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Data Center Optimization: How to Do More Without More Money

| Data Center Knowledge
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Data centers are pushing the boundaries of the possible, using new paradigms to operate efficiently in an environment that continually demands more power, more storage, more compute capacity… more everything. Operating efficiently and effectively in the land of “more” without more money requires increased data center optimization at all levels, including hardware and software, and even policies and procedures.

Although cloud computing, virtualization and hosted data centers are popular, most organizations still have at least part of their compute capacity in-house. According to a 451 Research survey of 1,200 IT professionals, 83 percent of North American enterprises maintain their own data centers. Only 17 percent have moved all IT operations to the cloud, and 49 percent use a hybrid model that integrates cloud or colocation hosts into their data center operations.

The same study says most data center budgets have remained stable, although the heavily regulated healthcare and finance sectors are increasing funding throughout data center operations. Among enterprises with growing budgets, most are investing in upgrades or retrofits to enable data center optimization and to support increased density.

As server density increases and the data center footprint shrinks, any gains may be taken up by the additional air handling and power equipment, including uninterruptable power supplies and power generators. In fact, data center energy usage is expected to increase by 81 percent by 2020, according to CIO magazine.

Often, identifying and decommissioning unused servers during a data center optimization project is a challenge, along with right-sizing provisioning.

Virtualization makes it easy to spin up resources as needed, but it also makes tracking those resources harder. The result is that unused servers may be running because no one is certain they’re not being used. A study by the Natural Resources Defense Council and Anthesis reports that up to 30 percent of servers are unused, but still running.

A similar principle extends to storage. While data deduplication (removing duplicate files) is widely used, over-crowded storage remains an issue for small to medium-sized enterprises (SMEs). Deduplication can free much-needed storage space.  For example, data deduplication along with compression can shrink data storage consumption by up to 85%.  This not only addresses the budget issues mentioned above but also helps with data density much like the server density mentioned earlier.  Imagine that you can save money with less storage and increase your data density at the same time .  Looks lie a win-win!

If data center optimization is concerned with saving money, managers also should examine their purchasing programs. NaviSite looked for cost efficiencies within volume projects and looked at large commodity items like cabinets, racks, cabling and plug strips eliminated middlemen whenever possible. For big purchases go directly to the manufacturers in China and seek innovative young technology vendors working with them to design specifications that significantly lower the price.

Data center optimization, clearly, extends beyond hardware to become a system-wide activity. It is the key to providing more power, more capacity and more storage without requiring more money.

* This article is quite long you may want to read the source article which can be found by clicking on the link below:

 

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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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Global Cloud Storage is grow at a CAGR of 25% by Forecast to 2023

| biotech.einnews.com
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In this rapidly changing world of technology, cloud storage market is gaining immense popularity owing to its ability to easily integrate with the already existing infrastructure of the enterprise. Cloud storage gateway solution provides features like encryption and data reduction technology with compression and data deduplication adds cost reduction and security to the data. It also allows rapid transfer of data to the cloud since the data is reduced and network traffic minimized.

As compared to other regions, the cloud storage market in North America is expected to witness a significantly healthy growth is accounted for the highest market share throughout the forecast period. U.S and Canada are anticipated to drive the growth owing to the presence of large number of established players of cloud storage solutions in the cloud storage market. In addition to this, the region also has a well-established infrastructure and higher internet penetration. Moreover, increasing adoption of cloud storage by small and medium enterprises is expected to be a major factor for the growth of cloud storage market.

The Cloud Storage Market is growing rapidly over 25% of CAGR and is expected to reach at approx. USD 104 billion by the end of forecast period.

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Application consistency for enterprise multi-cloud and data reduction

| Networking information, news and tips
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The cloud era has arrived in a big way as businesses of all sizes are looking to increase their level of IT agility. But when it comes to cloud, one size certainly does not fit all. Businesses have a wide range of options, including the use of a private cloud and a wide range of public cloud providers. My research finds that 82% of businesses will operate a hybrid cloud environment in the next five years.

This is consistent with the findings of F5’s State of Application Delivery in 2017 report, which the company released the results of last week at its annual EMEA Agility Conference in Barcelona. The study polled approximately 2,220 customers across the globe about their plans for the cloud and the challenges they face. Some interesting statistics from the survey that will affect a multi-cloud strategy are as follows:

  • 80% are committed to multi-cloud architectures
  • 20% will have more than half of their applications running in a public and/or private cloud this year
  • 34% of organizations lack the skills necessary to secure the cloud
  • 23% lack other skills specific to cloud
  • Organizations will deploy an average of 14 application services necessary to optimize and secure cloud services, with the top five being network firewall, antivirus SSL VPN, load balancing and spam mitigation

In addition to the above challenges, the cost of multi-cloud deployment when using it for data replication can become excessive as can the network costs. The addition of data reduction technology to the IT stack can mitigate these costs by as much as 85%. See Data Reduction Reduces the Cost of Cloud Deployment for more specifics.

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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 exhibits VDO for Data Centers at Red Hat Summit 2017

| tmcnet.com
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Permabit exhibits VDO for Data Centers at Red Hat Summit 2017 Permabit Technology Corporation will show its Permabit Virtual Data Optimizer (VDO) with patented deduplication, HIOPS Compression ® , and thin provisioning at Red Hat Summit 2017, held May 2-4 at the Boston Convention and Exhibition Center. Permabit will exhibit in the Storage Partner Showcase (Booth #206).

VDO is the only production-ready, modular data reduction solution for the Linux block storage stack. It is fully supported by Permabit on Red Hat Enterprise Linux and is compatible with Red Hat Ceph Storage and Red Hat Gluster Storage. As a ready-to-run kernel module for Linux, VDO works transparently with Linux block devices and file systems across all types of storage, as well as a broad range of open-source and commercial software solutions. This unique block-level approach enables Permabit customers to leverage existing file systems, volume management, and data protection, as well as deliver 4 KB inline, high-performance data reduction to Linux storage environments both on-premises and in the cloud.

VDO is used by the world’s largest financial and communications companies and large government agencies. VDO data reduction delivers dramatically better data density for public/private/hybrid cloud storage, reducing storage capacity consumption and service demands while delivering IT infrastructure operating costs that are up to six times lower.

Red Hat Summit is the premier open-source technology event to showcase the latest and greatest in cloud computing, platform, virtualization, middleware, storage, and systems management technologies. Thousands of attendees gain insight into topics such as big data, mobile, storage, Internet of Things, security, and DevOps in training sessions, technology sessions, hands-on labs, presentations, and professional networking opportunities.

For additional information on Red Hat Summit visit https://www.redhat.com/en/summit/2017

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Embrace Efficiency

| BrightTALK
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Organizations struggling to keep up with demand for private cloud storage are suddenly confronting the need for huge data center expansion which can run up to $3000/square foot.

Combining Permabit VDO with open source private cloud storage maximizes data center density, reducing the need for expansion while also lowering operational costs of power and cooling. Permabit Labs testing of VDO with unstructured data repositories on Red Hat Storage saw data reduction rate of 2:1. Permabit Labs Testing in Virtual Disk Image environments saw VDO compression and deduplication deliver up to 6:1 data reduction rates with Red Hat Storage.

View the video ……click the link below

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DR Journal

Cloud Economics drive the IT Infrastructure of Tomorrow

| Welcome to Disaster Recovery Journal
DR Journal

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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