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data center premise

Results 1 - 21 of 21Sort Results By: Published Date | Title | Company Name
Published By: Juniper Networks     Published Date: Sep 26, 2019
"SD-WAN largely exists today to support two key enterprise transformations: multicloud and the software-defined branch (SD-Branch). Multicloud has changed the center of gravity for enterprise applications, and with that, has changed traffic patterns too. No longer does traffic need to flow to enterprise data center sites or central internet peering points and breakouts. That’s because most traffic from users and devices in the enterprise campus and branch today goes to cloud-based applications scattered across a host of clouds. It’s neither economical nor efficient to haul traffic over WAN-dedicated links to a central enterprise site. So to optimize the cost and performance of multicloud-bound traffic, modern WAN edge routers, often called customer premises equipment (CPE), are now equipped with hybrid WAN links and routing. Hybrid WAN interfaces may include WAN provider-dedicated links such as MPLS, as well as direct internet links over xDSL, broadband and 4G/LTE wireless."
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Juniper Networks
Published By: Oracle CX     Published Date: Oct 20, 2017
Replacing your aging infrastructure with a modern Oracle SPARC and Solaris architecture boosts the security, efficiency and performance of your data center. But, what about ongoing business growth and expansion? With the same architecture on-premises and in the Oracle Cloud, SPARC provides the easiest, most cost effective approach to modernizing your business infrastructure.
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Oracle CX
Published By: Akamai Technologies     Published Date: Aug 17, 2017
The cloud is a network of servers housing data, software, and services. Cloud services are commonly accessed via the Internet, instead of locally in a data center. Businesses are increasingly relying on the cloud for cybersecurity for two key reasons: 1. Due to a changing threat landscape, there’s a need for more scale, accuracy, experience, and collective intelligence. These resources are out of reach internally for most organizations. 2. There are fundamental limits with on-premises hardware mitigation appliances and enterprise data centers for Distributed Denial of Service (DDoS) and web attack protection.
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cloud security, scale, data center, ddos
    
Akamai Technologies
Published By: IBM APAC     Published Date: Apr 26, 2017
Moving workloads from an on-premise software-defined data center to the cloud is an extremely stressful time for CIOs. But with the powerful IBM-VMware alliance, businesses can now extend their VMware workloads from on-premises environment to the IBM® Cloud within hours, not weeks.
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ibm cloud, vmware, cloud, cios, best practices
    
IBM APAC
Published By: VMware     Published Date: Jul 01, 2016
This guide will help you leverage opportunities in the public cloud in ways that make sense no matter where you are on the cloud adoption spectrum. If you are running a VMware vSphere®-powered Data Center, it may be time to modernize your infrastructure with VMware vCloud® Air™, the ready-to-run public cloud for protecting, extending, and replacing on-premises vSphere workloads. Read the eBook for tips and tricks, lessons learned from other organizations, and links to additional resources to help you get started.
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vmware data center, vcloud air, vsphere, hybrid cloud, public cloud, private cloud, disaster recovery, data center extension
    
VMware
Published By: VMware     Published Date: Jul 01, 2016
Learn why VMware vSphere® users across multiple industries turned to VMware vCloud® Air™, the ready-to-run public cloud built on vSphere, to modernize their data centers. While each organization’s story may be unique, VMware vSphere customers can quickly realize the cost-effectiveness and operational efficiencies that the public cloud delivers—without compromising the investments they’ve made in their on-premises data centers.
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vmware data center, vcloud air, vsphere, hybrid cloud, public cloud, private cloud, disaster recovery, data center extension
    
VMware
Published By: Schneider Electric     Published Date: Feb 06, 2018
Expert insights. Free report download!
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hybrid it, hybrid it data center, data center management, data center cloud, data center on premise
    
Schneider Electric
Published By: Schneider Electric     Published Date: Apr 20, 2018
In this paper, we describe and critique the common physical infrastructure practices seen today, propose a method of analyzing the resiliency needed, and discuss best practices that will ensure employees remain connected to their business critical applications.
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data center, edge computing, cloud computing, on-premise, power, cooling, networking, redundancy
    
Schneider Electric
Published By: Druva     Published Date: Nov 09, 2018
The all-encompassing data center is a thing of the past. Modern data environments are distributed and include remote and branch offices, mobile devices, and the Internet of Things (IoT) as well as cloud solutions such as infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). There’s more critical data to back up than ever before. Plus, data silos and fragmented management mean poor visibility, which can make it difficult to comply with regional data residency and security rules as well as service-level agreements (SLAs). On-premises data protection has not kept pace. According to a survey by Fujitsu, 45% of IT managers said they had lost data or productivity related to data protection inefficiency within the last year.1 Often, this is because on-premises backups are cumbersome and do not always happen on time.
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Druva
Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19
Published By: Juniper Networks     Published Date: Feb 05, 2018
Data center requirements are shifting as the business environment evolves to leverage new technologies. Organizations are turning to multicloud environments comprising a mix of private cloud, public cloud, and on-premise infrastructure to best address their unique needs. Understandably, this shift is putting a renewed emphasis on security, automation, orchestration, and agility. IT leaders are responding by building and deploying multicloud data center networks that leverage automation and software-defined networks (SDN) as a cost effective means of providing dynamic network control. Of course, while many organizations are recognizing the need for a data center upgrade, not all have the same drivers. All, however, need to make a business case for the investment. Here are four common inflection points that can help you to justify the need for data center upgrades that support business goals.
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network, performance, data, security, efficiency, iot
    
Juniper Networks
Published By: Cisco and NVIDIA Corporation     Published Date: Oct 22, 2018
Citrix and Google are collaborating to bring the best, most secure way to deliver virtual apps and desktops from Google Cloud. The Citrix Workspace solutions traditionally installed on data center servers—including Citrix Virtual Apps and Desktops, Citrix Networking, and Citrix Content Collaboration (formerly known as Citrix ShareFile)—are now enabled on Google Cloud Platform services. Citrix enables customers to choose the workload deployment option that best aligns with their enterprise cloud strategy and offers a variety of ways to securely deploy Citrix solutions to meet unique application needs. Whether deployed on-premises, cloud-hosted, as a Citrix Workspace service, or with a service provider—customers choose how much and which components of app workloads to manage and when and where to securely deploy business apps, data, and desktops.
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Cisco and NVIDIA Corporation
Published By: Cisco and NVIDIA Corporation     Published Date: Sep 09, 2019
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 cloud environments. ? 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
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Cisco and NVIDIA Corporation
Published By: Oracle     Published Date: Oct 20, 2017
Replacing your aging infrastructure with a modern Oracle SPARC and Solaris architecture boosts the security, efficiency and performance of your data center. But, what about ongoing business growth and expansion? With the same architecture on-premises and in the Oracle Cloud, SPARC provides the easiest, most cost effective approach to modernizing your business infrastructure. Download this whitepaper to completely understand the value of the Oracle SPARC and the 5 reasons to modernize your data center with Oracle SPARC.
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Oracle
Published By: Cohesity     Published Date: Aug 09, 2019
IT organizations everywhere are undergoing significant transformation to keep pace with the needs of their businesses. They’re tasked with consolidating data centers and migrating both workloads and data to the cloud. The transition has been easier for some than others. As hybrid architectures increasingly become the norm, how are enterprises gaining complete visibility, simplifying management, and making use of all of their data—both on-premises and in the cloud? Five enterprises explain how they’ve replaced multiple products that created legacy data silos with Cohesity – a single, hyperconverged softwaredefined platform with native Microsoft Azure integration for simplified secondary data and applications. For them, Cohesity and Azure together boost IT agility while lowering costs, solving critical secondary data challenges from long-term retention, storage tiering, test/dev, disaster recovery and cloud-native backup in a proven hybrid cloud architecture.
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Cohesity
Published By: VMTurbo     Published Date: Mar 25, 2015
Managing the Economics of Your Virtualized Data Center The average datacenter is 50% more costly than Amazon Web Services. As cloud economics threaten the long-term viability of on premise data centers, the survival of IT organizations rests solely in the ability to maximize the operational and financial returns of their existing infrastructure. You will survive, and this brand new whitepaper will help you to follow these 4 best practices: - Maximize the efficiency of your virtual data center. - Optimize workload placement within your clusters. - Reclaim unused server capacity. - And show your boss that this saves money.
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datacenter costs, virtualized data center, amazon web services, cloud economics, server capacity, it management, knowledge management, enterprise applications
    
VMTurbo
Published By: IBM     Published Date: Oct 31, 2014
Cloud computing, mobility, social technology, DevOps, embedded intelligence, and big data bring complexity to the datacenter. To cope, IT leaders are turning to new IT service management tools to help them analyze and optimize their on-premises, cloud, and hybrid operations while accelerating their pace of innovation.
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it delivery, smarter it, social technology, devops
    
IBM
Published By: Data Center Frontier LLC     Published Date: Sep 24, 2019
The hyperscale data center is reshaping the global IT landscape, shifting data from on-premises computer rooms and IT closets to massive centralized data center hubs. Workloads are consolidating in the world’s largest and most efficient facilities. These cloud campuses offer economies of scale, enabling hyperscale operators to rapidly add server capacity and electric power.
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Data Center Frontier LLC
Published By: NetApp     Published Date: Nov 14, 2017
As companies’ transition to become digital enterprises, they must increasingly manage cost and performance across a hybrid IT environment. On-demand consumption strategies can be used to optimize your data storage costs, whether you are running applications in a private data center, across a hybrid cloud, or in the public cloud. Read this eBook and learn how on-demand consumption models can help you align IT spending with your business needs, both on-premises and in the cloud.
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NetApp
Published By: Group M_IBM Q2'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
Tags : 
    
Group M_IBM Q2'19
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