elastic applications

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Published By: Dell EMC & Intel     Published Date: Mar 16, 2018
A fundamental people-process-technology transformation enables businesses to remain competitive in today’s innovation economy. Initiatives such as advanced security, fraud detection services, connected consumer Internet of Things (IoT) devices, augmented or virtual reality experience, machine and deep learning, and cognitively enabled applications drive superior business outcomes such as predictive marketing and maintenance. Superior business outcomes require businesses to consider IT a core competency. For IT, an agile, elastic, and scalable IT infrastructure forms the crucial underpinning for a superior service delivery model. The more up to date the infrastructure, the more capable it is of supporting the scale and complexity of a changing application landscape. Current-generation applications must be supplemented and eventually supplanted with next-generation (also known as cloud-native) applications — each with very different infrastructure requirements. Keeping infrastructure up
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Dell EMC & Intel
Published By: 3D Systems     Published Date: Feb 28, 2019
Ideal for engineers for prototyping and verifying designs across a range of industrial and consumer goods applications, the FabPro Elastic BLK material offers excellent compressive characteristics and shape recovery with a realistic opaque black rubber look and feel. Quick printing and quick curing, FabPro Elastic BLK material saves times and money versus outsourcing to a third party for manufacturing. Suggested applications include: • Overmolds, seals, grommets, grips and vibration dampening components • Functional parts including dust covers, push buttons and cable stress reliefs FabPro Elastic BLK material expands the range of functional materials for 3D Systems' most affordable industrial 3D printer, the FabPro 1000. Rugged and durable, the FabPro 1000 is designed for engineers and designers who want to save time and money by managing their design and prototyping processes in-house.
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3D Systems
Published By: Red Hat, Inc.     Published Date: Jul 10, 2012
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many of them are turning to in-memory data grids (IMDGs).
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it departments, data growth, managing data growth, application scale, application performance, in-memory data grids, imdgs, big data
    
Red Hat, Inc.
Published By: F5 Networks Inc     Published Date: Aug 13, 2013
Emerging data center models are based on flexibility and non-disruptive, on-demand scalability. Infrastructure must not only support these capabilities, but be able itself to provide these same benefits and capabilities. F5 ScaleN is a breakthrough in high availability and scalability, offering the robust capabilities required to enable multi-tenant solutions, elastic applications, and infrastructure for any environment.
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elastic infrastructure, data center models, flexibility, on-demand scalability, elastic applications, multi-tenant solutions
    
F5 Networks Inc
Published By: Oracle     Published Date: Apr 03, 2012
Oracle Exalogic Elastic Cloud, the world's first and only integrated middleware machine, dramatically surpasses alternatives and provides enterprises the best possible foundation for running applications.
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oracle exalogic elastic cloud, oracle, elastic capacity, infrastructure
    
Oracle
Published By: AWS - ROI DNA     Published Date: Nov 19, 2018
"Visibility and control of endpoint devices are critical to securely manage your workloads in the Amazon Web Services (AWS) environment. Ideally, teams want to gain real-time visibility and control without having to deploy an additional agent onto the Amazon Elastic Compute Cloud (Amazon EC2) instance. They want a tool that allows them to span physical, virtual and cloud environments of their existing on-premises endpoints and Amazon EC2 instances. CrowdStrike® Falcon Discover™ platform allows you to identify unauthorized systems and applications in real time and quickly remediate issues, ensuring the integrity of your data. Download this datasheet to learn the key benefits of cloud-native CrowdStrike Falcon Discover, including: • Visibility and control over their endpoints whether they are running on-premises or as Amazon EC2 instances • The ability to scale easily to match the dynamic nature of Amazon EC2 instances "
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AWS - ROI DNA
Published By: Amazon Web Services     Published Date: Apr 11, 2018
Elastic Load Balancing distributes incoming application traffic across multiple EC2 instances, in multiple geographic areas. This increases the fault tolerance of your applications. Load Balancing
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Amazon Web Services
Published By: Vertica     Published Date: Dec 01, 2008
Cloud computing is ushering in a new era of analytic data management for business intelligence (BI) by enabling organizations to analyze terabytes of data faster and more economically than ever before. The key change: cloud database software is provisioned within minutes, without data center overhead, and it's licensed on an on-demand basis.
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vertica, ec2, elastic, cloud computing, ad-hoc, business intelligence, cloud, cloudbased applications
    
Vertica
Published By: Vertica     Published Date: Feb 01, 2010
How the Vertica Analytic Database is powering the new wave of commercial software, SaaS and appliance-based applications and creating new value and competitive differentiation for solution developers and their customers.
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vertica, ec2, cdr, elastic, saas, cloud computing, data management, ad-hoc
    
Vertica
Published By: Vertica     Published Date: Aug 16, 2010
The Vertica Analytic Database is the only database built from scratch to handle today's heavy business intelligence workloads. In customer benchmarks, Vertica has been shown to manage terabytes of data running on extraordinarily low-cost hardware and answers queries 50 to 200 times faster than competing row-oriented databases and specialized analytic hardware. This document summarizes the key aspects of Vertica's technology that enable such dramatic performance benefits, and compares the design of Vertica to other popular relational systems.
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vertica, ec2, elastic, cloud computing, workflow, benchmark, projections, ad-hoc
    
Vertica
Published By: Vertica     Published Date: Feb 20, 2010
For over a decade, IT organizations have been plagued by high data warehousing costs, with millions of dollars spent annually on specialized, high-end hardware and DBA personnel overhead for performance tuning. The root cause: using data warehouse database management (DBMS) software, like Oracle and SQLServer that were designed 20-30 years ago to handle write-intensive OLTP workloads, not query-intensive analytic workloads.
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vertica, ec2, cdr, elastic, saas, cloud computing, data management, ad-hoc
    
Vertica
Published By: Vertica     Published Date: Mar 15, 2010
Revenue assurance analysts at a top-tier US-based carrier studied this every day. Primarily focused on detecting fraud, revenue sharing contract violations and incomplete revenue collections, they had the need to query and analyze call detail record (CDR) databases that grow by millions of new CDRs every day.
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vertica, ec2, cdr, elastic, saas, dbms, sql, acid transactions
    
Vertica
Published By: Vertica     Published Date: Mar 15, 2010
In a world of growing data volumes and shrinking IT budgets, it is critical to think differently about the efficiency of your database and storage infrastructure. The Vertica Analytic Database is a high-performance, scalable and cost-effective solution that can bring dramatic savings in hardware, storage and operational costs.
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vertica, ec2, cdr, elastic, saas, cdr, cloud computing, data management
    
Vertica
Published By: AWS     Published Date: Oct 03, 2019
Christian Elsenhuber - AWS & Carsten Duch - SUSE Join our webinar and learn more about the SUSE Cloud Application Platform on Amazon Elastic Kubernetes Service (Amazon EKS). The webinar will show you how SUSE accelerates the use of applications in containers. With integrated automation and customization features, SUSE helps your DevOps teams deliver container applications, accelerate innovation, and improve the responsiveness of your IT.
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AWS
Published By: AWS     Published Date: Oct 14, 2019
Containers have become the new infrastructure standard for development teams. While the “DIY container approach” (un-orchestrated containers) still has its use cases (e.g. low latency, longer compute jobs, predictable traffic), production-grade deployments require orchestration. DevOps teams are increasingly leveraging the benefits of Kubernetes and accelerating its adoption, taking it from a 27% adoption rate in 2018 to a 48% adoption rate in 2019 according to the RightScale “2019 State of the Cloud Report,” from Flexera. The same report also positions Amazon Elastic Kubernetes Service (Amazon EKS) as one of the fastest-growing managed Kubernetes offerings available, with a 44% adoption rate. Previously, containers were a technology deployed by individual teams – and were typically used for “application testing” in the enterprise world. Today, many organizations are now not only seeing the benefits of operationalizing containers to deploy production applications, but also re-positioni
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AWS
Published By: Citrix Systems     Published Date: Sep 08, 2011
Get flexible app delivery capacity in your datacenter that easily scales as demand grows. Free "Pay-As-You-Grow" guide from Citrix shows you how.
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citrix, pay-as-you-grow, network elasticity, netscaler, new applications, delivery capacity, licensing, elasticity
    
Citrix Systems
Published By: NetApp     Published Date: Nov 14, 2017
Improved data sharing, mobility, and elasticity are the fundamental benefits for hybrid cloud storage environments. Read this report and discover the next-generation hybrid cloud storage technologies that are already available and ready to bridge the gap between your on-premises applications and data and leading cloud storage services, such as AWS, Google Cloud Storage, and Microsoft Azure.
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NetApp
Published By: Dell EMC     Published Date: Feb 23, 2017
Enterprises of all sizes are undergoing massive data center modernization initiatives. They are looking to use technology to cut costs and drive competitive advantage. At the core of many of these transformations is an effort to reengineer IT delivery models to enable cloudlike flexibility of resources, and reduce both capital expenditures and operational overhead. That is giving rise to the private cloud movement. Indeed, private cloud adoption is accelerating and maturing. IT organizations are looking to the private cloud for the elasticity it can provide to add or remove resources as required. In fact, ESG research reveals that more than three-quarters of organizations would classify their private cloud deployment as either an advanced internal cloud or a basic internal cloud. Those organizations that have virtualized at least half of their production applications are more than twice as likely as their more physical infrastructure-dependent counterparts to categorize their environme
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Dell EMC
Published By: Avi Networks     Published Date: May 14, 2018
Microsoft Azure is the cloud platform of choice for many enterprises to run their applications. Migrating applications to Azure requires specific strategies for application networking services such as load balancing, visibility, and performance monitoring. We have developed a step-by-step guide to setting up scalable application networking services in Microsoft Azure based on the application migration experiences of Fortune 500 enterprises. In this webinar, you'll learn: Best practices for load balancing in Microsoft Azure Analyzing application performance How to elastically scale applications on demand Ways to optimize deployments across hybrid clouds
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Avi Networks
Published By: Avi Networks     Published Date: May 14, 2018
Microsoft Azure is the cloud platform of choice for many enterprises to run their applications. Migrating applications to Azure requires specific strategies for application networking services such as load balancing, visibility, and performance monitoring. We have developed a step-by-step guide to setting up scalable application networking services in Microsoft Azure based on the application migration experiences of Fortune 500 enterprises. In this webinar, you'll learn: Best practices for load balancing in Microsoft Azure Analyzing application performance How to elastically scale applications on demand Ways to optimize deployments across hybrid clouds
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Avi Networks
Published By: AWS     Published Date: Oct 01, 2019
Containers have become the new infrastructure standard for development teams. While the “DIY container approach” (un-orchestrated containers) still has its use cases (e.g. low latency, longer compute jobs, predictable traffic), production-grade deployments require orchestration. DevOps teams are increasingly leveraging the benefits of Kubernetes and accelerating its adoption, taking it from a 27% adoption rate in 2018 to a 48% adoption rate in 2019 according to the RightScale “2019 State of the Cloud Report,” from Flexera. The same report also positions Amazon Elastic Kubernetes Service (Amazon EKS) as one of the fastest-growing managed Kubernetes offerings available, with a 44% adoption rate. Previously, containers were a technology deployed by individual teams – and were typically used for “application testing” in the enterprise world. Today, many organizations are now not only seeing the benefits of operationalizing containers to deploy production applications, but also re-positioni
Tags : 
    
AWS
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