scalability

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Published By: AMD     Published Date: Jul 23, 2012
For most organizations, consolidation is the starting point and primary initial driver for their virtualization efforts. By enabling the sharing and pooling of resources, virtualization has become a proven, adept and widely adopted technology in allowing organizations of all sizes to achieve some of their most important technology consolidation initiatives.
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virtualization, it resources, amd, microsoft, it infrastructure, cost-efficient, software platforms, green computing, tco, scalability, efficiency, performance
    
AMD
Published By: AMD     Published Date: Jul 23, 2012
Virtualization deployment will continue to grow dramatically, fueled by a variety of factors, including continued use of virtualization to support consolidation efforts; growth of virtualization use in mission-critical applications and workloads; growth in virtualization among small and midsize organizations; successful deployment of virtualization as a strategic initiative to enhance business agility; and virtualization as the foundation for next-generation cloud computing services.
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virtualization, microsoft hyper-v, incremental consolidation, it agility, business agility, business continuity, return on investment, roi, scalability, legacy applications
    
AMD
Published By: AppDynamics     Published Date: Sep 20, 2017
Performance testing has always been about ensuring the scalability of a software application. Until the arrival of the first performance test automation solutions in the late 90’s, performance testing was a manual process that was difficult, if not impossible, to test in a consistent and reliable fashion. The arrival of these new tool sets suddenly allowed software testers to turn discrete user actions into scripts that could be combined and replayed as test scenarios. Solving the consistency and reliability challenge, software testers could now repeat the same test on demand while reinforcing and imposing some new requirements.
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cloud, apm, performance testing, support, integration, aws
    
AppDynamics
Published By: AppDynamics     Published Date: Sep 20, 2017
A microservice architecture provides benefits in the areas of service isolation and deployment as well as independent scalability. These benefits lead to more rapid release cycles and better use of available resources. But a microservice architecture also presents a host of new challenges in both deployment as well as performance management. The benefits to microservices far outweigh their challenges and, by identifying them early, you can plan for and ensure that your adoption of a microservices architecture goes smoothly.
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microservice, management, business transactions, hybrid cloud, docker, environment
    
AppDynamics
Published By: Appistry     Published Date: Oct 11, 2007
This white paper describes how software-based, real-time grid environments -- i.e. application fabrics -- are successfully meeting the requirements of today's most demanding applications, delivering scalability, manageability and affordability.
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application, application performance, application performance management, application fabric, application fabrics, grid computing, appistry
    
Appistry
Published By: Applause Israel     Published Date: Sep 25, 2018
The goal of usability testing, simply put, is to make sure that a user can complete the tasks they are expected to complete. Usability testing doesn’t test whether or not the functions of the application, website or connected device work correctly, but rather that a user intuitively understands how to perform these tasks — and how easy or difficult it was to do so. With usability testing, “close enough” won’t cut it. A product may have a superior architecture, a great set of features, good performance, scalability and a number of other positive attributes. However, all of this effort is wasted if the user experience is inadequate. An application, website or connected device that is not user-friendly is just as bad as a buggy version and can lead to diminished revenue, product abandonment or a total failure. An application with poor usability can also negatively affect a brand
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Applause Israel
Published By: ArcSight     Published Date: Mar 03, 2009
This document provides an overview of the drivers for Log Management scalability and outlines the key requirements to consider as part of the evaluation process.
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log management, security, fraud, insider threat, suspicious network activity, pci dss, hipaa, sox, application security, arcsight, mission critical assets
    
ArcSight
Published By: AstuteIT_ABM_EMEA     Published Date: Feb 02, 2018
MongoDB is an open-source, document database designed with both scalability and developer agility in mind. MongoDB bridges the gap between key-value stores, which are fast and scalable, and relational databases, which have rich functionality. Instead of storing data in rows and columns as one would with a relational database, MongoDB stores JSON documents with dynamic schemas. Customers should consider three primary factors when evaluating databases: technological fit, cost, and topline implications. MongoDB's flexible and scalable data model, robust feature set, and high-performance, high-availability architecture make it suitable for a wide range of database use cases. Given that in many cases relational databases may also be a technological fit, it is helpful to consider the relative costs of each solution when evaluating which database to adopt.
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total, cost, ownership, comparison, mongodb, oracle
    
AstuteIT_ABM_EMEA
Published By: AstuteIT_ABM_EMEA     Published Date: Feb 02, 2018
The relational database has been the foundation of enterprise data management for over thirty years. But the way we build and run applications today, coupled with unrelenting growth in new data sources and growing user loads are pushing relational databases beyond their limits. This can inhibit business agility, limit scalability and strain budgets, compelling more and more organizations to migrate to alternatives like MongoDB or NoSQL databases.
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rdbms, mongodb, migration, data, enterprise, management
    
AstuteIT_ABM_EMEA
Published By: Attunity     Published Date: Feb 12, 2019
Read this checklist report, with results based on the Eckerson Group’s survey and the Business Application Research Center (BARC), on how companies using the cloud for data warehousing and BI has increased by nearly 50%. BI teams must address multiple issues including data delivery, security, portability and more before moving to the cloud for its infinite scalability and elasticity. Read this report to understand all 7 seven considerations – what, how and why they impact the decision to move to the cloud.
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cloud, business intelligence, analytics, cloud data, data lake, data warehouse automation tools, dwa, data warehouse, security and compliance, data movement, hybrid cloud, hybrid cloud environment, cross-platform automation, portability
    
Attunity
Published By: Auth0     Published Date: May 12, 2016
An online game such as Marks and Spencer’s holiday Pass The Parcel campaign is in many ways, the worst case authentication scalability demand. The viral nature of the game generates massive numbers of registration and login events through both social providers and through username/password as eager players open presents and engage their friends to play. The game builds a huge audience of active players that remain active for the entire promotion while recruiting even more players, each of whom must register and then login to play, often multiple times per day.
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auth0, authentication, scalability, marks and spencers, authentication demand
    
Auth0
Published By: Avi Networks     Published Date: Mar 07, 2018
A new ZK Research study reveals significant shifts in application delivery practices as enterprises are automating or adopting cloud-native applications. In the process of modernizing their infrastructure, enterprises are addressing on-demand scalability requirements, improving management, and lowering costs. This study discusses: - Enterprise preferences for their next load balancers - Capabilities that are most sought after by network teams - How businesses are preparing for hybrid and multi-cloud environments Download Legacy Hardware-Based ADCs: Are Companies Holding Back?
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Avi Networks
Published By: Avocent     Published Date: Mar 06, 2011
Download this Free Paper to learn how the Avocent ACS advanced console server offers the most feature-rich set of capabilities in modern console servers. The ACS console server provides the scalability, reliability and security a company requires to control and manage servers and other networked devices.
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manage servers, avocent, emerson, pbx, device management, it infrastructure management, remote management
    
Avocent
Published By: AWS     Published Date: Apr 27, 2018
Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now. Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data can now be processed in memory, and more significantly, analyzed as it arrives, in real time. Millions to hundreds of millions of events (such as video streams or application alerts) can be collected and analyzed per hour to deliver insights that can be acted upon in an instant. From financial services to manufacturing, this rev
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AWS
Published By: AWS     Published Date: May 18, 2018
We’ve become a world of instant information. We carry mobile devices that answer questions in seconds and we track our morning runs from screens on our wrists. News spreads immediately across our social feeds, and traffic alerts direct us away from road closures. As consumers, we have come to expect answers now, in real time. Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now. Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data
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AWS
Published By: AWS     Published Date: Aug 15, 2018
Earning and keeping your customer’s trust is one key to long-term success. In today’s digital world, your customers expect product and service innovations at an increasingly rapid pace. At the same time, customer privacy and data security are under close scrutiny. These trends help to explain why organizations are migrating to Amazon Web Services (AWS): to benefit from the agility, scalability, and security that it offers. AWS has always put cloud security first. This security-centric approach not only helps you more effectively protect your data on AWS, but can also help you meet security and compliance standards.
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AWS
Published By: AWS     Published Date: Sep 04, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technology
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AWS
Published By: AWS     Published Date: Sep 05, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
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AWS
Published By: AWS     Published Date: Oct 30, 2018
How Snapper Further Protects Data in Amazon S3 Using CWP for Storage Abstract: Snapper, a New Zealand-based company that develops custom account-based solutions, was creating an online concessions payment program for local students and needed a way to enhance the security of their personal information on Amazon Web Services (AWS). The solution had to further protect online student profiles and associated payment details stored in Amazon Simple Storage Service (Amazon S3) against malware and threats. Snapper chose Symantec Cloud Workload Protection for Storage (CWP for Storage) for its advanced malware protection, elastic scalability, and simple deployment requiring only a few hours.
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snapper, data, amazon, cwp, storage
    
AWS
Published By: AWS     Published Date: Oct 30, 2018
Snapper, a New Zealand-based company that develops custom account-based solutions, was creating an online concessions payment program for local students and needed a way to enhance the security of their personal information on Amazon Web Services (AWS). The solution had to further protect online student profiles and associated payment details stored in Amazon Simple Storage Service (Amazon S3) against malware and threats. Snapper chose Symantec Cloud Workload Protection for Storage (CWP for Storage) for its advanced malware protection, elastic scalability, and simple deployment requiring only a few hours.
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data, amazon, cwp, storage
    
AWS
Published By: AWS     Published Date: Nov 14, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources. This e-book aims to provide you with expert tips on how to use Amazon Redshift Spectrum to increase performance and potentially reduce the cost of your queries.
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AWS
Published By: AWS     Published Date: Nov 16, 2018
"For existing applications to gain the agility, scalability, resilience, and cost benefits of cloud computing, organizations need to adopt cloud-native architectures. By making this switch, you’ll be better suited to scale more quickly, so you can help meet your ever-changing user demands. The challenge is how to make this transition to a cloud-native architecture, quickly and easily. Download this complimentary white paper to learn how your organization can help simplify the transition to cloud computing by leveraging Amazon Elastic Container Service and TIBCO®. You’ll learn: • Best practices for agile development • New platforms for deployment • The right tools for digital business agility "
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AWS
Published By: AWS     Published Date: Dec 19, 2018
Migrations to the cloud sometimes face difficulties in transitioning apps, operational inconsistencies, and incongruent networks. VMware Cloud on AWS is an on-demand hybrid cloud service designed to preserve existing investments and legacy applications, while reaping the rewards of cloud scalability and flexibility. But what are the right use cases for VMware Cloud on AWS, and how do you best approach this new solution? Download our webinar to find answers to both questions, and to see specific use cases like migration, disaster recovery, and M&A integration. Download our webinar to learn How to prepare and validate your environment for integration The right circumstances for and expected benefits of deploying VMware Cloud on AWS The value of deploying a right-sized VMware Cloud on AWS environment based on your application needs
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AWS
Published By: AWS     Published Date: Jul 24, 2019
Migrations to the cloud sometimes face difficulties in transitioning apps, operational inconsistencies, and incongruent networks. VMware Cloud on AWS is an on-demand hybrid cloud service designed to preserve existing investments and legacy applications, while reaping the rewards of cloud scalability and flexibility.
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AWS
Published By: AWS     Published Date: Aug 06, 2019
Old-guard database providers are expensive, proprietary, have high lock-in costs, and impose restrictive licensing terms. The challenge to date has been to achieve the same performance and availability of commercial-grade databases on open source databases such as MySQL, PostgreSQL, and MariaDB. Examine key considerations that go into any database migration decision and specific use cases—in Financial Services and Healthcare Analytics implementations—where Datavail carefully managed database migrations from traditional database providers to the cloud—and in particular Amazon Aurora. Download the eBook to learn about: Migration considerations and strategies including lift and shift, re-platforming, and re-factoring Security and compliance functionality enabled by Amazon Aurora Performance and scalability opportunities enabled by AWS
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AWS
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