Taneja Group | Data+Migration
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Trusted Business Advisors, Expert Technology Analysts

Items Tagged: Data+Migration

Profiles/Reports

SmartMoving Data Across the Enterprise - Product Profile

Effective data movement in the enterprise for creating cost effective “tiers” of storage and implementing lifecycle management is a huge challenge. We believe that Enigma Data Solutions steps away from the competition by offering a product that uses standard file system practices for file redirection, resides completely out of band, and avoids any kind of proprietary integration with enterprise storage, servers, or clients. Enigma Data Solution’s SmartMove is a fine example of the kind of technology that can set the enterprise free to move data, while avoiding vendor lock-in.

Publish date: 06/01/07
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Data migration best practices for SMBs: Choosing a data migration tool

Data migration projects are necessary to keep up with changing storage technologies and business needs. The challenge for small- to medium-sized businesses (SMBs) is finding data migration tools and services that fit within their budget, and are sophisticated and capable enough to get the job done.

  • Premiered: 04/25/11
  • Author: Taneja Group
  • Published: TechTarget: SearchSMBStorage.com
Topic(s): TBA SMBs TBA Data Migration
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AutoVirt Appoints Caesar Naples Vice President of Engineering; Launches Version 3.6 (v3.6) Global...

AutoVirt v3.6 Features Key Error Handling, Reporting, Intelligent Data Engine Placement and Migration Validation Enhancements Intended to Enable Faster and Easier Data Migrations

  • Premiered: 06/30/11
  • Author: Taneja Group
  • Published: Sys-con.com
Topic(s): TBA AutoVirt TBA Data Migration
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Considerations for cloud data migration and security

Cloud data migration is one of the biggest hurdles facing enterprises that want to take a stake in the cloud.

  • Premiered: 09/28/15
  • Author: Taneja Group
  • Published: TechTarget: Search Cloud Storage
Topic(s): TBA Mike Matchett TBA Cloud TBA Storage TBA data TBA Data Migration TBA Security TBA data security TBA cloud data migration TBA Enterprise TBA Hybrid Cloud TBA Hybrid TBA replication TBA compliance TBA Performance
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VMware vSphere 6 release good news for storage admins

VMware's vSphere 6 release shows that the vendor is aiming for a completely software-defined data center with a fully virtualized infrastructure.

  • Premiered: 10/05/15
  • Author: Arun Taneja
  • Published: TechTarget: Search Virtual Storage
Topic(s): TBA VMWare TBA VMware vSphere TBA vSphere TBA vSphere 6 TBA software-defined TBA Software-Defined Data Center TBA SDDC TBA Virtualization TBA virtualized infrastructure TBA VSAN TBA VVOLs TBA VMware VVOLs TBA Virtual Volumes TBA VMotion TBA high availability TBA Security TBA scalability TBA Data protection TBA replication TBA VMware PEX TBA Fault Tolerance TBA Virtual Machine TBA VM TBA Provisioning TBA Storage Management TBA SLA TBA 3D Flash TBA FT TBA vCPU TBA CPU
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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Iron Mountain Cloud Archive returns vendor to cloud storage

Iron Mountain was one of the first players in cloud storage, but exited the market early on. Now, it's back with a resurrected archive service based on EMC's ECS.

  • Premiered: 05/12/16
  • Author: Taneja Group
  • Published: TechTarget: Search Cloud Storage
Topic(s): TBA Iron Mountain TBA Cloud TBA cloud archive TBA Cloud Storage TBA Storage TBA EMC TBA ECS TBA elastic cloud TBA Virtual File Store TBA Archive Service Platform TBA S3 TBA Amazon TBA API TBA OpenStack TBA OpenStack Swift TBA EMC Atmos TBA Nasuni TBA Panzura TBA Seven10 TBA CTERA TBA CloudBoost TBA CloudArray TBA Isilon TBA CloudPool TBA Datacenter TBA SLA TBA compliance TBA Security TBA cloud backup TBA cloud data migration
news / Blog

To Avoid Cloud Lock-in, Ask the Right Questions Upfront

Moving apps and data to the public cloud can provide some real benefits, but you can't afford to have your IT assets stuck in a provider's cloud if it all goes wrong. Do your homework and demand answers to the right questions upfront, to avoid the headaches of potential lock-in down the road.

  • Premiered: 02/28/17
  • Author: Jeff Byrne
  • Published: Paraphrased from a Storage Magazine article published in November 2016
Topic(s): Cloud Lock-in Data Migration
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Primary Data DataSphere update improves scalability

Primary Data updates its DataSphere metadata engine to boost scalability and performance, support more hardware options, and connect to multiple Amazon S3-based cloud buckets.

  • Premiered: 03/09/17
  • Author: Taneja Group
  • Published: TechTarget: Search Storage
Topic(s): TBA primary data TBA data virtualization TBA Virtualization TBA Storage TBA scalability TBA Amazon S3 TBA S3 TBA Amazon TBA DataSphere TBA API TBA Cloud TBA Dell EMC TBA Isilon TBA NetApp TBA ONTAP TBA Linux TBA Data Migration TBA cloud bucket TBA clone TBA high availability TBA Automation TBA Metadata TBA NFS TBA SMB TBA VMWare TBA Virtual Machine TBA VM TBA Block Storage TBA object storage TBA NAS
Profiles/Reports

Companies Improve Data Protection and More with Cohesity

We talked to six companies that have implemented Cohesity DataProtect and/or the Cohesity DataPlatform. When these companies evaluated Cohesity, their highest priority was reducing storage costs and improving data protection. To truly modernize their secondary storage infrastructure, they also recognized the importance of having a scalable, all-in-one solution that could both consolidate and better manage their entire secondary data environment.

Prior to implementing Cohesity, many of the companies we interviewed had significant challenges with the high cost of their secondary storage. Several factors contributed to the high costs including the need to license multiple products, inadequate storage reduction, the need for professional services and extensive training, difficulty scaling and maintaining systems and adding capacity to expensive primary storage for lower-performance services, such as group file shares.

In addition to lower storage costs, all the companies we talked to also wanted a better data protection solution. Many companies were struggling with slow backup speeds, insufficient recovery times and cumbersome data archival methods. Solution complexity and high operational overhead was also a major issue. To address these issues, companies wanted a unified data protection solution that offered better backup performance, instant data recovery, simplified management, and seamless cloud integration for long-term data retention.

Companies also wanted to improve overall secondary storage management and they shared a common goal of combining secondary storage workloads under one roof. Depending on their environment and their operational needs, their objectives outside of data protection included providing self-service access to copies of production data for on-demand environments (such as test/dev), using secondary storage for file services and leveraging indexing and advanced search and analytics to find out-of-place confidential data and ensure data compliance.

Cohesity customers found that the key to addressing these challenges and needs is Cohesity’s Hyperconverged Secondary Storage. Cohesity is a pioneer of Hyperconverged Secondary Storage, a new category of secondary storage based on a webscale, distributed file system that scales linearly and provides global data deduplication and automatic indexing as well as advanced search and analytics and policy-based management of all secondary storage workloads. These capabilities combine to provide a single system that efficiently stores, manages, and understands all data copies and workflows residing in a secondary storage environment – whether the data is on-premises or in the cloud. There are no point products, therefore less complexity and lower licensing costs.

It’s a compelling value proposition, and importantly, every company we talked to stated that Cohesity has met and exceeded their expectations and has helped them rapidly evolve their data protection and overall secondary data management. To learn about each customer’s journey, we examined their business needs, their data center environment, their key challenges, the reasons they chose Cohesity, and the value they have derived. Read on to learn more about their experience.

Publish date: 04/28/17
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Use the cloud to enhance the functions of primary storage

Learn some of the best ways to leverage public cloud as a storage tier to complement primary storage and make data centers more efficient.

  • Premiered: 05/04/17
  • Author: Jeff Byrne
  • Published: TechTarget: Search Storage
Topic(s): TBA Storage TBA Cloud TBA Primary Storage TBA Public Cloud TBA Amazon TBA Amazon S3 TBA Simple Storage Service TBA Elastic Block Storage TBA Amazon EBS TBA Cloud Security TBA Security TBA Availability TBA Cloud Storage TBA Backup TBA Disaster Recovery TBA DR TBA Archive TBA cloud tiering TBA hybrid storage TBA IOPS TBA High Performance TBA SAN TBA SAS TBA latency TBA SATA TBA SATA drives TBA Migration TBA automated storage tiering TBA NVDIMM TBA SSD
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Persistent data storage in containerized environments

The most significant challenge to the rise of containerized applications is quickly and easily providing enterprise-class persistent storage for containers.

  • Premiered: 09/06/17
  • Author: Mike Matchett
  • Published: TechTarget: Search Storage
Topic(s): TBA Mike Matchett TBA Storage TBA container TBA container storage TBA cloud-scaled TBA Cloud TBA IoT TBA Internet of Things TBA scalability TBA scalable TBA containerization TBA hybrid infrastructure TBA Hybrid Cloud TBA microservices TBA persistent storage TBA Virtual Machine TBA VM TBA Virtualization TBA Docker TBA Kubernetes TBA Tectonic TBA Rancher TBA Snapshot TBA Snapshots TBA Backup TBA Disaster Recovery TBA DR TBA NFS TBA cluster TBA SAN
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SoftNAS Cloud architecture gets facelift, new features

SoftNAS Cloud architecture splits into distinct products for primary NAS, secondary storage and replication across clouds, and targets multicloud and hybrid cloud implementations.

  • Premiered: 10/05/17
  • Author: Taneja Group
  • Published: TechTarget: Search Storage
Topic(s): TBA SoftNAS TBA Jeff Kato TBA NAS TBA secondary storage TBA Storage TBA Cloud TBA replication TBA multi-cloud TBA Hybrid Cloud TBA cloud data platform TBA Data Migration TBA High Performance TBA Big Data TBA Backup TBA Archiving TBA cloud data management TBA WAN TBA WAN Optimization TBA AWS TBA Amazon Web Services TBA Microsoft TBA Microsoft Azure TBA IBM TBA Saas TBA NetApp TBA Oracle ZFS TBA ZFS TBA Disaster Recovery TBA DR TBA Amazon S3