data infrastructure

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Published By: CDW     Published Date: Nov 12, 2012
The demand on your data center is growing and we get it. CDW has helped many organizations implement a server virtualization solution to help optimize their infrastructure.
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server virtualization, data centers, infrastructure
    
CDW
Published By: CDW     Published Date: Nov 12, 2012
This white paper will explain DCIM as well as provide technology advice on teh tools and practices for its implementation and use, and how to take advantage of DCIM to improve energy efficiency and effectiveness in the data center.
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data center, infrastructure
    
CDW
Published By: CDW     Published Date: Nov 12, 2012
Data center priorities have been consistent for some time: Improve efficiency, increase uptime and meet compliance regulations are IT mantras.
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data centers, infrastructure, it infrastructure, data center convergence
    
CDW
Published By: Wolfe     Published Date: Apr 18, 2013
Cloud services create a compelling case to move application processing and storage out of the data center and onto the network.
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ethernet, cloud, application processing, storage, data center, network, voip, unified communications
    
Wolfe
Published By: VMware, Inc     Published Date: Oct 28, 2014
For organizations with disaster recovery services in place, the challenge often lies in supporting the ongoing maintenance and re-evaluating the initial investment versus newer offerings as their environment continues to expand, or leases expire. Fortunately, the landscape of disaster recovery solutions is shifting to accommodate changing IT needs. VMware vCloud® Air™ Disaster Recovery provides simple, affordable, automated processes for replicating and recovering critical applications and data — at a fraction of the cost of duplicating infrastructure or maintaining additional data centers. Organizations can afford to scale their efforts as needed, with flexible terms and resource options.
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cloud, disaster recovery, infrastructure, automated processes, replication
    
VMware, Inc
Published By: NetApp     Published Date: Jun 01, 2017
In this comprehensive report, Gartner reviews how IT leaders must apply a future-looking, enterprise wide IT strategy to determine where to place applications and workloads – on premises or in the cloud.
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netapp, gartner, it infrastracture, cloud
    
NetApp
Published By: NetApp     Published Date: Sep 21, 2017
Introduction to Guaranteed Quality of Service is an in-depth account of the crucial importance of incorporating Quality of Service (QoS) technology within data storage architecture, outlining how QoS is the critical factor in enabling dependable storage performance for business-critical applications in a multi-tenant or enterprise infrastructure.
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netapp, database performance, flash storage, data management, cost challenges, service
    
NetApp
Published By: NetApp     Published Date: Sep 21, 2017
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.
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netapp, database performance, flash storage, data management, cost challenges, all-flash
    
NetApp
Published By: NetApp     Published Date: May 29, 2018
This white paper discusses AI infrastructure challenges and how NetApp can help you build a data pipeline for your deep learning workflows today, while future-proofing investments in your AI infrastructure. Careful infrastructure planning can smooth the flow of data through your deep learning pipeline, lead to faster time to deployment, and maximize competitive differentiation.
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NetApp
Published By: Dell EMC     Published Date: May 15, 2015
This Wikibon research shows that flash will become the lowest cost media for almost all storage from 2016 and beyond, and that a shared data philosophy is required to maximize the potential from both storage cost and application functionality perspectives.
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emc, storage all-flash, array, architectures, workload, data center, scale, storage
    
Dell EMC
Published By: Dell EMC     Published Date: Aug 03, 2015
XtremIO reduces datacenter footprint and complexity with unstoppable in-line data reduction capabilities which address storage sprawl for Exchange databases. Thin provisioning doesn’t just eliminate space at the end of the drive, it eliminates all of the whitespace found within the database!
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data reduction, deployment approaches, emc, exchange server, database availability, compression, cloud infrastructure, datacenter footprint reduction
    
Dell EMC
Published By: FICO     Published Date: Jun 07, 2016
With the increasing mainstream adoption of big data infrastructure — highly distributed file storage and query tools — more businesses are taking a new look at what business intelligence and analytics can do to grow revenue, increase profits and ultimately develop strategic relationships with customers.
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FICO
Published By: Secureworks     Published Date: Oct 04, 2017
Secureworks has been tracking cybercrime activity for more than 10 years and, as we monitor this activity to protect our clients, we collect a large amount of data on both the criminals and their infrastructure and systems. This annual report presents an overview of the cybercrime landscape and trends we observed primarily from the period of mid-2016 to May 2017, in addition to a handful of other trends ranging from 2015 to 2016.
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Secureworks
Published By: Carbonite     Published Date: Oct 10, 2018
In the last few years, businesses have changed the way they protect data. Studies show they’re abandoning traditional backup and recovery in favor of disaster recovery as a service (DRaaS).1 With DRaaS, businesses enjoy the luxury of keeping a replica of their data hosted at a remote site that they can fail over to in an emergency—without bearing any of the infrastructure costs or maintenance responsibilities. All infrastructure and maintenance is the responsibility of the provider. Gartner predicts that global DRaaS revenue will reach $3.4 billion by 2019. The firm cited several reasons for the shift:
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Carbonite
Published By: Carbonite     Published Date: Oct 10, 2018
These days, a lot of organizations are looking to the cloud to help them protect their data. They wish to take advantage of the appealing economics and operational agility that are two of the biggest attributes of a cloud-based IT infrastructure. Leveraging the cloud can be a smart choice for any organization interested in gaining more control over costs (i.e., almost all organizations). According to ESG research, reducing costs was the second most commonly reported business driver affecting IT spending in 2016
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Carbonite
Published By: Google     Published Date: Sep 27, 2017
Download the whitepaper for a look under the hood of Google’s infrastructure security, and explicit detail on the process we go through to build and maintain GCP regions. Download the report and find out more now.
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cloud, data, infrastructure, lifecycle
    
Google
Published By: Cohesity     Published Date: May 04, 2018
Cohesity provides the only hyper-converged platform that eliminates the complexity of traditional data protection solutions by unifying your end-to-end data protection infrastructure – including target storage, backup, replication, disaster recovery, and cloud tiering. Cohesity DataPlatform provides scale-out, globally deduped, highly available storage to consolidate all your secondary data, including backups, files, and test / dev copies. Cohesity also provides Cohesity DataProtect, a complete backup and recovery solution fully converged with Cohesity DataPlatform. It simplifies backup infrastructure and eliminates the need to run separate backup software, proxies, media servers, and replication. This paper specifically focuses on the business and technical benefits of Cohesity DataPlatform for the data protection use case. It is intended for IT professionals interested in learning more about Cohesity’s technology differentiation and advantages it offers for data protection - (i) Elim
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Cohesity
Published By: Cohesity     Published Date: May 09, 2018
The growing importance—and complexity—of data protection means old approaches no longer will get the job done in an era of exploding data volumes and ever-changing business requirements. It’s time to reimagine and reengineer your IT infrastructure for a more efficient, affordable and manageable data protection framework.
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Cohesity
Published By: Splunk     Published Date: Sep 10, 2018
The financial services industry has unique challenges that often prevent it from achieving its strategic goals. The keys to solving these issues are hidden in machine data—the largest category of big data—which is both untapped and full of potential. Download this white paper to learn: *How organizations can answer critical questions that have been impeding business success *How the financial services industry can make great strides in security, compliance and IT *Common machine data sources in financial services firms
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures
    
Splunk
Published By: Splunk     Published Date: Sep 10, 2018
One of the biggest challenges IT ops teams face is the lack of visibility across its infrastructure — physical, virtual and in the cloud. Making things even more complex, any infrastructure monitoring solution needs to not only meet the IT team’s needs, but also the needs of other stakeholders including line of business (LOB) owners and application developers. For companies already using a monitoring platform like Splunk, monitoring blindspots arise from the need to prioritize across multiple departments. This report outlines a four-step approach for an effective IT operations monitoring (ITOM) strategy. Download this report to learn: How to reduce monitoring blind spots when creating an ITOM strategy How to address ITOM requirements across IT and non-IT groups Distinct layers across ITOM Potential functionality gaps with domain-specific products
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures
    
Splunk
Published By: Splunk     Published Date: Nov 29, 2018
Gartner Market Share Analysis: ITOM, Performance Analysis Software, Worldwide, 2017 Splunk Jumps From #5 in 2016 to #2 in Top 10 Named ITOM Performance Analysis Software Vendors, Worldwide, 2017 Splunk is ranked #2 of overall ITOM Performance Analysis Software Vendors, according to Gartner’s report, Market Share Analysis: ITOM, Performance Analysis Software, Worldwide, 2017. This Gartner report also lists Splunk as one of several disruptors in the table “Market Share of Incumbents vs. Disruptors - ITOM Performance Analysis Software.” As a Splunk customer, are you utilizing your machine data platform to its fullest potential? Learn about newest trends in ITOM software tools across AIOps, APM, infrastructure monitoring and Network performance monitoring and diagnostics. Download this report to learn: 2017 rankings of performance analysis software vendors, overall and subsegments How digital business is driving demand for modern, agile monitoring tools via DevOps toolchains Shifts in
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application performance monitoring, network tools, network monitoring tools, network monitoring software, network monitoring, it monitoring
    
Splunk
Published By: Splunk     Published Date: Nov 29, 2018
IT organizations struggle with numerous challenges — hybrid environments, lack of visibility during cloud migration, multiple infrastructure monitoring tools, and reliance on manual processes. Yet according to a 2018 global survey, less than half of IT practitioners are confident they can ensure performance and system availability with their current toolset. As a Splunk customer, you understand the power of running your monitoring and logging environment in a machine data platform. Are you utilizing your machine data platform to effectively run APM, infrastructure monitoring and Network performance monitoring and diagnostics? This guide outlines the 8 biggest mistakes IT practitioners make and provides solutions, key takeaways and real-world examples to help you improve IT monitoring and troubleshooting in your organization. Download your copy to learn how to: Achieve end-to-end-visibility throughout cloud migration Find trends and root cause faster with automated investigations
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application performance monitoring, network tools, network monitoring tools, network monitoring software, network monitoring, it monitoring
    
Splunk
Published By: Cisco Umbrella EMEA     Published Date: Aug 08, 2019
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.
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Cisco Umbrella EMEA
Published By: Group M_IBM Q119     Published Date: Mar 08, 2019
The transformation imperative is now the imperative of the entire enterprise. The challenge to leaders of top financial services firms is to build operating models that are ready for anything. Join American Banker Editor-at-Large, Penny Crosman, and former IBM Global leader for strategy and design, Robert Schwartz, as they discuss this idea, pulling clips from a recent event for industry leaders, including: Bridget van Kalingen, IBM on redefining success with cloud, AI, quantum and blockchain Shari van Cleave, Wells Fargo on rethinking data strategies in the age of AI Bret King, Moven on rebuilding the bank from the ground up Rob Bauer, AIG on the ways to get started with transformative projects Marty Lippert, MetLife on creating space for innovation by migrating core operations off of legacy infrastructure and many more
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Group M_IBM Q119
Published By: IBM APAC     Published Date: May 14, 2019
Clients can realize the full potential of artificial intelligence (AI) and analytics with IBM’s deep industry expertise, technology solutions and capabilities and start to infuse intelligence into virtually every business decision and process. IBM’s AI & Analytics Services organization is helping enterprises get their data ready for AI and ultimately achieve stronger data-driven decisions; access deeper insights to provide improved customer care; and develop trust and confidence with AI-powered technologies focused on security, risk and compliance. Artificial intelligence (AI) is moving beyond the hype cycle, as more and more organizations seek to adopt AI-related technologies. These organizations are focusing on prioritizing functional areas and use cases, placing a stronger emphasis on topline growth, taking up a renewed interest in their data infrastructure and articulating greater unease about the skills of their knowledge workers. This report explores how they are approaching str
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IBM APAC
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