Modern data centers based on hyperscale, leaf-spine switching
architectures are growing so large and complex they are outstripping the
capacity of operators to engineer, configure and manage these networks
using traditional tools and techniques. As a result, data center operators
are looking for new ways to automate workflows, maximize uptime and
increase operational agility while reducing operating costs
IT organizations are facing new challenges as a result of digital transformation,
widespread cloud and SaaS adoption, mobile proliferation and pervasive IoT
deployments. They must build and operate their internal data centers to deliver
high availability for mission critical applications, rapidly onboard new applications
and scale capacity on demand – all within the mandate to be cost competitive
with infrastructure as a service providers (IaaS) like AWS and Azure. They are
architecting and building new Intent-Based Data Centers to deliver private cloud
services to their internal and external customers.
If your business is like most, you are grappling with data storage. In an annual Frost & Sullivan survey of IT decision-makers, storage growth has been listed among top data center challenges for the past five years.2 With businesses collecting, replicating, and storing exponentially more data than ever before, simply acquiring sufficient storage capacity is a problem.
Even more challenging is that businesses expect more from their stored data. Data is now recognized as a precious corporate asset and competitive differentiator: spawning new business models, new revenue streams, greater intelligence, streamlined operations, and lower costs. Booming market trends such as Internet of Things and Big Data analytics are generating new opportunities faster than IT organizations can prepare for them.
When measuring competitive differentiation in milliseconds, connectivity is a key component for any financial services company’s data center strategy. In planning the move of its primary data center, a large international futures and commodities trading company needed to find a provider that could deliver the high capacity connectivity it required.
Published By: Dell EMC
Published Date: May 12, 2016
Businesses face greater uncertainty than ever. Market conditions, customer desires, competitive landscapes, and regulatory constraints change by the minute. So business success is increasingly contingent on predictive intelligence and hyperagile responsiveness to relentlessly evolving demands. This uncertainty has significant implications for the data center — especially as business becomes pervasively digital. IT has to support business agility by being more agile itself. It has to be able to add services, scale capacity up and down as needed, and nimbly remap itself to changes in organizational structure.
Published By: Dell EMC
Published Date: Aug 17, 2017
For many companies the appeal of the public cloud is very real. For tech startups, the cloud may be their
only option, since many don’t have the capital or expertise to build and operate the IT systems their
businesses need. Existing companies with established data centers are also looking at public clouds, to
increase IT agility while limiting risk. The idea of building-out their production capacity while possibly
reducing the costs attached to that infrastructure can be attractive. For most companies the cloud isn’t
an “either-or” decision, but an operating model to be evaluated along with on-site infrastructure. And
like most infrastructure decisions the question of cost is certainly a consideration.
In this report we’ll explore that question, comparing the cost of an on-site hyperconverged solution with
a comparable set up in the cloud. The on-site infrastructure is a Dell EMC VxRailTM hyperconverged
appliance cluster and the cloud solution is Amazon Web Services (AWS).
Today enterprises are more dependent on robust, agile IT solutions than ever before. It’s not just about technology—people and processes need to make the cloud journey too, and to realize the benefit of new technology, new support is needed.
Published By: PernixData
Published Date: Jun 01, 2015
Storage arrays are struggling to keep up with virtualized data centers. The traditional solution of buying more capacity to get more performance is an expensive answer – with inconsistent results. A new approach is required to more cost effectively provide the storage performance you need, when and where you need it most.
As agencies continue to modernize data center infrastructure to meet evolving mission needs and technologies, they are turning to agile software and cloud solutions. One such solution is hyper-converged infrastructure (HCI), a melding of virtual compute, storage, and networking capabilities supported by commodity hardware.
With data and applications growing exponentially along with the need for more storage capacity and flexibility, HCI helps offset the rising demands placed on government IT infrastructure. HCI also provides a foundation for hybrid cloud, helping agencies permanently move applications and workloads into public cloud and away from the data center.
The explosion in IT demand has intensified pressure on data center resources, making it difficult to respond to business needs, especially while budgets remain flat. As capacity demands become increasingly unpredictable, calculating the future needs of the data center becomes ever more difficult. The challenge is to build a data center that will be functional, highly efficient and cost-effective to operate over its 10-to-20-year lifespan. Facilities that succeed are focusing on optimization, flexibility and planning—infusing agility through a modular data center design.
"Today’s data centers are being asked to do more at less expense and with little or no disruption to company operations. They’re also expected to run 24x7, handle numerous new application deployments and manage explosive data growth. Data storage limitations can make it difficult to meet these stringent demands.
Faced with these challenges, CIOs are discovering that the “rip and replace” disruptive migration method of improving storage capacity and IO performance no longer works. Access this white paper to discover a new version of NetApps storage operating environment. Find out how this software update eliminates many of the problems associated with typical monolithic or legacy storage systems."
In the current landscape of modern data centers, IT professionals are stretched too thin. Triage situations are the norm and tend to reduce the time spent on strategic business objectives. This paper offers a solution to this IT dilemma, outlining the ways to achieve a storage infrastructure that enables greater performance and capacity.
Published By: CA WA 2
Published Date: Oct 01, 2008
Data Center Automation enables you to manage change processes, ensure configuration compliance and dynamically provision servers and applications based on business need. By controlling complexity and automating processes in the data center, your data center becomes more adaptive and agile. Effective Data Center Automation lets you leverage virtualization, manage capacity, and reduce costs and also helps reduce energy usage and waste.
Enterprises seeking the security and performance capabilities of establishing their own private network are often turned away by the high cost and technical expertise required. AT&T NetBond® for Cloud helps establish private, dynamic connectivity from on-premises data centers to Amazon Web Services (AWS) in as little as 2-3 days.
Aira, a customer focused on augmented reality, has leveraged the global connectivity capabilities of AT&T NetBond® to connect low vision or blind smart glasses users with a network of agents to guide the visually impaired through everyday tasks such as interpreting prescriptions. Download this case study with AT&T, Aira, and AWS to learn how AT&T NetBond® can accelerate your journey to the cloud, improve ROI and secure your applications.
Join our webinar to learn
- Why Aira chose AT&T NetBond® to establish a global network connecting smart glasses to trained, professional agents
- Best practices for quickly shifting network capacity to meet changing demands
It used to be that you would build out your datacenter with all the right considerations in place, purchasing equipment that was sized to meet the needs of your organization for today and the near term future.
Change used to be merely planning for capacity upgrades or network expansion, or migrating to the latest application version—or more simply put: things we could measure, control and manage.
With the advent of the cloud, the rise in cyber-based threats, and the need to do more, faster, we’re witnessing a perfect storm that is making it more and more difficult for the enterprise to plan for change, and to maximize the investments that they make in their IT infrastructure today.
This eBook will focus on considerations that you should make when deciding on an ADC solution that can not only survive these changes, but help create opportunities for innovation as the enterprise strives towards digital transformation. This guide will help you understand the changes that are currently unde
The world of IT is undergoing a digital transformation. Applications are growing fast, and so are the users consuming them. These applications are everywhere—in the datacenter, on virtual and/or microservices platforms, in the cloud, and as SaaS. More and more apps are now being moved out of datacenters to a cloud-based infrastructure.
In order for an optimized and secure delivery of these applications, IT needs specific network appliances called Application Delivery Controllers (ADCs). These ADCs come in hardware, virtual, and containerized form factors, and are sized by Network Administrators based on the current and future usage of applications. The challenge with this is that it’s hard to foresee sizing or scalability requirements for these ADCs since users are constantly increasing, and applications are consistently evolving, as well as moving out of datacenters.
Complicating matters, most ADCs are fixed-capacity network appliances that provide zero or minimum expansion capability
Published By: BMC ESM
Published Date: Aug 20, 2009
Using the five step process outlined in this white paper, we were able to eliminate more than 2,000 servers from our own IT infrastructure, saving an estimated $10 million dollars in data center costs.
The value of conventional on-premises servers is eroding. As with all decay, it starts slowly and declines steadily. Bits and pieces of the physical server market are peeling off as businesses turn away from conventional data center and IT closet deployments in favor of cloud-based infrastructure-as-a-service (IaaS). And there’s no shortage of IaaS; hosting and service-provider companies are flooding the market with low-cost access to hosted servers. The challenge for adopting businesses is leveraging hosted assets that guarantee data security and integrity with fine-grained levels of adjustable capacity, high performance and price predictability.
Published By: Tripp Lite
Published Date: May 15, 2018
As wattages increase in high-density server racks, providing redundant
power becomes more challenging and costly. Traditionally, the most
practical solution for distributing redundant power in 208V server racks
above 5 kW has been to connect dual 3-phase rack PDUs to dual power
supplies in each server. Although this approach is reliable, it negates a
rewarding system design opportunity for clustered server applications.
With their inherent resilience and automated failover, high-availability
server clusters will still operate reliably with a single power supply in
each server instead of dual power supplies. This streamlined system
design promises to reduce both capital expenditures and operating
costs, potentially saving thousands of dollars per rack.
The problem is that dual rack PDUs can’t distribute redundant power
to a single power supply. An alternative approach is to replace the dual
PDUs with an automatic transfer switch (ATS) connected to a single PDU,
but perfecting an ATS tha
Published By: Tripp Lite
Published Date: Jun 28, 2018
As high-density IT equipment becomes the new normal, the amount of heat generated continues to grow substantially – as does the challenge of efficiently cooling data centers. Traditional perimeter and/or raised floor computer room air conditioning systems increasingly struggle to remove concentrated heat loads. In many small to mid-size data centers, implementing close-coupled cooling solutions can be a highly effective and efficient strategy for supplementing cooling capacity. Located in or near server racks, close-coupled air conditioning units focus cooling where it is needed most without lowering the temperature of the entire data center. In addition, these modular solutions make it easy to reconfigure cooling to handle new equipment or eliminate hot spots. As a result, using close-coupled portable, rack-mounted or row-based air conditioning units tailored to your specific data center needs can boost cooling efficiency and add valuable flexibility.
Published By: Tripp Lite
Published Date: Jun 28, 2018
Cooling tends to take a back seat to other concerns when server rooms and small to mid-size data centers are first built. As computing needs grow, increased heat production can compromise equipment performance and cause shutdowns. Haphazard data center expansion creates cooling inefficiencies that magnify these heat-related problems. End users may assume they need to increase cooling capacity, but this is often unnecessary. In most cases, low-cost rack cooling best practices will solve heat-related problems. Best practices optimize airflow, increase efficiency, prevent downtime and reduce costs.
According to this global survey, in three years more than half of all IT services will be delivered via private, public and hybrid clouds. This study highlights the challenges faced by IT organizations as they move into a new role as “cloud brokers” and how a common data platform can help enable seamless data management across multiple clouds.