workload data

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Published By: VMTurbo     Published Date: Oct 24, 2013
This paper details VMTurbo’s approach to controlling workloads and the virtualized infrastructure in the desired state, leading to significant improvements in infrastructure efficiency and operational cost savings while assuring the storage performance of virtual workloads.
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vmturbo, software defined control, sdc, workload, rightsizing, workload rightsizing, optimization, workload configuration, virtual environment, infrastructure, virtualized infrastructure, operational cost, data center
    
VMTurbo
Published By: VMTurbo     Published Date: Mar 25, 2015
Intelligent N+X Redundancy, Placement Affinities, & Future Proofing in the Virtualized Data Center Virtualization brought about the ability to simplify business continuity management in IT. Workload portability and data replication capabilities mean that physical infrastructure failures no longer need impact application services, and they can rapidly be recovered even in the event of complete site failure. However, Enterprises and Service Providers face new challenges ensuring they have enough compute capacity in their virtualized data centers to support their business continuity requirements, while at the same time not over provisioning infrastructure capacity resulting in unnecessary capital expenditure.
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continuity requirements, vmturbo, virtualization, workload portability, data replication
    
VMTurbo
Published By: VMTurbo     Published Date: Jul 08, 2015
This whitepaper discusses the installation and use of VMTurbo in virtualized data center environments.
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workload performance, virtualization, data center, storage management, disaster recovery, performance management, storage control, productivity, database management
    
VMTurbo
Published By: IBM     Published Date: Nov 18, 2013
IBM DB2 offers multi-platform flexibility and optimized capabilities for a variety of workloads. This e-book highlights some common scenarios where DB2 helps businesses derive unprecedented value from expanding data stores—affordably and reliably.
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ibm, ibm db2, db2, acceleration, workload, data center, data management, database, data warehouse, data stores, flexibility, speed, optimization
    
IBM
Published By: Dell EMC     Published Date: May 29, 2015
EMC Enterprise Hybrid Cloud Solution Brings Private and Public Cloud Together - This Analyst Report addresses the challenge of managing and administering both on-premises private cloud and off-premises public cloud models together. The EMC Enterprise Hybrid Cloud solution simplifies deployment of a hybrid cloud operating model, enabling IT to become a broker of trusted cloud services sourced from on-prem private clouds and off-prem public clouds, enabling IT to support the ever-expanding set of workloads their business requires.
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cloud service, applications, workload, big data, software, hardware, portal
    
Dell EMC
Published By: Dell EMC     Published Date: May 12, 2016
XtremIO gives you unmatched efficiencies for all database workloads. A scale-out database storage platform that consolidates and accelerates everything. Supercharge production, dev/test, and BI/analytics workflows with incredible data reduction and copy data management services. You get incredible and predictable scale-out performance with a low total cost of ownership.
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xtremio, all-flash array, agility, application landscapes, data management services, scale-out performance
    
Dell EMC
Published By: Evident.io     Published Date: Nov 23, 2015
AWS is the most widely deployed public cloud infrastructure as a service (IaaS) solution in the world and is a leader in Gartner's Magic Quadrant for IaaS (see "Magic Quadrant for Cloud Infrastructure as a Service"). AWS offers a large number of built-in security capabilities (see Note 1), and questions on the proper practices for securing workloads in AWS are increasing.1 AWS is a not a "consumer grade" IaaS cloud. It is a market leader, with a portfolio of security capabilities and security ecosystem partners unmatched by other IaaS providers. However, simply moving existing workloads to AWS without rethinking security tools, processes and system management will result in workloads that are less secure than they were when located within enterprise data centers. Conversely, a properly managed and secured workload in AWS will be at least as — and, in most cases, more — secure than in an enterprise data center.
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security, best practices, web services, amazon, workload, aws, data centers, enterprise, cloud, infrastructure
    
Evident.io
Published By: HPE Intel     Published Date: Mar 09, 2016
State agency and higher education CIOs are under intense pressure to modernize their legacy IT systems. Whether that requires moving from one infrastructure to another, or moving to or from the cloud, the chief challenge remains: How to migrate data and applications without disrupting critical operations, ensure improved performance and avoid pricing and other traps that often accompany virtualizing in the cloud. Learn what’s made the difference in overcoming the impediments to workload migrations from IT leaders who’ve lived through big data and application moves. Topics include: Preparing workloads for cloud on-boarding – and off-boarding Tools for simplifying the consolidation and migration of apps and supporting services Forecasting workloads, and planning for associated testing, training, and other costs
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HPE Intel
Published By: CloudEndure     Published Date: Oct 12, 2018
Maintaining business continuity is your highest priority. In today’s commercial landscape, business continuity depends on the efficient, uninterrupted flow of data across the organization – from operations to sales to fulfillment. Even a brief lapse in workload continuity can mean thousands of lost sales opportunities, disruption to production, and compromised customer trust. The causes of those lapses can range from natural disasters to mechanical failure or human error. You need a data platform and a proactive disaster recovery (DR) strategy that will help you stay up and running in the event that your physical infrastructure is unavailable for any length of time. BUSINESS CONTINUITY Fulfilling orders, providing a high level of customer service, and keeping consumers engaged all depend on the efficient, uninterrupted flow of data throughout your organization. CUSTOMER TRUST Above all, protecting customer data—especially personally identifiable information (PII) —is critical
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CloudEndure
Published By: AWS     Published Date: Nov 28, 2018
Financial institutions run on data: collecting it, analyzing it, delivering meaningful insights, and taking action in real time. As data volumes increase, organizations demand a scalable analytics platform that can meet the needs of data scientists and business users alike. However, managing an on-premises analytics environment for a large and diverse user base can become time-consuming, costly, and unwieldy. Tableau Server on Amazon Web Services (AWS) is helping major Financial Services organizations shift data visualization and analytics workloads to the cloud. The result is fewer hours spent on manual work and more time to ask deeper questions and launch new data analyses, with easily-scalable support for large numbers of users. In this webinar, you’ll hear how one major asset management company made the shift to cloud data visualization with Tableau Server on AWS. Discover lessons learned, best practices tailored to Financial Services organizations, and starting tactics for scalable analytics on the cloud.
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AWS
Published By: VMware AirWatch     Published Date: May 18, 2016
Organizations that invest in proprietary applications and data for competitive advantage in their industries only succeed by making those investments available to employees, customers, and partners that drive revenue and opportunity. Securing those investments requires a fresh perspective as the types of devices accessing the cloud datacenter are changing rapidly and new workloads, such as VDI desktops, are appearing more regularly alongside server workloads. These changes alter the potential attacks and potential threats to datacenters whose security primarily stands firm at the perimeter, however, within the data center the security is weak.
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data management, business practices, data center. data application, enterprise applications, security
    
VMware AirWatch
Published By: VMware     Published Date: Oct 08, 2010
This white paper covers the benefits of virtualization, including reduced costs, simplified management, and improved application availability and disaster protection.
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wmware, server virtualization, workload consolidation, simplified management, disaster protection, spending, data backup, recovery, data growth
    
VMware
Published By: Alert Logic     Published Date: Jun 12, 2014
In a relatively short time, cloud computing, specifically Infrastructure-as a-Service, has shifted from a new but unproven approach to an accepted, even inevitable, model. Driven by flexibility and efficiency, the question facing most organizations is not whether the cloud is part of their infrastructure plans, but which applications and workloads to move to the cloud and when. But even as the benefits of cloud and hosted models have become apparent, concerns persist about security, and an assumption lingers that the cloud is inherently less secure than an enterprise data center environment.
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cloud security, public cloud, amazon web services, cloud pci, secure cloud
    
Alert Logic
Published By: Gigaom     Published Date: Sep 17, 2019
Today’s data volumes, combined with the credo of data-driven everything, make for an analytics landscape radically different from that of years past. Delays involved in moving and shaping operational data into separate data warehouses, data lakes and standalone BI platforms can thwart effective operational analytics. In fact, for some organizations, such segregation of infrastructure and process may not work at all. Just because OLTP (Online Transactional Processing) and OLAP (Online Analytical Processing) are distinct workloads doesn’t mean they should take place on separate platforms. Sure, dedicated server nodes may make sense to optimize the performance of operational and analytical tasks, but they need to operate on the same data, in a coordinated fashion. Modern databases – serving the needs of both business analysts and application developers – are great platforms for implementing such business-forward architectures. To learn more, join us for this free 1-hour webinar from Gig
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Gigaom
Published By: Rackspace     Published Date: Mar 08, 2016
Determining which model works best for your organization means understanding the following requirements: Technical: Can the workload actually be hosted in the cloud? Compliance: Regulation may determine where and how their data and workloads can be run and stored. Security: Each workload has separate security requirements, creating challenges to run in the public cloud.
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cloud model, public cloud, diy cloud, hybrid cloud, rackspace, compliance, cloud security
    
Rackspace
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
LinuxONE from IBM is an example of a secure data-serving infrastructure platform that is designed to meet the requirements of current-gen as well as next-gen apps. IBM LinuxONE is ideal for firms that want the following: ? Extreme security: Firms that put data privacy and regulatory concerns at the top of their requirements list will find that LinuxONE comes built in with best-in-class security features such as EAL5+ isolation, crypto key protection, and a Secure Service Container framework. ? Uncompromised data-serving capabilities: LinuxONE is designed for structured and unstructured data consolidation and optimized for running modern relational and nonrelational databases. Firms can gain deep and timely insights from a "single source of truth." ? Unique balanced system architecture: The nondegrading performance and scaling capabilities of LinuxONE — thanks to a unique shared memory and vertical scale architecture — make it suitable for workloads such as databases and systems of reco
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Group M_IBM Q418
Published By: VMware     Published Date: Mar 08, 2012
This online eBook provides insight and advice on how to build an effective disaster recovery strategy in the evolving world of virtual infrastructures, while mitigating the impact of so-called 'Black Swan' events in the datacenter.
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wmware, server virtualization, workload consolidation, simplified management, disaster protection, spending, data backup, recovery, data growth
    
VMware
Published By: VMware     Published Date: Mar 08, 2012
The benefits of server virtualization extend far beyond infrastructure savings and server consolidation. An emerging technology trend is for IT managers worldwide to deploy virtualization to keep applications online and protect their businesses.
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wmware, server virtualization, workload consolidation, simplified management, disaster protection, spending, data backup, recovery, data growth
    
VMware
Published By: Adaptive Computing     Published Date: Feb 06, 2014
A new approach, known as “Big Workflow,” is being created by Adaptive Computing to address the needs of these applications. It is designed to unify public clouds, private clouds, Map Reduce-type clusters, and technical computing clusters. Download now to learn more.
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adaptive, ada[tive computing, big data, data center, workload management, servers, cloud, cloud computing, storage, data storage
    
Adaptive Computing
Published By: Pivot3     Published Date: Nov 01, 2017
I&O leaders desire more workload scaling from HCIS, but need more convincing. This Gartner research provides insight and guidance on adoption of this technology and its potential to handle more challenging workloads.
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hyperconverged integrated systems, infrastructure systems, enterprise workloads, data center, hybrid cloud
    
Pivot3
Published By: IBM     Published Date: Apr 16, 2014
IBM DB2 offers multi-platform flexibility and optimized capabilities for a variety of workloads. This e-book highlights some common scenarios where DB2 helps businesses derive unprecedented value from expanding data stores—affordably and reliably.
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ibm, ibm db2, platform, flexibility, workload, data stores, agile, infrastructure, data systems, big data, multiplaform
    
IBM
Published By: IBM     Published Date: Apr 16, 2014
DB2 BLU By Other Databases And More Wayne Kernochan, Infostructure Associates September 2013 Analyst Wayne Kernochan of Infostructure Associates documents the analytics speed-up capability of DB2 with BLU Acceleration and explains how DB2 BLU compares with competitors. His conclusion after reviewing test results? ""Not surprisingly, the results verified a consistent, roughly order-of-magnitude speedup using BLU Acceleration, against DB2 pre-BLU and against some obvious competitors ..."". What is his advice to readers about DB2 BLU? ""... if your upcoming database needs are analytics/BI/reporting-related, why would you not use BLU Acceleration for them? In other words, what are you waiting for?
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ibm, ibm db2, blu acceleration, acceleration, database solution, workload, configuration, testing, database management, query
    
IBM
Published By: IBM     Published Date: May 02, 2014
These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse.
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ibm, big data platform, architecting big data, analytics, intelligent business strategies, data complexity, data types, workload growth, workload complexity, big data analytic applications, operational decisions, multi-structured data, querying data, scalable data management, analytical ecosystem, hadoop solutions
    
IBM
Published By: Dell     Published Date: Aug 16, 2013
"Virtualization has changed the data center dynamic from static to fluid. While workloads used to be confined to the hardware on which they were installed, workloads today flow from host to host based on administrator-defined rules, as well as in reaction to changes in the host environment. The fluidic nature of the new data center has brought challenges to resource allocation; find out how your organization can stay ahead of the curve. Read the White Paper"
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best practices, cpu, memory, storage, vsphere, virtual
    
Dell
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