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Enterprise Storage Extensive Growth Opportunities by 2026

| openPR.com
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With the increased focus on virtualization and cost of operations; simplicity and convergence; and the cloud, enterprises are moving from traditional enterprise storage system to software-defined storage and cloud storage to provide cost effective real-time storage services. Therefore, it has been observed that traditional Enterprise Storage Systems market has declined over the past few years.

Most of the enterprises are implementing cloud based storage systems due to low cost and greater agility and it also observed that there are companies which follow the hybrid cloud strategy where traditional and cloud storage are used together. This approach fuel the demand for traditional enterprise storage system and cloud storage system where critical workloads can be managed securely.

Enterprises are seeking for more efficient storage systems, as increasing focus on digitization creates huge amount of data which fuel the demand for innovative storage solutions. It has been observed that smaller enterprises drive the cloud storage market and large enterprises drive hybrid approach storage.

A significant tool in containing storage costs in any cloud or hybrid cloud is the application of data reduction technology which can easily deploy in any cloud deployment. Permabit VDO delivers data reduction up to 85% in public, private or hybrid cloud.

Due to the rise in the volume of structured and unstructured data and the need to backup and archive the files at reduced costs also propel the market growth for enterprise storage systems.

By offering a better price and reducing infrastructure and management costs and providing the enhanced security features enterprise storage systems market witness with the growth in future.
Enterprise storage systems market is segmented on the basis of type of storage and regions.

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Data Reduction Technologies Reduce the Costs of Cloud Deployment

| Stock Market
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Enterprise IT organizations use cloud architectures to rapidly deploy resources and lower costs. By incorporating data reduction technologies in their architectures, organizations will accelerate deployment and reduce IT expenditures, say experts at Permabit Technology Corporation .

Data reduction is ideal for use by today’s enterprises choosing cloud-based deployments. With data reduction, organizations increase their agility and reduce costs since the technology reduces the footprint of data in transit and at rest. When data reduction is deployed at the operating system level, it is applicable to use in public cloud services or deploy in a company’s own private cloud.

“Organizations are under pressure to deliver digital transformation while reducing IT costs and are looking more and more to cloud as an answer,” said Tom Cook, Permabit CEO. “Our Virtual Data Optimizer (VDO) is the best and easiest way to deploy data reduction in every cloud deployment model.”

Permabit VDO provides the three key data reduction technologies needed to maximize storage savings, including: thin provisioning, data deduplication and compression. Implemented as a driver for the Linux device mapper, VDO operates at the same level in the Linux kernel as core data management services such as virtualization, data protection and encryption. VDO data reduction “just-works” regardless of whether the storage layers above are providing object-, block-, compute- or file-based access.

 

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Federal Agencies Optimize Data Centers by Focusing on Storage using Data Reduction

| fedtechmagazine.com
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In data centers, like any piece of real estate, every square foot matters.

“Any way we can consolidate, save space and save electricity, it’s a plus,” says the State Department’s Mark Benjapathmongkol, a division chief of the agency’s Enterprise Server Operation Centers.

In searching out those advantages, the State Department has begun investing in solid-state drives (SSDs), which provide improved performance while occupying substantially less space in data centers.

In one case, IT leaders replaced a disk storage system with SSDs and gained almost three racks worth of space, Benjapathmongkol says. Because SSDs are smaller and denser than hard disk drives (HDDs), IT staff don’t need to deploy extra hardware to meet speed requirements, resulting in massive space and energy savings.

Options for Simplifying Storage Management

Agencies can choose from multiple technology options to more effectively and efficiently manage their storage, says Greg Schulz, founder of independent analyst firm Server StorageIO. These options include: SSDs and cloud storage; storage features such as deduplication and compression, which eliminate redundancies and store data using less storage; and thin provisioning, which better utilizes available space, Schulz says.

Consider the Defense Information Systems Agency. During the past year, the combat support agency has modernized its storage environment by investing in SSDs. Across DISA’s nine data centers, about 80 percent of information is stored on SSD arrays and 20 percent is running on HDDs, says Ryan Ashley, DISA’s chief of storage.

SSDs have allowed the agency to replace every four 42U racks with a single 42U rack, resulting in 75 percent savings in floor space as well as reduced power and cooling costs, he says.

Deduplication Creates Efficiencies

Besides space savings and the fact that SSDs are faster than HDDs, SSDs bring additional storage efficiencies. This includes new management software that automates tasks, such as the provisioning of storage when new servers and applications are installed, Ashley says.

The management software also allows DISA to centrally manage storage across every data center. In the past, the agency used between four to eight instances of management software in individual data centers.

“It streamlines and simplifies management,” Ashley says. Automatic provisioning reduces human error and ensures the agency follows best practices, while central management eliminates the need for the storage team to switch from tool to tool, he says.

DISA also has deployed deduplication techniques to eliminate storing redundant copies of data. IT leaders recently upgraded the agency’s backup technology from a tape system to a disk-based virtual tape library. This type of approach can accelerate backup and recovery and reduce the amount of hardware needed for storage.

It also can lead to significant savings because DISA keeps backups for several weeks, meaning it often owns multiple copies of the same data. But thanks to deduplication efforts, the agency can store more than 140 petabytes of backup data with 14PB of hardware.

“It was a huge amount of floor space that we opened up by removing thousands of tapes,” says Jonathan Kuharske, DISA’s deputy of computing ecosystem.

Categorize Data to Go Cloud First

To comply with the government’s “Cloud First” edict, USAID began migrating to cloud services, including infrastructure and software services, about seven years ago.

Previously, USAID managed its own data centers and tiered its storage. But the agency moved its data to cloud storage three years ago, Gowen says, allowing USAID to provide reliable, cost-effective IT services to its 12,000 employees across the world. The agency, which declined to offer specific return on investment data, currently uses a dozen cloud providers.

“We carefully categorize our data and find service providers that can meet those categories,” says Gowen, noting categories include availability and security. “They just take care of things at an affordable cost.”

For its public-facing websites, the agency uses a cloud provider that has a content distribution network and can scale to handle sudden spikes in traffic.

In late 2013, a typhoon lashed the Philippines, killing at least 10,000 people. In the days following the disaster, President Obama announced USAID sent supplies including food and emergency shelter. Because the president mentioned USAID, about 40 million people visited the agency’s website. If USAID had hosted its own site, it would have crashed. But the cloud service provider handled the traffic, Gowen says.

Our service provider can scale instantaneously to 40 million users, and when visitors drop off, we scale back,” he says. “It’s all handled.”

 

Such transitions are becoming commonplace. Improving storage management is a pillar of the government’s effort to optimize data centers. To meet requirements from the Federal Information Technology Acquisition Reform Act (FITARA), the Data Center Optimization Initiative requires agencies transition to cost-effective infrastructure.

While agencies are following different paths, the result is nearly identical: simpler and more efficient storage management, consolidation, increased reliability, improved service and cost savings. The U.S. Agency for International Development, for example, has committed to cloud storage.

“Our customers have different needs. The cloud allows us to focus on categorizing our data based on those needs like fast response times, reliability, availability and security,” says Lon Gowen, USAID’s chief strategist and special advisor to the CIO. “We find the service providers that meet those category requirements, and then we let the service providers focus on the details of the technology.”

To read the complete article click on the link below;

 

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Cloud Economics Drive the IT Infrastructure of Tomorrow

| CloudPost
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The cloud continues to dominate IT as businesses make their infrastructure decisions based on cost and agility. Public cloud, where shared infrastructure is paid for and utilized only when needed, is the most popular model today. However, more and more organizations are addressing security concerns by creating their own private clouds. As businesses deploy private cloud infrastructure, they are adopting techniques used in the public cloud to control costs. Gone are the traditional arrays and network switches of the past, replaced with software-defined data centers running on industry standard servers.

Features which improve efficiency make the cloud model more effective by reducing costs and increasing data transfer speeds. One such feature which is particularly effective in cloud environments is inline data reduction. This is a technology that can be used to lower the costs of data in transit and at rest. In fact, data reduction delivers unique benefits to each model of cloud deployment.

For the entire article please click on the link below;

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Permabit VDO on a Linux Laptop – Great Performance and 5:1 Space Savings

| By: (56)

  I get asked about VDO performance all the time and I’ve written several posts about big systems where we’ve seen spectacular performance numbers including 8 GB/s throughput and 650,000 mixed random 4 KB IOPS.  But what about performance on smaller systems for developers?  How about a laptop? A couple weeks ago I installed VDO version 6 on my Lenovo X230 laptop running Red Hat Enterprise Linux 7.3 and here’s a…

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DR Journal

Cloud Economics drive the IT Infrastructure of Tomorrow

| Welcome to Disaster Recovery Journal
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The cloud continues to dominate IT as businesses make their infrastructure decisions based on cost and agility. Public cloud, where shared infrastructure is paid for and utilized only when needed, is the most popular model today. However, more and more organizations are addressing security concerns by creating their own private clouds. As businesses deploy private cloud infrastructure, they are adopting techniques used in the public cloud to control costs. Gone are the traditional arrays and network switches of the past, replaced with software-defined data centers running on industry standard servers.

Efficiency features make the cloud model more effective by reducing costs and increasing data transfer speeds. One such feature, which is particularly effective in cloud environments is inline data reduction. This is a technology that can be used to lower the costs of data in flight and at rest. In fact, data reduction delivers unique benefits to each of the cloud deployment models.

Public Clouds

The public cloud’s raison d’etre is its ability to deliver IT business agility, deployment flexibility and elasticity. As a result, new workloads are increasingly deployed in public clouds.  Worldwide public IT cloud service revenue in 2018 is predicted to be $127B.  

Data reduction technology minimizes public cloud costs. For example, deduplication and compression typically cut capacity requirements of block storage in enterprise public cloud deployments by up to 6:1.  These savings are realized in reduced storage consumption and operating costs in public cloud deployments.   

Consider AWS costs employing data reduction;

If you provision a 300 TB of EBS General Purpose SSD (gp2) storage for 12 hours per day over a 30 day month in a region that charges $0.10 per GB-month, you would be charged $15,000 for the storage.

With data reduction, that monthly cost of $15,000 would be reduced to $2,500.  Over a 12 month period you will save $150,000.   Capacity planning is a simpler problem when it is 1/6th its former size.  Bottom line, data reduction increases agility and reduces costs of public clouds.

One data reduction application that can readily be applied in public cloud is Permabit’s Virtual Disk Optimizer (VDO) which is a pre-packaged software solution that installs and deploys in minutes on Red Hat Enterprise Linux and Ubuntu LTS Linux distributions. To deploy VDO in Amazon AWS, the administrator provisions Elastic Block Storage (EBS) volumes, installs the VDO package into their VMs and applies VDO to the block devices represented for their EBS volumes.  Since VDO is implemented in the Linux device mapper, it is transparent to the applications installed above it.

As data is written out to block storage volumes, VDO applies three reduction techniques:

  1. Zero-block elimination uses pattern matching techniques to eliminate 4 KB zero blocks

  2. Inline Deduplication eliminates 4 KB duplicate blocks

  3. HIOPS Compression™ compresses remaining blocks 

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This approach results in remarkable 6:1 data reduction rates across a wide range of data sets. 

Private Cloud

Organizations see similar benefits when they deploy data reduction in their private cloud environments. Private cloud deployments are selected over public because they offer the increased flexibility of the public cloud model but keep privacy and security under their own control. IDCpredicts in 2017 $17.2B in infrastructure spending for private cloud, including on-premises and hosted private clouds.

One problem that data reduction addresses for the private cloud is that, when implementing private cloud, organizations can get hit with the double whammy of hardware infrastructure costs plus annual software licensing costs. For example, Software Defined Storage (SDS) solutions are typically licensed by capacity and their costs are directly proportional to hardware infrastructure storage expenses. Data reduction decreases storage costs because it reduces storage capacity consumption. For example, deduplication and compression typically cut capacity requirements of block storage in enterprise deployments by up to 6:1 or approximately 85%.

Consider a private cloud configuration with a 1 PB deployment of storage infrastructure and SDS. Assuming a current hardware cost of $500 per TB for commodity server-based storage infrastructure with datacenter-class SSDs and a cost of $56,000 per 512 TB for the SDS component, users would pay $612,000 in the first year. In addition, software subscriptions are annual, over three years you will spend $836,000 for 1 PB of storage and over five years, $1,060,000.

The same configuration with 6:1 data reduction in comparison over five years will cost $176,667 for hardware and software resulting in $883,333 in savings. And that’s not including the additional substantial savings in power cooling and space. As businesses develop private cloud deployments, they must be sure it has data reduction capabilities because the cost savings are compelling.

When implementing private cloud on Linux, the easiest way to include data reduction is with Permabit Virtual Data Optimizer (VDO). VDO operates in the Linux kernel as one of many core data management services and is a device mapper target driver transparent to persistent and ephemeral storage services whether the storage layers above are providing object, block, compute, or file based access.

VDO – Seamless and Transparent Data Reduction

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The same transparency applies to the applications running above the storage service level. Customers using VDO today realize savings up to 6:1 across a wide range of use cases.

Some workflows that benefit heavily from data reduction are;

  • Logging: messaging, events, system and application logs

  • Monitoring: alerting, and tracing systems

  • Database: databases with textual content, NOSQL approaches such as MongoDB and Hadoop

  • User Data: home directories, development build environments

  • Virtualization and containers: virtual server, VDI, and container system image storage

  • Live system backups: used for rapid disaster recovery

With data reduction, cumulative cost savings can be achieved across a wide range of use cases which makes data reduction so attractive for private cloud deployments.

Reducing Hybrid Cloud’s Highly Redundant Data

Storage is at the foundation of cloud services and almost universally data in the cloud must be replicated for data safety. Hybrid cloud architectures that combine on-premise resources (private cloud) with colocation, private and multiple public clouds result in highly redundant data environments. IDC’s FutureScape report finds “Over 80% of enterprise IT organizations will commit to hybrid cloud architectures, encompassing multiple public cloud services, as well as private clouds by the end of 2017.” (IDC 259840)

Depending on a single cloud storage provider for storage services can risk SLA targets. Consider the widespread AWS S3 storage errors that occurred on February 28th 2017, where data was not available to clients for several hours. Because of loss of data access businesses may have lost millions of dollars of revenue. As a result today more enterprises are pursuing a “Cloud of Clouds” approach where data is redundantly distributed across multiple clouds for data safety and accessibility. But unfortunately, because of the data redundancy, this approach increases storage capacity consumption and cost.

That’s where data reduction comes in. In hybrid cloud deployments where data is replicated to the participating clouds, data reduction multiplies capacity and cost savings. If 3 copies of the data are kept in 3 different clouds, 3 times as much is saved. Take the private cloud example above where data reduction drove down the costs of a 1 PB deployment to $176,667, resulting in $883,333 in savings over five years. If that PB is replicated in 3 different clouds, the savings would be multiplied by 3 for a total savings of $2,649,999.

Permabit’s Virtual Data Optimizer (VDO) provides the perfect solution to address the multi-site storage capacity and bandwidth challenges faced in hybrid cloud environments. Its advanced data reduction capabilities have the same impact on bandwidth consumption as they do on storage and translates to a 6X reduction in network bandwidth consumption and associated cost.  Because VDO operates at the device level, it can sit above block-level replication products to optimize data before data is written out and replicated.

Summary

IT professionals are finding that the future of IT infrastructure lies in the cloud. Data reduction technologies enable clouds – public, private and hybrid to deliver on their promise of safety, agility and elasticity at the lowest possible cost making cloud the deployment model of choice for IT infrastructure going forward.”

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Cloud Economics drive the IT Infrastructure of Tomorrow

| ITBusinessNet.com
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Cloud Economics drive the IT Infrastructure of Tomorrow

The cloud continues to dominate IT as businesses make their infrastructure decisions based on cost and agility. Public cloud, where shared infrastructure is paid for and utilized only when needed, is the most popular model today. However, more and more organizations are addressing security concerns by creating their own private clouds. As businesses deploy private cloud infrastructure they are adopting techniques used in the public cloud to control costs. Gone are the traditional arrays and network switches of the past, replaced with software-defined data centers running on industry standard servers.

Efficiency features make the cloud model more effective by reducing costs and increasing data transfer speeds. One such feature, which is particularly effective in cloud environments, is inline data reduction. This is a technology that can be used to lower the costs of data in flight and at rest. In fact, data reduction delivers unique benefits to each of the cloud deployment models.

Public Clouds

The public cloud’s raison d’etre is its ability to deliver IT business agility, deployment flexibility and elasticity. As a result new workloads are increasingly deployed in public clouds.  Worldwide public IT cloud service revenue in 2018 is predicted to be $127B.

Data reduction technology minimizes public cloud costs. For example, deduplication and compression typically cut capacity requirements of block storage in enterprise public cloud deployments by up to 6:1.  These savings are realized in reduced storage consumption and operating costs in public cloud deployments.

Consider AWS costs employing data reduction;

If you provision a 300TB of EBS General Purpose SSD (gp2) storage for 12 hours per day over a 30 day month in a region that charges $0.10 per GB-month, you would be charged $15,000 for the storage.

With data reduction, that monthly cost of $15,000 would be reduced to $2,500.  Over a 12 month period you will save $150,000.   Capacity planning is a simpler problem when it is 1/6th its former size.  Bottom line, data reduction increases agility and reduces costs of public clouds.

One data reduction application that can readily be applied in public cloud is Permabit’s Virtual Disk Optimizer (VDO) which is a pre-packaged software solution that installs and deploys in minutes on Red Hat Enterprise Linux and Ubuntu LTS Linux distributions.  To deploy VDO in Amazon AWS, the administrator provisions Elastic Block Storage (EBS) volumes, installs the VDO package into their VMs and applies VDO to the block devices represented for their EBS volumes.  Since VDO is implemented in the Linux device mapper, it is transparent to the applications installed above it.

To READ the complete article;

CLICK ON THE LINK BELOW

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Using Data Reduction at the OS layer in Enterprise Linux Environments

| Stock Market
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Enterprises and cloud service providers that have built their infrastructure around Linux should deploy data reduction in the operating system to drive costs down, say experts at Permabit Technology Corporation, the company behind Permabit Virtual Data Optimizer (VDO).  Permabit VDO is the only complete data reduction software for Linux, the world’s most popular server Operating System (OS). Permabit’s VDO software fills a gap in the Linux feature set by providing a cost effective, alternative to the data reduction services delivered as part of the two other major OS platforms – Microsoft Windows and VMware. IT architects are driven to cut costs as they build out their next generation infrastructure with one or more of these OS platforms in  public and/or private cloud deployments and one obvious way to do so is with data reduction.

When employed as a component of the OS, data reduction can be applied universally without lock-in of proprietary solutions. Adding compression, deduplication, and thin provisioning to the core OS, data reduction benefits can be leveraged by any application or infrastructure services running on that OS. This ensures that savings accrue across the entire IT infrastructure, delivering TCO advantages no matter where the data resides. This is the future of data reduction – as a ubiquitous service of the OS.

“We’re seeing movement away from proprietary storage solutions, where data reduction was a key differentiated feature, toward OS-based capabilities that are applied across an entire infrastructure,” said Tom Cook, Permabit CEO.  “Early adopters are reaping financial rewards through reduced cost of equipment, space, power and cooling. Today we are also seeing adoption of data reduction in the OS by more conservative IT organizations who are driven to take on more initiatives with tightly constrained IT budgets.”

VDO, with inline data deduplication, HIOPS Compression®, and fine-grained thin provisioning, is deployed as a device-mapper driver for Linux. This approach ensures compatibility with a full complement of direct-attached/ephemeral, block, file and object interfaces. VDO data reduction is available for Red Hat Enterprise Linux and Canonical Ubuntu Linux LTS distributions.

Advantages of in-OS data reduction technology include:

  • Improved density for public/private /hybrid cloud storage, resulting in lower storage and service costs
  • Vendor independent to function across hardware running the target OS
  • Seamless data mobility between on-premise and cloud resources
  • Up to six times lower IT infrastructure OpEx
  • Transparent to end users accessing data
  • Requires no modifications to existing applications, file systems, virtualization features, or data protection capabilities

With VDO, these advantages are being realized on Linux today. VDO deployments have been completed (or are currently in progress) with large telecommunications companies, government agencies, financial services firms and IaaS providers who have standardized on Linux for their data centers. With data reduction in Linux, enterprises achieve vendor independence across all Linux based storage, increased mobility of reduced data and hyper scale economics. What an unbeatable combination!

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Addressing Bandwidth Challenges in the Hybrid Cloud

| By: (56)

Any application infrastructure that relies on a single data center is only as safe as that data center’s physical resources and the competence of its staff.  Witness the recent S3 outage at Amazon. When you choose to deploy in a single public cloud, you are delegating infrastructure management to your provider. When you’re exclusively running in-house, private cloud infrastructure, you’re entrusting that management to your own organization.  Either way mistakes…

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