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Virtual SAN - A Deep Dive into Converged Storage (technical whitepaper)DataCore APAC
DataCore™ Virtual SAN introduces the next evolution in Software-defined Storage (SDS) by creating high-performance and highly-available shared storage pools using the disks and flash storage in your servers. It addresses
the requirements for fast and reliable access to storage across a cluster of servers at remote sites as well as in high-performance applications.
DataCore Virtual SAN virtualizes the local storage on two or more physical x86-64 servers. It can leverage any combination of magnetic disks (SAS, SATA) and optionally flash, to provide persistent storage services as close to the application as possible without having to go out over the wire (network or fabric). Virtual disks provisioned from DataCore Virtual SAN can also be shared across the cluster to support the dynamic migration and failover of applications between hosts.
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SSDs: A New Generation of Storage DevicesHTS Hosting
This PPT’s aim is to provide comprehensive information about SSDs (Solid State Devices). It describes the uses, types and advantages of SSDs as the new generation of computer storage devices.
DataCore™ Virtual SAN introduces the next evolution in Software-defined Storage (SDS) by creating high-performance and highly-available shared storage pools using the disks and flash storage in your servers. It addresses
the requirements for fast and reliable access to storage across a cluster of servers at remote sites as well as in high-performance applications.
DataCore Virtual SAN virtualizes the local storage on two or more physical x86-64 servers. It can leverage any combination of magnetic disks (SAS, SATA) and optionally flash, to provide persistent storage services as close to the application as possible without having to go out over the wire (network or fabric). Virtual disks provisioned from DataCore Virtual SAN can also be shared across the cluster to support the dynamic migration and failover of applications between hosts.
DataCore Virtual SAN addresses the challenges that exist today within many IT organizations such as single points of failure, poor application performance (particularly within virtualized environments), low storage efficiency and utilization, and high infrastructure costs.
Blade Server I/O and Workloads of the Future (slides)IT Brand Pulse
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Virtual SAN - A Deep Dive into Converged Storage (technical whitepaper)DataCore APAC
DataCore™ Virtual SAN introduces the next evolution in Software-defined Storage (SDS) by creating high-performance and highly-available shared storage pools using the disks and flash storage in your servers. It addresses
the requirements for fast and reliable access to storage across a cluster of servers at remote sites as well as in high-performance applications.
DataCore Virtual SAN virtualizes the local storage on two or more physical x86-64 servers. It can leverage any combination of magnetic disks (SAS, SATA) and optionally flash, to provide persistent storage services as close to the application as possible without having to go out over the wire (network or fabric). Virtual disks provisioned from DataCore Virtual SAN can also be shared across the cluster to support the dynamic migration and failover of applications between hosts.
DataCore Virtual SAN addresses the challenges that exist today within many IT organisations such as single points of failure, poor application performance (particularly within virtualized environments), low storage efficiency and utilisation, and high infrastructure costs.
SSDs: A New Generation of Storage DevicesHTS Hosting
This PPT’s aim is to provide comprehensive information about SSDs (Solid State Devices). It describes the uses, types and advantages of SSDs as the new generation of computer storage devices.
DataCore™ Virtual SAN introduces the next evolution in Software-defined Storage (SDS) by creating high-performance and highly-available shared storage pools using the disks and flash storage in your servers. It addresses
the requirements for fast and reliable access to storage across a cluster of servers at remote sites as well as in high-performance applications.
DataCore Virtual SAN virtualizes the local storage on two or more physical x86-64 servers. It can leverage any combination of magnetic disks (SAS, SATA) and optionally flash, to provide persistent storage services as close to the application as possible without having to go out over the wire (network or fabric). Virtual disks provisioned from DataCore Virtual SAN can also be shared across the cluster to support the dynamic migration and failover of applications between hosts.
DataCore Virtual SAN addresses the challenges that exist today within many IT organizations such as single points of failure, poor application performance (particularly within virtualized environments), low storage efficiency and utilization, and high infrastructure costs.
Webinar: Overcoming the Storage Challenges Cassandra and Couchbase CreateStorage Switzerland
NoSQL databases like Cassandra and Couchbase are quickly becoming key components of the modern IT infrastructure. But this modernization creates new challenges – especially for storage. Storage in the broad sense. In-memory databases perform well when there is enough memory available. However, when data sets get too large and they need to access storage, application performance degrades dramatically. Moreover, even if enough memory is available, persistent client requests can bring the servers to their knees.
Join Storage Switzerland and Plexistor where you will learn:
1. What is Cassandra and Couchbase?
2. Why organizations are adopting them?
3. What are the storage challenges they create?
4. How organizations attempt to workaround these challenges.
5. How to design a solution to these challenges instead of a workaround.
Blade Server I/O and Workloads of the Future (report)IT Brand Pulse
At the Intel Xeon E5-2600 v3 inflection point, this technology brief looks at how the latest Cisco UCS and HP BladeSystem blade servers match-up to workloads of the future.
Storage Efficiency Customer Success Stories Sept 2010 power pointMichael Hudak
See over 100 companies from Government, High Tech, Manufacturing, Financial, Retail, Health Care, Research and Technical, Information and Media, Telco and Service Providers, Transport, Education, Legal, Energy and Entertainment and their challenges regarding their storage challenges and how NetApp helped to resolve them
Data is being generated at rates never before encountered. The explosion of data threatens to consume all of our IT resources: People, budget, power, cooling and data center floor space. Are your systems coping with your data now? Will they continue to deliver as the stress on data centers increases and IT budgets dwindle?
Imagine if you could be ahead of the data explosion by being proactive about your storage instead of reactive. Now you can be, with NetApp's approach to the designs and deployment of storage systems. With it, you can take advantage of NetApp's latest storage enhancements and take control of your storage. This will allow you to focus on gathering more insights from your data and deliver more value to your business.
NetApp's most advanced storage solutions are NetApp Virtualization & scale out. By taking control of your existing storage platform with either solution, you get:
• Immortal Storage system
• Infinite scalability
• Best possible ROI from existing environment
Learn how upcoming changes in the persistent memory market will affect deployments of in-memory computing and traditional applications. Using software innovations from SanDisk and the broad portfolio of flash storage hardware options, customers and developers can optimize applications for “flash extended memory”, the intersection of in-memory computing and persistent memory technologies.
In this presentation, we will discuss in details about challenges in managing the IT infrastructure with a focus on server sizing, storage capacity planning and internet connectivity. We will also discuss about how to set up security architecture and disaster recovery plan.
To know more about Welingkar School’s Distance Learning Program and courses offered, visit:
http://www.welingkaronline.org/distance-learning/online-mba.html
Webinar: Overcoming the Storage Challenges Cassandra and Couchbase CreateStorage Switzerland
NoSQL databases like Cassandra and Couchbase are quickly becoming key components of the modern IT infrastructure. But this modernization creates new challenges – especially for storage. Storage in the broad sense. In-memory databases perform well when there is enough memory available. However, when data sets get too large and they need to access storage, application performance degrades dramatically. Moreover, even if enough memory is available, persistent client requests can bring the servers to their knees.
Join Storage Switzerland and Plexistor where you will learn:
1. What is Cassandra and Couchbase?
2. Why organizations are adopting them?
3. What are the storage challenges they create?
4. How organizations attempt to workaround these challenges.
5. How to design a solution to these challenges instead of a workaround.
Blade Server I/O and Workloads of the Future (report)IT Brand Pulse
At the Intel Xeon E5-2600 v3 inflection point, this technology brief looks at how the latest Cisco UCS and HP BladeSystem blade servers match-up to workloads of the future.
Storage Efficiency Customer Success Stories Sept 2010 power pointMichael Hudak
See over 100 companies from Government, High Tech, Manufacturing, Financial, Retail, Health Care, Research and Technical, Information and Media, Telco and Service Providers, Transport, Education, Legal, Energy and Entertainment and their challenges regarding their storage challenges and how NetApp helped to resolve them
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Imagine if you could be ahead of the data explosion by being proactive about your storage instead of reactive. Now you can be, with NetApp's approach to the designs and deployment of storage systems. With it, you can take advantage of NetApp's latest storage enhancements and take control of your storage. This will allow you to focus on gathering more insights from your data and deliver more value to your business.
NetApp's most advanced storage solutions are NetApp Virtualization & scale out. By taking control of your existing storage platform with either solution, you get:
• Immortal Storage system
• Infinite scalability
• Best possible ROI from existing environment
Learn how upcoming changes in the persistent memory market will affect deployments of in-memory computing and traditional applications. Using software innovations from SanDisk and the broad portfolio of flash storage hardware options, customers and developers can optimize applications for “flash extended memory”, the intersection of in-memory computing and persistent memory technologies.
In this presentation, we will discuss in details about challenges in managing the IT infrastructure with a focus on server sizing, storage capacity planning and internet connectivity. We will also discuss about how to set up security architecture and disaster recovery plan.
To know more about Welingkar School’s Distance Learning Program and courses offered, visit:
http://www.welingkaronline.org/distance-learning/online-mba.html
Configuration and Deployment Guide For Memcached on Intel® ArchitectureOdinot Stanislas
This Configuration and Deployment Guide explores designing and building a Memcached infrastructure that is scalable, reliable, manageable and secure. The guide uses experience with real-world deployments as well as data from benchmark tests. Configuration guidelines on clusters of Intel® Xeon®- and Atom™-based servers take into account differing business scenarios and inform the various tradeoffs to accommodate different Service Level Agreement (SLA) requirements and Total Cost of Ownership (TCO) objectives.
INTRODUCTION : Server Centric IT Architecture and its Limitations; Storage – Centric IT Architecture and its advantages; Case study: Replacing a server with Storage Networks; The Data Storage and Data Access problem; The Battle for size and access.
INTELLIGENT DISK SUBSYSTEMS – 1
Architecture of Intelligent Disk Subsystems; Hard disks and Internal I/O Channels, JBOD, Storage virtualization using RAID and different RAID levels;
Enterprise data-centers are straining to keep pace with dynamic business demands, as well as to incorporate advanced technologies and architectures that aim to improve infrastructure performance
Historically, the tradeoff of hard disk drives (HDDs) versus solid state drives (SSDs) in enterprises has revolved around three variables: capacity, endurance and price. This whitepaper looks at how increased capacity and durability is expanding SSD applications in the data center.
Dedicated servers - is your project cracking under pressure?Orlaith Palmer
As your business grows, your computing needs will change. It’s common for established businesses to
encounter capacity constraints with on-premises servers, for instance. Others may discover issues with
enabling an increasingly mobile workforce to access business applications via the internet.
Hello, tech adventurer! Buckle up for an adventure into the world of computers with a twist – the astonishing Tower Server. Now, don’t be misled by the name. Consider it a versatile powerhouse ready to turbocharge businesses like yours.
As much as everyone has bought into the ideology of virtualization, many are still only seeing half
the benefit. Promises of agility and elasticity have certainly prevailed. However, many CFOs are still
scratching their heads looking for cost-saving benefits. In many cases, IT departments have simply
traded costs. The unexpected I/O explosion from VM sprawl has placed enormous pressure on
network storage which has resulted in increased hardware costs to fight application bottlenecks.
Unless enterprises address this I/O challenge and its direct relationship to storage hardware, they
cannot realize the full potential of their virtual environment. Condusiv Technologies’ V-locity VM
accelerator solves this I/O problem by optimizing reads and writes at the source for up to 50%
performance boosts without additional hardware. Learn more at http://www.condusiv.com/knowledge-center/white-papers/
The first Technology driven reality competition showcasing the incredible virtualization community members and their talents. Virtually Everywhere · virtualdesignmaster.com
Rethink Storage: Transform the Data Center with EMC ViPR Software-Defined Sto...EMC
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Compact, high-performing servers and streamlined software are a necessity for any data center that provides multi-tier hosted Web solutions, cloud services, or other scale-out implementations. Customers need quick access to Web applications that power their business, and the databases that power those Web applications. In our tests, we found that the Dell PowerEdge C6220 server with an open-source LAMP software stack was able to complete up to 38,793 orders per minute for one Web site, 79,759 orders per minute for two Web sites, and 119,758 orders per minute for four Web sites – all while providing the flexibility, efficiency, and maintenance features that large-scale deployments require.
Demartek evaluated the Lenovo S3200 SAN supporting multiple workloads and saw tremendous results. Read this report and find out why the S3200 should be considered for your SAN deployments!
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How to choose a server for your data center's needs
1. How to Choose a Server for Your Data Center’s Needs?
How to choose a server? How to choose a server based on your data center's
needs?
Nowadays, in an effort to optimize performance in the enterprise, IT should
evaluate top priorities to determine how to choose a server and create the
most efficient workloads.
We’d like to share some key considerations when selecting a server based on
your data center's needs.
The guide below was written by Stephen J. Bigelow on
searchdatacenter.techtarget.com
Servers are the heart of modern computing, but the contemplation around
how to choose a server to host a workload can sometimes create a
bewildering array of hardware choices. While it's possible to fill a data center
with identical, virtualized and clustered white box systems that are capable of
managing any workload, the cloud is changing how organizations run
applications. As more companies deploy workloads in the public cloud, local
data centers require fewer resources to host the workloads that remain on
premises. This is prompting IT and business leaders to seek out more value
and performance from the shrinking server fleet.
Today, the expansive sea of white box systems is challenged by a new wave
of specialization with server features. Some organizations are rediscovering
the notion that one server may indeed fit all. But you can select or even tailor
server cluster hardware to accommodate particular usage categories.
VM consolidation and network I/O add benefits
2. A central benefit of server virtualization is the ability to host multiple VMs on
the same physical server in order to utilize more of a server's available
compute resources. VMs primarily rely on server memory (RAM) and
processor cores. It's impossible to determine precisely how many VMs can
reside on a given server because you can configure VMs to use a wide range
of memory space and processor cores. However, the rule of thumb on servers
includes selecting one with more memory and processor cores will typically
allow more VMs to reside on the same server, which improves consolidation.
For example, a Dell EMC PowerEdge R940 rack server can host up to 28
processor cores and offers 48 double data rate 4 (DDR4) dual inline memory
module (DIMM) slots that support up to 6 TB of memory. Some organizations
may choose to forego individual rack servers in favor of blade servers for an
alternative form factor or as part of hyper-converged infrastructure systems.
Servers intended for high levels of VM consolidation should also include
resiliency server features, such as redundant hot-swappable power supplies,
and resilient memory features, such as DIMM hot swap and DIMM mirroring.
A secondary consideration on how to choose a server for highly consolidated
purposes is the added attention to network I/O. Enterprise workloads
routinely exchange data, access centralized storage resources, interface with
users across the LAN or WAN and so on. Network bottlenecks can result when
multiple VMs attempt to share the same low-end network port. Consolidated
servers can benefit from a fast network interface, such as a 10 Gigabit
Ethernet port, though it is often more economical and flexible to select a
server with multiple 1 GbE ports that you can trunk together for more speed
and resilience.
3. Figure from http://searchdatacenter.techtarget.com/tip/How-to-choose-a-
server-based-on-your-data-centers-needs
When choosing a server, evaluate the importance of certain features based
on the use cases.
Container consolidation opens up RAM on how to choose a server
Virtualized containers represent a relatively new approach to virtualization
that allows developers and IT teams to create and deploy applications as
instances that package code and dependencies together -- yet containers
share the same underlying OS kernel. Containers are attractive for highly
scalable cloud-based application development and deployment.
As with VM consolidation, compute resources will have a direct effect on the
number of containers that a server can potentially host, so servers intended
for containers should provide an ample quantity of RAM and processor cores.
More compute resources will generally allow for more containers.
But large numbers of simultaneous containers can impose serious internal I/O
challenges for the server. Every container must share a common OS kernel.
This means there could be dozens or even hundreds of containers trying to
communicate with the same kernel, resulting in excess OS latency that might
impair container performance. Similarly, containers are often deployed as
application components, not complete applications. Those component
containers must communicate with each other and scale as needed to
enhance the performance of the overall workload. This can produce enormous
-- sometimes unpredictable -- API traffic between containers. In both cases,
I/O bandwidth limitations within the server itself, as well as the application's
architectural design efficiency, can limit the number of containers a server
might host successfully.
Network I/O can also pose a potential bottleneck when many containerized
workloads must communicate outside of the server across the LAN or WAN.
Network bottlenecks can slow access to shared storage, delay user responses
and even precipitate workload errors. Consider the networking needs of the
containers and workloads, and configure the server with adequate network
capacity -- either as a fast 10 GbE port or with multiple 1 GbE ports, which
you can trunk together for more speed and resilience.
Most server types are capable of hosting containers, but organizations that
adopt high volumes of containers will frequently choose blade servers to
combine compute capacity with measured I/O capabilities, spreading out
containers over a number of blades to distribute the I/O load. One example of
servers for containers is the Hewlett Packard Enterprise (HPE) ProLiant
4. BL460c Gen10 Server Blade with up to 26 processor cores and 2 TB of DDR4
memory.
Visualization and scientific computing affect how to choose a server
Graphics processing units (GPUs) are increasingly appearing at the server
level to assist in mathematically intensive tasks ranging from big data
processing and scientific computing to more graphics-related tasks, such as
modeling and visualization. GPUs also enable IT to retain and process
sensitive, valuable data sets in a better-protected data center rather than
allow that data to flow to business endpoints where it can more easily be
copied or stolen.
Generally, the support for GPUs requires little more than the addition of a
suitable GPU card in the server -- there is little impact on the server's
traditional processor, memory, I/O, storage, networking or other hardware
details. However, the GPU adapters included in enterprise-class servers are
often far more sophisticated than the GPU adapters available for desktops or
workstations. In fact, GPUs are increasingly available as highly specialized
modules for blade systems.
For example, the HPE ProLiant WS460c Gen9 Graphics Server Blade uses
Nvidia Tesla M60 Peripheral Component Interconnect Express graphics cards
with two GPUs, 4,096 Compute Unified Device Architecture cores and 16 GB
of graphics DDR5 separate video RAM. The graphics system touts support for
up to 48 GPUs through the use of multiple graphics server blades. The large
volume of supported GPU hardware--especially when GPU hardware is also
virtualized--allows many users and workloads to share the graphics
subsystem.
Info from http://searchdatacenter.techtarget.com/tip/How-to-choose-a-
server-based-on-your-data-centers-needs
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