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By: NetApp     Published Date: Dec 18, 2013
IT managers have indicated their two most significant challenges associated with managing unstructured data at multiple locations were keeping pace with data growth and improving data protection . Learn how the NetApp Distributed Content Repository provides advanced data protection and system recovery capabilities that can enable multiple data centers and remote offices to maintain access to data through hardware and software faults. Key benefits are: - continuous access to file data while maintaining data redundancy with no administrator intervention needed. - easily integrated and deployed into a distributed environment, providing transparent, centrally managed content storage - provision of secure multi-tenancy using security partitions. - provision effectively infinite, on-demand capacity while providing fast access to files and objects in the cloud. - secure, robust data protection techniques that enable data to persist beyond the life of the storage it resides on
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     NetApp
By: IBM     Published Date: Sep 02, 2014
This book examines data storage and management challenges and explains software-defined storage, an innovative solution for high-performance, cost-effective storage using the IBM General Parallel File System (GPFS).
Tags : ibm, software storage for dummies
     IBM
By: IBM     Published Date: Sep 02, 2014
With tougher regulations and continuing market volatility, financial firms are moving to active risk management with a focus on counterparty risk. Firms are revamping their risk and trading practices from top to bottom. They are adopting new risk models and frameworks that support a holistic view of risk. Banks recognize that technology is critical for this transformation, and are adding state-of-the-art enterprise risk management solutions, high performance data and grid management software, and fast hardware. Join IBM Algorithmics and IBM Platform Computing to gain insights on this trend and on technologies for enabling active "real-time" risk management.
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     IBM
By: IBM     Published Date: Sep 02, 2014
Learn how to manage storage growth, cost and complexity, while increasing storage performance and data availability with IBM Software Defined Storage solutions including the IBM General parallel File System (GPFS).
Tags : ibm, storage for dummies
     IBM
By: IBM     Published Date: May 20, 2015
Software defined storage is enterprise class storage that uses standard hardware with all the important storage and management functions performed in intelligent software. Software defined storage delivers
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     IBM
By: IBM     Published Date: May 20, 2015
Join IBM and Nuance Communications Inc. to learn how Nuance uses IBM Elastic Storage to improve the power of their voice recognition applications by managing storage growth, cost and complexity while increasing performance and data availability. View the webcast to learn how you can: · Lower data management costs through policy driven automation and tiered storage management · Manage and increase storage agility through software defined storage Remove data related bottlenecks to deliver application performance
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     IBM
By: IBM     Published Date: Sep 16, 2015
6 criteria for evaluating a high-performance cloud services providers Engineering, scientific, analytics, big data and research workloads place extraordinary demands on technical and high-performance computing (HPC) infrastructure. Supporting these workloads can be especially challenging for organizations that have unpredictable spikes in resource demand, or need access to additional compute or storage resources for a project or to support a growing business. Software Defined Infrastructure (SDI) enables organizations to deliver HPC services in the most efficient way possible, optimizing resource utilization to accelerate time to results and reduce costs. SDI is the foundation for a fully integrated environment, optimizing compute, storage and networking infrastructure to quickly adapt to changing business requirements, and dynamically managing workloads and data, transforming a s
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     IBM
By: EMC     Published Date: Jun 13, 2016
EMC Isilon Cloudpools software provides policy-based automated tiering that lets you seamlessly integrate with the cloud as on additional storage tier for the isilon cluster at your data center.
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     EMC
By: EMC     Published Date: Jun 13, 2016
The EMC IsilonSD product family combines the power of Isilon scale-out NAS with the economy of software-defined storage. IsilonSD Edge is purpose built to address the needs associated with growing unstructured data in enterprise edge location including remote and branch offices.
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     EMC
By: IBM     Published Date: Feb 13, 2015
To quickly and economically meet new and peak demands, Platform LSF (SaaS) and Platform Symphony (SaaS) workload management as well as Elastic Storage on Cloud data management software can be delivered as a service, complete with SoftLayer cloud infrastructure and 24x7 support for technical computing and service-oriented workloads. Watch this demonstration to learn how the IBM Platform Computing Cloud Service can be used to simplify and accelerate financial risk management using IBM Algorithmics.
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     IBM
By: IBM     Published Date: Feb 13, 2015
Software defined storage is enterprise class storage that uses standard hardware with all the important storage and management functions performed in intelligent software. Software defined storage delivers automated, policy-driven, application-aware storage services through orchestration of the underlining storage infrastructure in support of an overall software defined environment.
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     IBM
By: Intel     Published Date: Aug 06, 2014
Purpose-built for use with the dynamic computing resources available from Amazon Web Services ™, the Intel Lustre* solution provides the fast, massively scalable storage software needed to accelerate performance, even on complex workloads. Intel is a driving force behind the development of Lustre, and committed to providing fast, scalable, and cost effective storage with added support and manageability. Intel ® Enterprise Edition for Lustre* software is the ideal foundation. *Other names and brands may be claimed as the property of others.
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     Intel
By: Intel     Published Date: Aug 06, 2014
Around the world and across all industries, high-performance computing is being used to solve today’s most important and demanding problems. More than ever, storage solutions that deliver high sustained throughput are vital for powering HPC and Big Data workloads. Intel® Enterprise Edition for Lustre* software unleashes the performance and scalability of the Lustre parallel file system for enterprises and organizations, both large and small. It allows users and workloads that need large scale, high- bandwidth storage to tap into the power and scalability of Lustre, but with the simplified installation, configuration, and monitoring features of Intel® Manager for Lustre* software, a management solution purpose-built for the Lustre file system.Intel ® Enterprise Edition for Lustre* software includes proven support from the Lustre experts at Intel, including worldwide 24x7 technical support. *Other names and brands may be claimed as the property of others.
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     Intel
By: Intel     Published Date: Aug 06, 2014
Powering Big Data Workloads with Intel® Enterprise Edition for Lustre* software The Intel® portfolio for high-performance computing provides the following technology solutions: • Compute - The Intel® Xeon processor E7 family provides a leap forward for every discipline that depends on HPC, with industry-leading performance and improved performance per watt. Add Intel® Xeon Phi coprocessors to your clusters and workstations to increase performance for highly parallel applications and code segments. Each coprocessor can add over a teraflops of performance and is compatible with software written for the Intel® Xeon processor E7 family. You don’t need to rewrite code or master new development tools. • Storage - High performance, highly scalable storage solutions with Intel® Lustre and Intel® Xeon Processor E7 based storage systems for centralized storage. Reliable and responsive local storage with Intel® Solid State Drives. • Networking - Intel® True Scale Fabric and Networking technologies – Built for HPC to deliver fast message rates and low latency. • Software and Tools: A broad range of software and tools to optimize and parallelize your software and clusters. Further, Intel Enterprise Edition for Lustre software is backed by Intel, the recognized technical support providers for Lustre, and includes 24/7 service level agreement (SLA) coverage.
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     Intel
By: GridGain     Published Date: Mar 10, 2015
Software as a Service (SaaS) is a software distribution model in which applications are hosted by a vendor or service provider and made available to customers over the Internet. Instead of companies installing software on their own servers, known as the on premises distribution model, application software providers host the software in the cloud and charge customers according to the time they spend using the software, or based on a monthly or annual fee. SaaS is becoming increasingly popular, and as the industry develops, more and more companies are dropping older business models in favor of this rapidly evolving methodology.
Tags : gridgain, saas, saas perfomance and scalability, in memory computing, data fabric, paas for saas, data grid, real-time streaming, hadoop
     GridGain
By: snowflake     Published Date: Jun 09, 2016
Why Read This Report In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. Forrester identified the 10 most significant EDW software and services providers — Actian, Amazon Web Services (AWS), Hewlett Packard Enterprise (HPE), IBM, Microsoft, Oracle, Pivotal Software, SAP, Snowflake Computing, and Teradata — in the category and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help enterprise architect professionals select the right solution to support their data warehouse platform.
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     snowflake
By: Zendesk     Published Date: Jun 29, 2018
In the global market for customer service software, Zendesk is once again recognized as a leader in the 2018 Gartner Magic Quadrant for the CRM Customer Engagement Center. Every year, Gartner conducts a thorough analysis of service providers in the customer service and support application space. We believe the Gartner Magic Quadrant for the CRM Customer Engagement Center report provides valuable information for business leaders who seek technology solutions for interacting and engaging with their customers. Zendesk can again be found in the 2018 report’s Leader quadrant, which we consider a reflection of the success of our 125,000 customers, including enterprise clients like Airbnb, Tesco, and the University of Tennessee. The past year alone has included a number of significant milestones for us, including the release of AI-enhanced features for self-service and surpassing $500 million run rate in revenue. As our customer base continues to grow, we strive to be a dynamic vendor for bus
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     Zendesk
By: Amazon Web Services     Published Date: Jul 25, 2018
IDC’s research has shown the movement of most IT workloads to the cloud in the coming years. Yet, with all the talk about enterprises moving to the cloud, some of them still wonder if such a move is really cost effective and what business benefits may result. While the answers to such questions vary from workload to workload, one area attracting particular attention is that of the data warehouse. Many enterprises have substantial investments in data warehousing, with an ongoing cost to managing that resource in terms of software licensing, maintenance fees, operational costs, and hardware. Can it make sense to move to a cloud-based alternative? What are the costs and benefits? How soon can such a move pay itself off? Download now to find out more.
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     Amazon Web Services
By: Dell Server     Published Date: Aug 07, 2018
Today’s digital businesses are managed using critical business analyses that provide far greater insight into the business and how to maximize results. However, these high-value applications that use the latest software tools demand far more from IT infrastructure, as they utilize an order of magnitude more data and demand more compute resources than legacy applications. Legacy systems are no longer capable of meeting the present and future needs of the organization.
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     Dell Server
By: CA Technologies EMEA     Published Date: Sep 07, 2018
Continuous testing is the practice of testing across every activity in the SDLC to uncover and fix unexpected behaviors as soon as they are injected. Continuous testing is the embedding of testing as a fundamental and ongoing aspect of every activity through the application lifecycle, from requirements through production, to ensure the business value is being achieved as expected. As the pace of business continues to quicken, companies are starting to recognize that to stay competitive the process of developing and releasing software needs to change. Release cadence has greatly accelerated. There is no occasion anymore for a six- to 18-month find-and-fix turnaround in which the customer will find the delay acceptable. Things need to move faster, and they need to be ready and perfect faster. Download this whitepaper to find out how CA Technologies can help with your Continuous Testing.
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     CA Technologies EMEA
By: CA Technologies EMEA     Published Date: Sep 07, 2018
Business applications have become the battleground for customer loyalty. To compete, IT organizations are under pressure to deliver applications faster and with higher quality. Continuous Delivery (CD) of code offers a solution. CD may be paired with DevOps, Agile and other methodologies. However, QA and testing can be an obstacle to CD’s rapid development and deployment of high quality code. Testers and developers must engage in Continuous Testing, continuously testing software for performance, quality and user experience as it’s being developed. Continuous Testing is not a push button process, though. It requires a comprehensive approach. This paper outlines the common challenges to Continuous Testing and highlights results from real users who have used technology to get to succeed with the Continuous Testing process.
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     CA Technologies EMEA
By: CA Technologies EMEA     Published Date: Sep 12, 2018
To compete successfully in today’s economy, companies from all industries require the ability to deliver software faster, with higher quality, and reduced risk and costs. This is only possible with a modern software factory that can deliver quality software continuously. Yet for most enterprises, testing has not kept pace with modern development methodologies. A new approach to software testing is required: Continuous Testing. In the first session in a series, join product management leadership to gain in-depth insights on how by shifting testing left, and automating all aspects of test case generation and execution, continuous testing, it enables you to deliver quality software faster than ever. Recorded Feb 5 2018 49 mins Presented by Steve Feloney, VP Product Management CA Technologies
Tags : continuous delivery, application delivery, testing, test data management
     CA Technologies EMEA
By: CA Technologies EMEA     Published Date: Sep 30, 2018
If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery. In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to: Use AI and ML as the new, necessary approach for testing intelligent applications. Strategically apply AI and ML to your testing practices. Identify the tangible benefits of continuous intelligent testing. Reduce risk while driving test efficiency and improvement. This webinar offers practical steps to applying AI and ML to your app testing. The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
Tags : continuous delivery, application delivery, testing, test data management
     CA Technologies EMEA
By: CA Technologies EMEA     Published Date: Sep 11, 2018
Welcome to the very first edition of Modern Monitoring, a collection of articles and insights designed to help IT operations and DevOps professionals deliver more resilient, supportable and high-performance IT services. It’s perhaps a sign of the times that monitoring as a discipline is receiving much more attention within the biz tech community. And deservedly so. The new distributed application architectures being built, together with the dizzying pace of software delivery, demand new approaches in what’s traditionally been perceived as a “keeping the lights on” IT practice. Of course, there’s no better way to consider monitoring than to draw parallels with other practices in related fields. It’s why we’ve included a couple of pieces with a distinct aeronautical flavor that discuss importance of instrumentation and contextual awareness.
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     CA Technologies EMEA
By: CA Technologies EMEA     Published Date: Sep 11, 2018
This infographic looks at Software Engineers who do awesome ops, ensuring millions of users having super-fast and reliable service from today’s massively complex systems! We look at the key skills and tools required in Modern monitoring and analytics: -Full Stack Visibility -Noise Reduction -Anomaly Detection -Modern Instrumentation -Data- Driven Insights Put your SRE Teams in the Driver's Seat with a new model for application monitoring.
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     CA Technologies EMEA
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