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Items Tagged: IT+infrastructure

Resources

Achieving ROI w/Infrastructure Performance Management

Taneja Group Field Study Report - Achieving ROI with Infrastructure Performance Management—How VI Customers Drive IT Innovation, Agility and Business Alignment

Today, mission-critical IT infrastructure teams are tasked to do more than ever before to maximize utilization, minimize cost and mitigate risk—while assuring availability and performance throughout perpetual migration, consolidation and expansion cycles. In this reality, a purpose-built, vendor independent platform that continuously monitors system-wide performance throughout heterogeneous environments without bias and in real-time can be a genuine competitive advantage.

In this webcast, we’ll talk about how customers from Telco, Financial Services, Retail, Technology, Manufacturing and Government verticals achieve significant IT and business value by implementing VirtualWisdom® Infrastructure Performance Management (IPM) to transform IT into a true business partner..

Join host Mike Matchett, Sr. Analyst and Consultant from the Taneja Group, and VI’s President of Customer Operations Sean Maxwell as they share customer insights on achieving ROI by:

*Demonstrably decreasing system-wide CAPEX and OPEX while getting more out of their existing assets
*Eliminating risk and troubleshooting performance slowdowns and application failures across the stack
*Aligning expenditures on server, switch and storage infrastructure with business and application requirements
*Proactively improving data center performance including mixed workloads and I/O
*Managing and monitoring multiple data centers and complex computing environments
*Creating customized dashboards and comprehensive reports on the end-to-end environment

Around the world, industry leaders in every major vertical rely on VirtualWisdom to guarantee performance and availability, quickly identify threats to service levels, and resolve their most complex performance challenges—all at a substantially lower total cost.

REGISTER for this webcast!

Click Here to download the Taneja Field Report

  • Premiered: 09/12/13 at 10am Pacific Time (1:00pm ET)
  • Location: OnDemand
  • Speaker(s): Mike Matchett
  • Sponsor(s): Virtual Instruments
Topic(s): TBA Topic(s): Virtual Instruments Topic(s): TBA Topic(s): Field Study Topic(s): TBA Topic(s): Field Report Topic(s): TBA Topic(s): IT infrastructure Topic(s): TBA Topic(s): ROI Topic(s): TBA Topic(s): VirtualWisdom Topic(s): TBA Topic(s): Infrastructure Performance Management Topic(s): TBA Topic(s): IPM Topic(s): TBA Topic(s): Mike Matchett Topic(s): TBA Topic(s): Sean Maxwell
news

In the Cloud Era, The Era of Convergence Is Upon Us

The era of IT infrastructure convergence is upon us. Every major vendor has some type of offering under this category. Startups and smaller players are also "talking" convergence. But what exactly is convergence and why are all the vendors so interested in getting included in this category? We will explain below the history of convergence, what it is, what it is not, what benefits accrue from such systems, who the players are, and who is leading the pack in true convergence.

  • Premiered: 06/10/14
  • Author: Arun Taneja
  • Published: Virtualization Review
Topic(s): TBA Arun Taneja TBA Virtualization Review TBA Virtualization TBA IT infrastructure TBA Converged Infrastructure TBA convergence TBA Networking TBA HDD TBA WANO TBA WAN Optimization TBA Data Deduplication TBA Deduplication TBA Hybrid Array TBA Hybrid TBA Cloud Computing TBA Cloud Storage TBA Storage TBA Cloud TBA Hadoop TBA Storage Virtualization TBA Compression TBA RTO TBA RPO TBA DR TBA Disaster Recovery TBA Remote Office TBA ROBO TBA Compute TBA hyperconvergence TBA Server Virtualization
Profiles/Reports

Software-defined Storage and VMware's Virtual SAN Redefining Storage Operations

The massive trend to virtualize servers has brought great benefits to IT data centers everywhere, but other domains of IT infrastructure have been challenged to likewise evolve. In particular, enterprise storage has remained expensively tied to a traditional hardware infrastructure based on antiquated logical constructs that are not well aligned with virtual workloads – ultimately impairing both IT efficiency and organizational agility.

Software-Defined Storage provides a new approach to making better use of storage resources in the virtual environment. Some software-defined solutions are even enabling storage provisioning and management on an object, database or per-VM level instead of struggling with block storage LUN’s or file volumes. In particular, VM-centricity, especially when combined with an automatic policy-based approach to management, enables virtual admins to deal with storage in the same mindset and in the same flow as other virtual admin tasks.

In this paper, we will look at VMware’s Virtual SAN product and its impact on operations. Virtual SAN brings both virtualized storage infrastructure and VM-centric storage together into one solution that significantly reduces cost compared to a traditional SAN. While this kind of software-defined storage alters the acquisition cost of storage in several big ways (avoiding proprietary storage hardware, dedicated storage adapters and fabrics, et.al.) here at Taneja Group what we find more significant is the opportunity for solutions like VMware’s Virtual SAN to fundamentally alter the on-going operational (or OPEX) costs of storage.

In this report, we will look at how Software-Defined Storage stands to transform the long term OPEX for storage by examining VMware’s Virtual SAN product. We’ll do this by examining a representative handful of key operational tasks associated with enterprise storage and the virtual infrastructure in our validation lab. We’ll examine the key data points recorded from our comparative hands-on examination, estimating the overall time and effort required for common OPEX tasks on both VMware Virtual SAN and traditional enterprise storage.

Publish date: 08/08/14
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5 cloud computing advantages (and 5 potential problems)

Cloud computing offers considerable advantages to businesses, but also comes with it’s fair share of risks. While the pros and cons vary by company, it’s important that you understand both sides before moving towards the cloud. Here are 5 of the biggest advantages, and 5 potential problems associated with cloud computing.

  • Premiered: 09/16/14
  • Author: Taneja Group
  • Published: MRC's Cup of Joe Blog
Topic(s): TBA Cloud TBA Cloud Computing TBA IT infrastructure TBA Cloud providers TBA flexibility TBA scalability TBA server TBA Mike Matchett TBA Application TBA cloud architecture TBA cloud vendor
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Siloing stifles data center growth

It's time to knock down those silos, one by one. IT is transforming from a siloed set of reactive cost centers into a service provider with a focus on helping the business compete.

  • Premiered: 09/16/14
  • Author: Mike Matchett
  • Published: Tech Target: Search Data Center
Topic(s): TBA Data Center TBA tech target TBA Mike Matchett TBA Virtualization TBA HP TBA StoreVirtual TBA StoreVirtual VSA TBA VSA TBA IT infrastructure TBA VMWare TBA VSAN TBA Virtual SAN TBA convergence TBA Hypervisor TBA VCE TBA Dell TBA IBM TBA hyper convergence TBA software defined infrastructure TBA Maxta TBA Hybrid
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In the Cloud Era, The Era of Convergence Is Upon Us

What exactly is convergence and what is making vendors scramble to get included in this category?

  • Premiered: 06/10/15
  • Author: Arun Taneja
  • Published: Virtualization Review
Topic(s): TBA IT infrastructure TBA convergence TBA Storage TBA HDD TBA WANO TBA WAN Optimization TBA Storage Virtualization TBA Virtualization TBA Cloud TBA Data Deduplication TBA Deduplication TBA Compression TBA Hybrid Array TBA Hybrid TBA Backup TBA Hadoop TBA Cloud Storage TBA Hybrid Cloud Storage TBA Hybrid Cloud TBA Capacity TBA Disaster Recovery TBA DR TBA RTO TBA RPO TBA hyperconvergence TBA hyperconverged TBA VCE TBA VMWare TBA Cisco TBA EMC
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
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OpsDataStore Unveils Industry's First Solution to Ensure Online Service Quality for Dynamic IT

OpsDataStore, the company delivering the first solution to improve online service quality across heterogeneous and rapidly changing applications and IT infrastructures, today announced the general availability of OpsDataStore 1.0 — the industry's first big data back end for all IT management data.

  • Premiered: 11/17/15
  • Author: Taneja Group
  • Published: Virtual-Strategy Magazine
Topic(s): TBA OpsDataStore TBA data TBA IT infrastructure TBA Storage TBA Performance TBA API TBA software-defined TBA Mike Matchett
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Can your cluster management tools pass muster?

The right designs and cluster management tools ensure your clusters don't become a cluster, er, failure.

  • Premiered: 11/17/15
  • Author: Mike Matchett
  • Published: TechTarget: Search Data Center
Topic(s): TBA cluster TBA Cluster Management TBA Cluster Server TBA Storage TBA Cloud TBA Public Cloud TBA Private Cloud TBA Virtual Infrastructure TBA Virtualization TBA hyperconvergence TBA hyper-convergence TBA software-defined TBA software-defined storage TBA SDS TBA Big Data TBA scale-up TBA CAPEX TBA IT infrastructure TBA OPEX TBA Hypervisor TBA Migration TBA QoS TBA Virtual Machine TBA VM TBA VMWare TBA VMware VVOLs TBA VVOLs TBA Virtual Volumes TBA cloud infrastructure TBA OpenStack
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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
Profiles/Reports

Scale Computing HC3: A Look at a Hyperconverged Appliance

Consolidation and enhanced management enabled by virtualization has revolutionized the practice of IT around the world over the past few years. By abstracting compute from the underlying hardware systems, and enabling oversubscription of physical systems by virtual workloads, IT has been able to pack more systems into the data center than before. Moreover, for the first time in seemingly decades, IT has also taken a serious leap ahead in management, as this same virtual infrastructure has wrapped the virtualized workload with better capabilities than ever before - tools like increased visibility, fast provisioning, enhanced cloning, and better data protection. The net result has been a serious increase in overall IT efficiency.

But not all is love and roses with the virtual infrastructure. In the face of serious benefits and consequent rampant adoption, virtualization continues to advance and bring about more capability. All too often, an increase in capability has come at the cost of complexity. Virtualization now promises to do everything from serving up compute instances, to providing network infrastructure and network security, to enabling private clouds. 

For certain, much of this complexity exists between the individual physical infrastructures that IT must touch, and the simultaneous duplication that virtualization often brings into the picture. Virtual and physical networks must now be integrated, the relationship between virtual and physical servers must be tracked, and the administrator can barely answer with certainty whether key storage functions, like snapshots, should be managed on physical storage systems or in the virtual infrastructure.

Scale Computing, an early pioneer in HyperConverged solutions, has released multiple versions of HC3 appliances and now includes the 6th generation of Scale’s HyperCore Operating System. Scale Computing continues to push the boundary in regards to simplicity, value and availability that many SMB IT departments everywhere have come to rely on.  HC3 is an integration of storage and virtualized compute within a scale-out building block architecture that couples all of the elements of a virtual data center together inside a hyperconverged appliance. The result is a system that is simple to use and does away with much of the complexity associated with virtualization in the data center. By virtualizing and intermingling compute and storage inside a system that is designed for scale-out, HC3 does away with the need to manage virtual networks, assemble complex compute clusters, provision and manage storage, and a bevy of other day to day administrative tasks. Provisioning additional resources - any resource - becomes one-click-easy, and adding more physical resources as the business grows is reduced to a simple 2-minute exercise.

While this sounds compelling on the surface, Taneja Group recently turned our Technology Validation service - our hands-on lab service - to the task of evaluating whether Scale Computing's HC3 could deliver on these promises in the real world. For this task, we put an HC3 cluster through the paces to see how well it deployed, how it held up under use, and what special features it delivered that might go beyond the features found in traditional integrations of discreet compute and storage systems.

While we did touch upon whether Scale's architecture could scale performance as well as capacity, we focused our testing upon how the seamless integration of storage and compute within HC3 tackles key complexity challenges in the traditional virtual infrastructure.

As it turns out, HC3 is a far different system than the traditional compute and storage systems that we've looked at before. HC3's combination of compute and storage takes place within a scale-out paradigm, where adding more resources is simply a matter of adding additional nodes to a cluster. This immediately brings on more storage and compute resources, and makes adapting and growing the IT infrastructure a no-brainer exercise. On top of this adaptability, virtual machines (VMs) can run on any of the nodes, without any complex external networking. This delivers seamless utilization of all datacenter resources, in a dense and power efficient footprint, while significantly enhancing storage performance.

Meanwhile, within an HC3 cluster, these capabilities are all delivered on top of a uniquely robust system architecture that can tolerate any failure - from a disk to an entire cluster node - and guarantee a level of availability seldom seen by mid-sized customers. Moreover, that uniquely robust, clustered, scale-out architecture can also intermix different generation of nodes in a way that will put an end to painful upgrades by reducing them to simply decommissioning old nodes as new ones are introduced.

HC3’s flexibility, ease of deployment, robustness and a management interface is the simplest and easiest to use that we have seen. This makes HC3 a disruptive game changer for SMB and SME businesses. HC3 stands to banish complex IT infrastructure deployment, permanently alter on-going operational costs, and take application availability to a new level. With those capabilities in focus, single bottom-line observations don’t do HC3 justice. In our assessment, HC3 may take as little as 1/10th the effort to setup and install as traditional infrastructure, 1/4th the effort to configure and deploy a virtual machine (VM) versus doing so using traditional infrastructure, and can banish the planning, performance troubleshooting, and reconfiguration exercises that can consume as much as 25-50% of an IT administrator’s time. HC3 is about delivering on all of these promises simultaneously, and with the additional features we'll discuss, transforming the way SMB/SME IT is done.

Publish date: 09/30/15
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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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5 Key Elements of Bimodal IT

These five technology trends make it possible for bimodal IT to bring new levels of speed, flexibility and innovation to launching IT services.

  • Premiered: 04/07/16
  • Author: Taneja Group
  • Published: BizTech Magazine
Topic(s): TBA Big Data TBA mobile computing TBA IT infrastructure TBA Data Center TBA Datacenter TBA webscale TBA hyperconverged TBA hyperconverged infrastructure TBA Cloud TBA Cloud Computing TBA Flash TBA SSD TBA flash storage TBA flexibility TBA Amazon TBA Facebook TBA Google TBA Microsoft TBA Deduplication TBA Nutanix TBA EMC TBA SDDC TBA Software-Defined Data Center TBA software-defined TBA Optimization
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Hyper-converged vendors offer new use cases, products

Hyper-converged market systems show they are ready to branch out beyond primary storage applications. In fact, it's happening now.

  • Premiered: 04/15/16
  • Author: Arun Taneja
  • Published: TechTarget: Search Converged IT
Topic(s): TBA hyper-converged TBA hyperconverged TBA hyperconvergence TBA Primary Storage TBA Storage TBA Nutanix TBA SimpliVity TBA scale-out TBA scale-out architecture TBA converged TBA convergence TBA HPE TBA ConvergedSystem TBA NetApp TBA FlexPod TBA VCE TBA Compute TBA Hypervisor TBA Virtualization TBA Mobility TBA Cloud TBA cloud integration TBA web-scale TBA web-scale storage TBA secondary storage TBA VM TBA VM centricity TBA VM-centric TBA Virtual Machine TBA WAN Optimization
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New Galileo Tag Manager Enhances Decision-Making for IT Infrastructure Performance Management

Innovative approach revolutionizes the way IT users visualize data center performance, configuration and capacity issues.

  • Premiered: 05/17/16
  • Author: Taneja Group
  • Published: Benzinga
Topic(s): TBA Galileo TBA IT infrastructure TBA Performance Management TBA ATS Group TBA Tag Manager TBA Virtualization TBA Multi-tenancy TBA multi-tenant storage TBA Storage TBA predictive analytics TBA server TBA SAN TBA Saas TBA intelligence TBA Optimization
Resources

Data Protection in the Era of Hyperconvergence

Hyperconvergence is a rapidly growing and evolving force in the IT infrastructure space. Emerging from the factory pre-configured racking programs of the big IT equipment suppliers, it quickly morphed into a variety of VM-centric architectures where compute, storage and networking (and more) are all integrated below the hypervisor and provide a unified platform to run virtual workloads on. The questions surrounding Data Protection are many: Is a DP mechanism even needed in a distributed cluster architecture that hyperconverged platforms typically drive? What’s the role of traditional backup software and appliances? Is physical server backup still important? What’s the optimum solution for backing up a hyperconverged platform? Is there an optimum solution?

In this presentation, some of today’s leading vendors will give their take on what the intersection of Hyperconvergence and Data Protection means for the end user.

Moderator:
Jim Whalen, Senior Analyst & Consultant, Taneja Group

Panelists:
Patrick Rogers, VP Marketing & Product Management, Cohesity
Jesse St Laurent, VP of Product Strategy, SimpliVity
Joe Noonan, Director, Software Product Management, Unitrends
Rick Vanover, Director of Technical Product Marketing, Veeam

  • Premiered: 08/17/16
  • Location: OnDemand
  • Speaker(s): Jim Whalen, Taneja Group; Patrick Rogers, Cohesity; Jesse St Laurent, SimpliVity; Joe Noonan, Unitrends; Rick Vanover, Veeam
Topic(s): TBA Topic(s): Jim Whalen Topic(s): TBA Topic(s): Cohesity Topic(s): TBA Topic(s): SimpliVity Topic(s): TBA Topic(s): Unitrends Topic(s): TBA Topic(s): Veeam Topic(s): TBA Topic(s): Hypervisor Topic(s): TBA Topic(s): Data protection Topic(s): TBA Topic(s): hyperconverged Topic(s): TBA Topic(s): hyperconvergence Topic(s): TBA Topic(s): IT infrastructure Topic(s): TBA Topic(s): Storage Topic(s): TBA Topic(s): Networking Topic(s): TBA Topic(s): Compute Topic(s): TBA Topic(s): Virtualization
news

What do IT administrator skills mean now?

In a world full of data-aware this and internet-connected that, deep IT administrator skills should be more in-demand than ever.

news

Going hyperconverged? Don't forget to burst into the cloud

Here’s a key benefit of that shiny new hyperconverged box you just bought: it’s supposed to speak the cloud’s language.

  • Premiered: 09/22/16
  • Author: Taneja Group
  • Published: The Register
Topic(s): TBA hyperconverged TBA hyperconvergence TBA hyperconverged infrastructure TBA Jeff Kato TBA Cloud TBA Private Cloud TBA Storage TBA API TBA Public Cloud TBA Azure TBA Amazon AWS TBA AWS TBA Hybrid Cloud TBA Compute TBA Security TBA cloud bursting TBA VDI TBA Disaster Recovery TBA DR TBA Backup TBA software-defined TBA software defined TBA REST API TBA REST TBA VM TBA Virtual Machine TBA Virtualization TBA IT infrastructure TBA DevOps TBA workflow automation
Profiles/Reports

Converging Hyperconvergence with Cloud: HyperGrid Rolls Out the Future of IT Today

A recent Taneja Group survey on IT infrastructure shows that Hyperconvergence is quickly becoming the preferred datacenter architecture of choice for traditionally oriented datacenters. Today well over half of IT decision-makers want to transition off legacy silo stacks of servers, storage, networking and complicated layers of integrating protocols into more seamless, more ideally cloud-like pools of easily and dynamically composable resources.

Furthermore, these IT organizations are discovering that in the transition to an on-premise modular, plug-and-play infrastructure they can also readily take advantage of hybrid cloud options and benefits. In fact, looking at it from the cloud side, HCI architectures are also attractive to many kinds of service providers who themselves desire a scalable, low OPEX infrastructure. 

The business and IT benefits of both hyperconvergence and hybrid cloud are undeniable. Who wouldn’t want better, faster, and cheaper? The IT dream for years has been to be able to host data and applications on-site as required, but when desired, transparently leverage cloud services – for cost optimization, bursting, DR, global access, mobile and web app support, etc.. Here at Taneja Group we’ve been looking for emerging solutions that demonstrate further evolution in IT architectures by further converging HyperConverged infrastructure with hybrid cloud operations.

Enter HyperGrid, a re-born Gridstore, delivering on just that vision.

Publish date: 08/31/16
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Data center storage architecture gets smarter with AI

Trends, such as event-triggered computing, as exemplified by Lambda Architectures, converge on data center storage to hasten data center intelligence evolution.

  • Premiered: 05/04/17
  • Author: Mike Matchett
  • Published: TechTarget: Search Storage
Topic(s): TBA Mike Matchett TBA Data Center TBA Storage TBA Artificial Intelligence TBA AI TBA Optimization TBA Automation TBA Big Data TBA Internet of Things TBA IoT TBA real-time data TBA big data analytics TBA analytics TBA AWS TBA Amazon TBA HDFS TBA Hadoop TBA Hadoop Distributed File System TBA cluster TBA structured data TBA unstructured data TBA converged TBA convergence TBA container TBA containerization TBA software-defined TBA Cloud TBA Hybrid Cloud TBA Machine Learning TBA CPU