Taneja Group | Multi-tenancy
Join Newsletter
Forgot
password?
Register
Trusted Business Advisors, Expert Technology Analysts

Items Tagged: Multi-tenancy

news

EMC World 2013: EMC ViPR has vendor on software-defined storage route

EMC World 2013 opened today with the launch of EMC ViPR, the company's software-defined storage technology that combines storage virtualization and cloud management.

  • Premiered: 05/06/13
  • Author: Taneja Group
  • Published: Tech Target: Search Storage
Topic(s): TBA Storage Virtualization TBA Virtualization TBA Cloud Management TBA Virtual Appliance TBA Amazon S3 TBA OpenStack TBA EMC TBA EMC Atmos TBA VMware vSphere TBA VMWare TBA VM TBA Virtual Machine TBA Multi-tenancy TBA metering
Profiles/Reports

Now Big Data Works for Every Enterprise: Pepperdata Adds Missing Performance QoS to Hadoop

While a few well-publicized web 2.0 companies are taking great advantage of foundational big data solution that they have themselves created (e.g. Hadoop), most traditional enterprise IT shops are still thinking about how to practically deploy their first business-impacting big data applications – or have dived in and are now struggling mightily to effectively manage a large Hadoop cluster in the middle of their production data center. This has led to the common perception that realistic big data business value may yet be just out of reach for most organizations – especially those that need to run lean and mean on both staffing and resources.   

This new big data ecosystem consists of scale-out platforms, cutting-edge open source solutions, and massive storage that is inherently difficult for traditional IT shops to optimally manage in production – especially with still evolving ecosystem management capabilities. In addition, most organizations need to run large clusters supporting multiple users and applications to control both capital and operational costs. Yet there are no native ways to guarantee, control, or even gain visibility into workload-level performance within Hadoop. Even if there wasn’t a real high-end skills and deep expertise gap for most, there still isn’t any practical way that additional experts could tweak and tune mixed Hadoop workload environments to meet production performance SLA’s.

At the same time, the competitive game of mining of value from big data has moved from day-long batch ELT/ETL jobs feeding downstream BI systems, to more user interactive queries and business process “real time” applications. Live performance matters as much now in big data as it does in any other data center solution. Ensuring multi-tenant workload performance within Hadoop is why Pepperdata, a cluster performance optimization solution, is critical to the success of enterprise big data initiatives.

In this report we’ll look deeper into today’s Hadoop deployment challenges and learn how performance optimization capabilities are not only necessary for big data success in enterprise production environments, but can open up new opportunities to mine additional business value. We’ll look at Pepperdata’s unique performance solution that enables successful Hadoop adoption for the common enterprise. We’ll also examine how it inherently provides deep visibility and reporting into who is doing what/when for troubleshooting, chargeback and other management needs. Because Pepperdata’s function is essential and unique, not to mention its compelling net value, it should be a checklist item in any data center Hadoop implementation.

To read this full report please click here.

Publish date: 12/17/15
news

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
news

Gridstore, DCHQ merge, focus on DevOps storage

Gridstore hyper-converged hardware and DCHQ data container software merge into HyperGrid to sell storage nodes or cloud targets for DevOps and persistent container storage.

  • Premiered: 07/25/16
  • Author: Taneja Group
  • Published: TechTarget: Search Converged Infrastructure
Topic(s): TBA Gridstore TBA HyperGrid TBA hyper-converged TBA DCHQ TBA DevOps TBA container storage TBA Storage TBA HCaaS TBA Hyper-V TBA Hypervisor TBA HyperForm TBA Multi-tenancy TBA multi-tenant storage TBA Amazon AWS TBA AWS TBA Amazon TBA Rancher Labs TBA ITOps TBA VMWare TBA VMware vSphere TBA vSphere TBA OpenStack TBA CloudStack TBA ROBO TBA Virtual Desktop Infrastructure TBA VDI TBA Mike Matchett TBA Big Data TBA Cloud TBA Docker
news

Datera Announces Next-Generation Elastic Data Fabric to Simplify Data Storage for Enterprise

Datera Continues to Elevate the Data Storage Landscape by Enabling Continuous and Faster App Delivery, Massive Scalability and Price-Performance Flexibility for All Apps and Infrastructure Stacks.

  • Premiered: 09/27/16
  • Author: Taneja Group
  • Published: MarketWatch
Topic(s): TBA Storage TBA Datera TBA scalable TBA scalability TBA Private Cloud TBA Public Cloud TBA flexibility TBA Data Storage TBA data storage management TBA Storage Management TBA enterprise cloud TBA Cloud TBA VMWare TBA vCenter TBA Microsoft TBA Microsoft SQL TBA SQL TBA Microsoft Exchange TBA SharePoint TBA MySQL TBA Cassandra TBA MongoDB TBA Docker TBA Docker Swarm TBA Google TBA Google Kubernetes TBA Dell TBA DevOps TBA software-defined TBA Software-Defined Data Center
news

Startup Datera stretches Elastic Data Fabric with all-flash nodes

Datera Elastic Data Fabric qualifies Dell PowerEdge servers, adds all-flash nodes, and increases scaling to 50 nodes and 5 PB raw capacity per cluster.

  • Premiered: 09/29/16
  • Author: Taneja Group
  • Published: TechTarget: Search Cloud Storage
Topic(s): TBA Storage TBA Datera TBA Jeff Kato TBA Dell TBA PowerEdge TBA all-flash TBA SSD TBA cluster TBA software-defined TBA software-defined storage TBA SDS TBA Multi-tenancy TBA Encryption TBA Compression TBA Cloud TBA iSCSI TBA Block Storage TBA Elastic Block Storage TBA Amazon TBA Amazon EBS TBA NVMe TBA Flash TBA Hybrid TBA Data Management TBA distributed data TBA NVDIMM TBA NVRAM TBA SAS TBA Automation TBA replication
news

IT management as a service is coming to a data center near you

IT management as a service uses big data analytics and vendors' expertise to ease the IT administration and optimization process. IT orgs must trust the flow of log and related data into an offsite, multi-tenant cloud.

  • Premiered: 10/18/16
  • Author: Mike Matchett
  • Published: TechTarget: Search IT Operations
Topic(s): TBA Data Center TBA Mike Matchett TBA Big Data TBA big data analytics TBA Multi-tenancy TBA Storage TBA Cloud TBA CAPEX TBA OPEX TBA Virtualization TBA Cloud Computing TBA hyperconverged TBA Hybrid Cloud TBA Public Cloud TBA cluster TBA cloud cluster TBA Performance Management TBA IaaS
news

What options exist for IT infrastructure management services?

What kinds of as-a-service IT management options are available? Are IT management services only coming from startups, or do established management software vendors have options?

  • Premiered: 10/18/16
  • Author: Mike Matchett
  • Published: TechTarget: Search IT Operations
Topic(s): TBA Cloud TBA Multi-tenancy TBA Hybrid Cloud TBA Storage TBA Private Cloud TBA ROBO TBA Exablox TBA Virtual Machine TBA Virtualization TBA VM TBA CloudPhysics TBA Galileo TBA Performance Explorer TBA Big Data TBA big data analytics TBA Machine Learning TBA Perspica TBA Microsoft TBA HPE TBA BMC TBA Riverbed TBA SteelCentral TBA IT Management TBA VMworld 2016 TBA VMWorld TBA VMWare TBA ServiceNow TBA HyperGrid TBA Provisioning TBA Galactic Exchange
Profiles/Reports

IBM Cloud Object Storage Provides the Scale and Integration Needed for Modern Genomics Infra.

For hospitals and medical research institutes, the ability to interpret genomics data and identify relevant therapies is key to provide better patient care through personalized medicine. Many such organizations are racing forward, analyzing patients’ genomic profiles to match more clinically actionable treatments using artificial intelligence (AI).

These rapid advancements in genomic research and personalized medicine are very exciting, but they are creating enormous data challenges for healthcare and life sciences organizations. High-throughput DNA sequencing machines can now process a human genome in a matter of hours at a cost approaching one thousand dollars. This is a huge drop from a cost of ten million dollars ten years ago and means the decline in genome sequencing cost has outpaced Moore’s Law (see chart). The result is an explosion in genomic data – driving the need for solutions that can affordably and securely store, access, share, analyze and archive enormous amounts of data in a timely manner.

Challenges include moving large volumes of genomic data from cost-effective archival storage to low latency storage for analysis to reduce the time needed to analyze genetic data. Currently, it takes days to do a comprehensive DNA sequence analysis.

Sharing and interpreting vast amounts of unstructured data to find relationships between a patient’s genetic characteristics and potential therapies adds another layer of complexity. Determining connections requires evaluating data across numerous unstructured data sources, such as genomic sequencing data, medical articles, drug information and clinical trial data from multiple sources.

Unfortunately, the traditional file storage within most medical organizations doesn’t meet the needs of modern genomics. These systems can’t accommodate massive amounts of unstructured data and they don’t support both data archival and high-performance compute. They also don’t facilitate broad collaboration. Today, organizations require a new approach to genomics storage, one that enables:

  • Scalable and convenient cloud storage to accommodate rapid unstructured data growth
  • Seamless integration between affordable unstructured data storage, low latency storage, high performance compute, big data analytics and a cognitive healthcare platform to quickly analyze and find relationships among complex life science data types
  • A multi-tenant hybrid cloud to share and collaborate on sensitive patient data and findings
  • Privacy and protection to support regulatory compliance

Publish date: 03/22/17
news

Hyper-converged infrastructure products give data centers a boost

Hyper-converged products take your data center and network to new heights by leveraging industry-first infrastructure innovations to improve storage and more.

  • Premiered: 06/07/17
  • Author: Arun Taneja
  • Published: TechTarget: Search Converged Infrastructure
Topic(s): TBA Arun Taneja TBA hyperconverged infrastructure TBA HCI TBA hyperconverged TBA hyperconvergence TBA Data Center TBA Storage TBA VCE TBA converged TBA convergence TBA Dell EMC TBA NetApp TBA FAS TBA VNX TBA HPE TBA Nutanix TBA SimpliVity TBA Hedvig TBA Amazon Web Services TBA AWS TBA Microsoft Azure TBA Microsoft TBA SwiftStack TBA Cloud TBA Public Cloud TBA Cisco TBA HDS TBA Hitachi Data Systems TBA IBM TBA Compute
news

Object storage use cases coming to a data service near you

Object storage, unlike traditional file and block storage, is well-suited to manage vast amounts of unstructured data.

  • Premiered: 07/06/17
  • Author: Steve Ricketts
  • Published: TechTarget: Search Storage
Topic(s): TBA Steve Ricketts TBA object storage TBA Storage TBA Cloud TBA Block Storage TBA unstructured data TBA REST TBA Data Storage TBA web 2.0 TBA data analytics TBA Amazon TBA Amazon S3 TBA Cleversafe TBA IBM Cloud TBA IBM Cloud Object Storage TBA IBM TBA Scality TBA Western Digital TBA Private Cloud TBA Public Cloud TBA Hybrid Cloud TBA Backup TBA Archive TBA scalability TBA scalable TBA data retention TBA compliance TBA File Storage TBA Capacity TBA storage-as-a-service
news

Hybrid cloud technology gets the most out of primary storage workloads

Learn what to look for in a hybrid cloud platform so you can take advantage of the scalability, agility and cost benefits it has to offer primary storage.