-Defined Data Center TBA software defined TBA analysis TBA Take Five
Resources

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
Topic(s): TBA Topic(s): Glassbeam Topic(s): TBA Topic(s): Internet of Things Topic(s): TBA Topic(s): IoT Topic(s): TBA Topic(s): Data Center Topic(s): TBA Topic(s): Infrastructure Topic(s): TBA Topic(s): analytics
news

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
Topic(s): TBA Mike Matchett TBA IoT TBA Internet of Things TBA Big Data TBA data sensor TBA Storage TBA Splunk TBA VMWare TBA vCenter TBA Log Insight TBA Automation TBA Glassbeam
news

Commodity storage has its place, but an all-flash architecture thrills

Every day we hear of budget-savvy IT folks attempting to leverage commodity servers and disks by layering on software-implemented storage services. But at the same time, and at some of the same datacenters, highly optimized flash-fueled acceleration technologies are racing in with competitive performance and compelling price comparisons.

  • Premiered: 09/05/14
  • Author: Mike Matchett
  • Published: Tech Target: Search Solid State Storage
Topic(s): TBA Storage TBA Flash TBA SSD TBA all flash array TBA All Flash TBA EMC TBA VNX TBA Cloud TBA Cloud Storage TBA object storage TBA XtremeIO TBA Pure Storage TBA Kaminario TBA HP TBA 3PAR TBA Violin Memory TBA Avalanche Technology TBA NAND TBA MRAM TBA Internet of Things
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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
Topic(s): TBA Big Data TBA hyperconvergence TBA Converged Infrastructure TBA predictive analytics TBA SDS TBA Software Defined Storage TBA software-defined storage TBA In-Memory TBA Caching TBA Infrastructure TBA Cloud TBA DR TBA Disaster Recovery TBA DRaaS TBA Disaster Recovery as a Service TBA IoT TBA Internet of Things TBA Virtual storage
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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
Topic(s): TBA data lake TBA analytics TBA Big Data TBA Mike Matchett TBA TechTarget TBA Hadoop TBA Business Intelligence TBA BI TBA OLAP TBA OLTP TBA NoSQL TBA SQL TBA Optimization TBA ETL TBA IoT TBA Internet of Things TBA MapR TBA Project Myriad TBA YARN TBA Virtualization TBA Business Continuity TBA Disaster Recovery TBA DR TBA BC TBA data swamp TBA BlueData TBA Dataguise TBA HDFS TBA Hadoop Distributed File System TBA IBM
Profiles/Reports

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.

Publish date: 05/14/15
Profiles/Reports

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.

Publish date: 08/18/15
news

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
Topic(s): TBA Glassbeam TBA converged TBA Converged Infrastructure TBA hyperconverged TBA hyperconvergence TBA hyper convergence TBA machine data TBA analytics TBA Big Data TBA Internet of Things TBA IoT TBA data analytics TBA Saas TBA SCALAR TBA Cloud
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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
Topic(s): TBA scale-out TBA Data protection TBA DP TBA scale-out architecture TBA analysis TBA Data Center TBA data lake TBA Hadoop TBA hadoop cluster TBA cluster TBA Backup TBA Talena TBA HPE TBA 3PAR TBA flat backup TBA Snapshot TBA Snapshots TBA StoreOnce TBA Oracle TBA Oracle ZDLRA TBA ZDLRA TBA Zero Data Loss Recovery Appliance TBA converged TBA convergence TBA Cloud TBA backup server TBA Virtualization TBA Storage TBA Big Data TBA Lustre
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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
Topic(s): TBA Internet of Things TBA IoT TBA converged TBA Converged Infrastructure TBA convergence TBA IT infrastructure TBA Servers TBA Storage TBA network TBA flexibility TBA scalability TBA Data protection TBA storage architecture TBA Hadoop TBA Apache TBA Spark TBA Apache Spark TBA structured data TBA Mike Matchett
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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
Topic(s): TBA Qumulo TBA Qumulo Core TBA data-aware TBA data awareness TBA NAS TBA erasure coding TBA analytics TBA Capacity TBA Hybrid TBA real-time analytics TBA data analytics TBA Performance TBA Block Storage TBA Data protection TBA DP TBA hybrid storage TBA DataGravity TBA scale-out TBA scale-out NAS TBA scale-out storage TBA Microsoft NetApp TBA NetApp TBA FAS TBA API TBA NFS TBA Arun Taneja TBA object storage TBA IoT TBA Internet of Things
Resources

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
Topic(s): TBA Topic(s): IoT Topic(s): TBA Topic(s): Internet of Things Topic(s): TBA Topic(s): Mike Matchett Topic(s): TBA Topic(s): Big Data Topic(s): TBA Topic(s): Data Center Topic(s): TBA Topic(s): big data analytics Topic(s): TBA Topic(s): scalable Topic(s): TBA Topic(s): scalability
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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
Topic(s): TBA converged TBA convergence TBA Optimization TBA Performance TBA Datacenter TBA Data protection TBA Converged Infrastructure TBA Oracle TBA SAP TBA Cloud TBA Storage TBA Compute TBA hyperconverged TBA hyperconvergence TBA scalability TBA software-defined TBA modularity TBA modular TBA scale-out TBA cluster TBA EMC TBA composability TBA OPEX TBA application performance TBA application performance management TBA Internet of Things TBA IoT TBA Google TBA AlphaGo TBA Big Data
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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
Topic(s): TBA Storage TBA Virtualization TBA Cloud TBA SAP TBA VMWare TBA NSX TBA CPU TBA hyperconverged TBA hyperconvergence TBA software-defined TBA Flash TBA SSD TBA SimpliVity TBA Gridstore TBA Nutanix TBA Scale Computing TBA TCO TBA ROBO TBA mobile TBA Riverbed TBA SteelFusion TBA Hybrid TBA Big Data TBA Internet of Things TBA IoT TBA Deduplication TBA scale-out TBA Infinio TBA Pernix TBA SanDisk
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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
Topic(s): TBA Mike Matchett TBA Storage TBA Big Data TBA IoT TBA Internet of Things TBA predictive analytics TBA Machine Learning TBA Artificial Intelligence TBA AI TBA deep learning TBA cloud hosting TBA Cloud TBA Microsoft TBA Twitter TBA Kik TBA GroupMe TBA Google TBA AlphaGo TBA CPU TBA predictive modeling TBA cluster TBA Microsoft Azure TBA Azure TBA AWS TBA Amazon AWS TBA Amazon Web Services TBA Google Cloud Platform
Resources

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
Topic(s): TBA Topic(s): Internet of Things Topic(s): TBA Topic(s): IoT Topic(s): TBA Topic(s): Big Data Topic(s): TBA Topic(s): analytics Topic(s): TBA Topic(s): data security Topic(s): TBA Topic(s): Security Topic(s): TBA Topic(s): data analytics
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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
Topic(s): TBA Mike Matchett TBA Storage TBA software-defined TBA Cloud TBA all-flash TBA All Flash TBA Big Data TBA big data analytics TBA IoT TBA Internet of Things TBA storage area networks TBA SAN TBA Capacity TBA LUN TBA Virtualization TBA Server Virtualization TBA software-defined storage TBA SDS TBA Cloud Storage TBA hyperconvergence TBA hyperconverged TBA VMWare TBA Nutanix TBA Hypervisor TBA Data protection TBA Block Storage TBA all flash array TBA AFA TBA Low latency TBA IBM
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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
Topic(s): TBA Mike Matchett TBA VMWorld TBA VMworld 2016 TBA EMC TBA Dell TBA Virtualization TBA vSphere TBA VMWare TBA Microsoft TBA Hyper-V TBA VMware VSAN TBA VSAN TBA ScaleIO TBA software-defined TBA software-defined storage TBA SDS TBA Hypervisor TBA SanDisk TBA FlashSoft TBA VAIO TBA Cloud TBA ESX TBA NSX TBA vRealize TBA Cloud Management TBA cluster TBA cloud cluster TBA Hybrid Cloud TBA cloud migration TBA VMotion