Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
Published By: Dell SB
Published Date: Jul 31, 2019
Take back control of your infrastructure projects and build the business
case using your own data with Dell EMC’s Live Optics. We can help
create a defensible proposal, unique to your environment,
using your Live Optics data.
Take the guess work out of your projects and build a new infrastructure
based on your actual needs.
When can we set up a call to discuss?
Distributed cloud architectures will play an important role in Communication Service Providers’ network transformations. The distributed cloud will be made of numerous edge locations, from the customer premises to mobile base stations to central offices, each of which has its benefits and constraints. CSPs will need to consider attributes such as performance, availability, security, integration, and data and traffic volume to optimize the infrastructure for a myriad of workloads. Learn more about Heavy Reading’s survey results on CSPs adopting a distributed cloud strategy and delivering new services in this white paper.
Published By: NTT Ltd.
Published Date: Aug 05, 2019
Enterprises preparing for a digital future have much to consider when they modernise their network infrastructure and have to contend with connectivity demands from their business units, staff, and customers. In this e-book, leaders from different parts of our business provide their perspectives on how to approach digital transformation. In our experience at Dimension Data, now part of NTT Ltd., you can’t look at any one piece of the infrastructure puzzle without looking at all of it. And it’s the network that holds all those pieces together.
Today’s security appliances and agents must wait until malware reaches the perimeter or endpoint before they can detect or prevent it. OpenDNS arrests attacks earlier in the kill chain. Enforcing security at the DNS layer prevents a malicious IP connection from ever being established or a malicious file from ever being downloaded. This same DNS layer of network security can contain malware and any compromised system from exfiltrating data. Command & control (C2) callbacks to the attacker’s botnet infrastructure are blocked over any port or protocol. Unlike appliances, the cloud service protects devices both on and off the corporate network. Unlike agents, the DNS layer protects every device connected to the network — even IoT. It is the easiest and fastest layer of security to deploy everywhere.
Both the speed of innovation and the uniqueness of cloud technology is
forcing security teams everywhere to rethink classic security concepts
and processes. In order to keep their cloud environment secure,
businesses are implementing new security strategies that address the
distributed nature of cloud infrastructure.
Security in the cloud involves policies, procedures, controls, and
technologies working together to protect your cloud resources, which
includes stored data, deployed applications, and more. But how do you
know which cloud service provider offers the best security services? And
what do you do if you’re working on improving security for a hybrid or
This ebook provides a security comparison across the three main public
cloud providers: Amazon Web Services (AWS), Microsoft Azure, and
Google Cloud Platform (GCP). With insight from leading cloud experts,
we also analyze the differences between security in the cloud and
on-premises infrastructure, debunk
Public clouds have fundamentally changed the way organizations build,
operate, and manage applications. Security for applications in the cloud
is composed of hundreds of configuration parameters and is vastly
different from security in traditional data centers. According to Gartner,
“Through 2020, at least 95% of cloud breaches will be due to customer
misconfiguration, mismanaged credentials or insider theft, not cloud
The uniqueness of cloud requires that security teams rethink classic
security concepts and adopt approaches that address serverless, dynamic,
and distributed cloud infrastructure. This includes rethinking security
practices across asset management, compliance, change management,
issue investigation, and incident response, as well as training and
We interviewed several security experts and asked them how public
cloud transformation has changed their cloud security and compliance
responsibilities. In this e-book, we will share the top
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
Data continues to grow at an astounding pace? As a result, data center space is becoming more scarce, as more arrays are acquired to store all of this data. Along with this data taking up space, it is also utilizing a great deal of power and cooling. In fact, the average data center in the U.S. uses approximately 34,000 kW of electricity each year, costing $180,000 in annual energy costs. As Infinidat set out to revolutionize the storage industry, one of our goals was to help consumers of storage build a more sustainable infrastructure that would be not only better for the environment, but also help them to save money as well. All of our patents come together to form InfiniBox, a storage solution that does just this.
Today, despite massive investments in data, IT infrastructure,
and analytics software, the adoption of analytics continues to lag
behind. In fact, according to Gartner, most organizations fail to hit
the 30% mark. That means that more than 70% of people at most
organizations are going without access to the critical information
they need to perform to the best of their abilities.
What’s stopping organizations from breaking through the 30%
barrier and driving the pervasive adoption of intelligence? Simple.
The majority of existing tools only cater to users who are naturally
analytically inclined—the analysts, data scientists, and architects
of the world. The other 70%—the people making the operational
decisions daily within a business—simply lack the time, skill, or
desire to seek out data and intelligence on their own.
HyperIntelligence helps organizations operationalize their
existing investments and arm everyone across the organization
with intelligence. Whether
Application performance and delivery have changed.
Should your network change too?
Cloud is changing the fundamentals of how IT teams deliver applications
and manage their performance. Applications are increasingly deployed
farther from users, crossing networks outside of IT’s direct control. Instead
of enterprise data centers, many apps now reside in public and hybrid cloud
environments. There are even new breeds of applications, built upon
microservices and containers.
Today, IT needs modern solutions that:
? Extend on-premises networks, apps, and infrastructure resources
to the cloud.
? Maintain high levels of performance, user experience, and security
across all applications, including microservices based apps.
? Sustain operational consistency across on-premises and
? Move away from the expense, complexity, and poor performance
of traditional networking methods.
These solutions are available for apps running on Google Cloud Platform
(GCP) through the allia
You may have read in the news about horrific security gaps that have the potential of bringing down whole infrastructures, leaking critical business and personal data, and exposing organizations to massive liability.
There is no question that improving organizations’ security posture is a critical requirement for infrastructure and security teams.
Improved business productivity often requires more efficient IT and more efficient IT cannot be achieved without a better understanding of the way business services are run and delivered. Configuration Management Databases (CMDBs) have emerged as a central component for Information Technology Infrastructure Library (ITIL) and business service management (BSM).
The average computer room today has cooling capacity that is nearly four times the IT heat load. Using data from 45 sites reviewed by Upsite Technologies, this white paper will show how you can calculate, benchmark, interpret, and benefit from a simple and practical metric called the Cooling Capacity Factor (CCF).
Calculating the CCF is the quickest and easiest way
to determine cooling infrastructure utilization and
potential gains to be realized by AFM improvements.
In the broadening data center cost-saving and energy efficiency discussion, data center physical infrastructure preventive maintenance (PM) is sometimes neglected as an important tool for controlling TCO and downtime. PM is performed specifically to prevent faults from occurring. IT and facilities managers can improve systems uptime through a better understanding of PM best practices.
Your business is changing. As a finance leader, you know that accounting is a labour-intensive, costly process where
systems often don’t allow for expedient exception handling and many days are fraught with difficulty in matching
invoices to other databases for reconciliation. Like most companies, you know where you want to go but may not have
infrastructure or internal expertise to handle electronic fund transfers, credit card payments or cheque processing— all
the pieces required to make your vision for an efficient, integrated operation a reality.
Edison has followed the development and use of Cisco’s Application Centric Infrastructure (ACI) over the past five years. Cisco ACI delivers an intent-based networking framework to enable agility in the datacenter. It captures higher-level business and user intent in the form of a policy and translates this intent into the network constructs necessary to dynamically provision the network, security, and infrastructure services.
The Secure Data Center is a place in the network (PIN) where a company centralizes data and performs services for business. Data centers contain hundreds to thousands of physical and virtual servers that are segmented by applications, zones, and other methods. This guide addresses data center business flows and the security used to defend them. The Secure Data Center is one of the six places in the network within SAFE. SAFE is a holistic approach in which Secure PINs model the physical infrastructure and Secure Domains represent the operational aspects of a network.
As digital business evolves, however, we’re finding that the best form of security and enablement will likely remove any real responsibility from users. They will not be required to carry tokens, recall passwords or execute on any security routines. Leveraging machine learning, artificial intelligence, device identity and other technologies will make security stronger, yet far more transparent. From a security standpoint, this will lead to better outcomes for enterprises in terms of breach prevention and data protection. Just as important, however, it will enable authorized users in new ways. They will be able to access the networks, data and collaboration tools they need without friction, saving time and frustration. More time drives increased employee productivity and frictionless access to critical data leads to business agility. Leveraging cloud, mobile and Internet of Things (IoT) infrastructures, enterprises will be able to transform key metrics such as productivity, profitabilit
At the heart of the Data Solved promise are three core attributes - People Powered, Technology Focused and Infrastructure Invested. We leverage our strong, diverse team of more than 700 employees to enable our Powered by People motto and deliver on our promise. With 24 data centers on four continents, we are poised to deliver world-class infrastructure and value added technology services to our more than 1,000 customers in North America, Europe, Asia and Australia.
The bar for success is rising in higher education. University leaders and IT administrators are aware of the compelling benefits of digital transformation overall—and artificial intelligence (AI) in particular. AI can amplify human capabilities by using machine learning, or deep learning, to convert the fast-growing and plentiful sources of data about all aspects of a university into actionable insights that drive better decisions. But when planning a transformational strategy, these leaders must prioritize operational continuity. It’s critical to protect the everyday activities of learning, research, and administration that rely on the IT infrastructure to consistently deliver data to its applications.
Powerful IT doesn’t have to be complicated. Hyperconvergence puts your entire virtualized infrastructure and advanced data services into one integrated powerhouse. Deploy HCI on an intelligent fabric that can scale with your business and you can hyperconverge the entire IT stack. This guide will help you: Understand the basic tenets of hyperconvergence and the software-defined data center; Solve for common virtualization roadblocks; Identify 3 things modern organizations want from IT; Apply 7 hyperconverged tactics to your existing infrastructure now.
"IT needs to reach beyond the traditional data center and the public cloud to form and manage a hybrid connected system stretching from the edge to the cloud, wherever the cloud may be. We believe this is leading to a new period of disruption and development that will require organizations to rethink and modernize their infrastructure more comprehensively than they have in the past.
Hybrid cloud and hybrid cloud management will be the key pillars of this next wave of digital transformation – which is on its way much sooner than many have so far predicted. They have an important role to play as part of a deliberate and proactive cloud strategy, and are essential if the full benefits of moving over to a cloud model are to be fully realized."