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Virtual data is efficient, automatic, and can be provisioned and refreshed in minutes.\r\nEliminate multiple, redundant copies of data\r\nApplication projects generate concurrent demands for data — up to 90% of which is the same data. The Delphix Virtualization Engine stores a single, compressed copy of production data and creates virtual copies that represent the full production source, but occupy a fraction of the space of physical copies.\r\nCut storage costs and prevent data loss\r\nThe Delphix Virtualization Engine captures all incremental changes at the transaction level, essentially creating a time machine for your data. By intelligently storing only unique changes, Delphix dramatically reduces the intake of data. Administrators can retain a large amount of data in a small amount of space and quickly provision data as of any point in time. Delphix also keeps track of all changes made to virtual copies, giving end users the ability to version their data like code.\r\nEmpower end users with self-service\r\nUnlike legacy solutions, the Delphix Virtualization Engine equips your teams with innovative, self-service control features — like the ability to quickly bookmark, reset, synchronize, and branch virtual datasets — all managed through a single, easy-to-use interface. Delphix also has a fully-exposed web REST API, enabling ready integration with existing DevOps tools and workflows.\r\n","shortDescription":"The Delphix Virtualization Engine is enterprise software that radically improves the delivery of data in databases, application files, and file systems on-premise or in the cloud. By simply and easily delivering the right data to the right team at the right time, Delphix helps companies release applications 25-50% faster.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":15,"sellingCount":10,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Delphix Data Virtualization","keywords":"data, Delphix, copies, Virtualization, virtual, with, changes, Engine","description":"Streamline data delivery\r\nCreating physical copies is highly manual, usually involves multiple administrators, and may take days or weeks. Virtual data is efficient, automatic, and can be provisioned and refreshed in minutes.\r\nEliminate multiple, redundant cop","og:title":"Delphix Data Virtualization","og:description":"Streamline data delivery\r\nCreating physical copies is highly manual, usually involves multiple administrators, and may take days or weeks. Virtual data is efficient, automatic, and can be provisioned and refreshed in minutes.\r\nEliminate multiple, redundant cop"},"eventUrl":"","translationId":398,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":245,"title":"Data Integration and Access Software","alias":"data-integration-and-access-software","description":" Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data) and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. Data integration encourages collaboration between internal as well as external users.\r\nData integration is the process of combining data from different sources into a single, unified view. Integration begins with the ingestion process, and includes steps such as cleansing, ETL mapping, and transformation. Data integration ultimately enables analytics tools to produce effective, actionable business intelligence.\r\nThere is no universal approach to data integration. However, data integration solutions typically involve a few common elements, including a network of data sources, a master server, and clients accessing data from the master server.\r\nIn a typical data integration process, the client sends a request to the master server for data. The master server then intakes the needed data from internal and external sources. The data is extracted from the sources, then consolidated into a single, cohesive data set. This is served back to the client for use.","materialsDescription":" <span style=\"font-weight: bold;\">Integration helps businesses succeed</span>\r\nEven if a company is receiving all the data it needs, that data often resides in a number of separate data sources. For example, for a typical customer 360 view use case, the data that must be combined may include data from their CRM systems, web traffic, marketing operations software, customer — facing applications, sales and customer success systems, and even partner data, just to name a few. Information from all of those different sources often needs to be pulled together for analytical needs or operational actions, and that can be no small task for data engineers or developers to bring them all together.\r\nLet’s take a look at a typical analytical use case. Without unified data, a single report typically involves logging into multiple accounts, on multiple sites, accessing data within native apps, copying over the data, reformatting, and cleansing, all before analysis can happen.\r\nConducting all these operations as efficiently as possible highlights the importance of data integration. It also showcases the major benefits of a well thought-out approach to data integration:\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Improves collaboration and unification of systems</span></span>\r\nEmployees in every department — and sometimes in disparate physical locations — increasingly need access to the company's data for shared and individual projects. IT needs a secure solution for delivering data via self-service access across all lines of business.\r\nAdditionally, employees in almost every department are generating and improving data that the rest of the business needs. Data integration needs to be collaborative and unified in order to improve collaboration and unification across the organization.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Saves time and boosts efficiency</span></span>\r\nWhen a company takes measures to integrate its data properly, it cuts down significantly on the time it takes to prepare and analyze that data. The automation of unified views cuts out the need for manually gathering data, and employees no longer need to build connections from scratch whenever they need to run a report or build an application.\r\nAdditionally, using the right tools, rather than hand-coding the integration, returns even more time (and resources overall) to the dev team.\r\nAll the time saved on these tasks can be put to other, better uses, with more hours earmarked for analysis and execution to make an organization more productive and competitive.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Reduces errors (and rework)</span></span>\r\nThere’s a lot to keep up with when it comes to a company’s data resources. To manually gather data, employees must know every location and account that they might need to explore — and have all necessary software installed before they begin — to ensure their data sets will be complete and accurate. If a data repository is added, and that employee is unaware, they will have an incomplete data set.\r\nAdditionally, without a data integration solution that synchronizes data, reporting must be periodically redone to account for any changes. With automated updates, however, reports can be run easily in real time, whenever they’re needed.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Delivers more valuable data</span></span>\r\nData integration efforts actually improve the value of a business’ data over time. As data is integrated into a centralized system, quality issues are identified and necessary improvements are implemented, which ultimately results in more accurate data — the foundation for quality analysis.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Data_Integration_and_Access_Software.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"countries":[{"id":180,"title":"Russia","name":"RUS"}],"startDate":"0000-00-00","endDate":"0000-00-00","dealDate":"0000-00-00","price":0,"status":"finished","statusLabel":"Finished","isImplementation":true,"isAgreement":false,"confirmed":1,"implementationDetails":{"businessObjectives":{"id":14,"title":"Business objectives","translationKey":"businessObjectives","options":[{"id":10,"title":"Ensure Compliance"},{"id":4,"title":"Reduce Costs"},{"id":6,"title":"Ensure Security and Business Continuity"}]},"businessProcesses":{"id":11,"title":"Business process","translationKey":"businessProcesses","options":[{"id":370,"title":"No automated business processes"}]}},"categories":[{"id":245,"title":"Data Integration and Access Software","alias":"data-integration-and-access-software","description":" Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data) and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. Data integration encourages collaboration between internal as well as external users.\r\nData integration is the process of combining data from different sources into a single, unified view. Integration begins with the ingestion process, and includes steps such as cleansing, ETL mapping, and transformation. Data integration ultimately enables analytics tools to produce effective, actionable business intelligence.\r\nThere is no universal approach to data integration. However, data integration solutions typically involve a few common elements, including a network of data sources, a master server, and clients accessing data from the master server.\r\nIn a typical data integration process, the client sends a request to the master server for data. The master server then intakes the needed data from internal and external sources. The data is extracted from the sources, then consolidated into a single, cohesive data set. This is served back to the client for use.","materialsDescription":" <span style=\"font-weight: bold;\">Integration helps businesses succeed</span>\r\nEven if a company is receiving all the data it needs, that data often resides in a number of separate data sources. For example, for a typical customer 360 view use case, the data that must be combined may include data from their CRM systems, web traffic, marketing operations software, customer — facing applications, sales and customer success systems, and even partner data, just to name a few. Information from all of those different sources often needs to be pulled together for analytical needs or operational actions, and that can be no small task for data engineers or developers to bring them all together.\r\nLet’s take a look at a typical analytical use case. Without unified data, a single report typically involves logging into multiple accounts, on multiple sites, accessing data within native apps, copying over the data, reformatting, and cleansing, all before analysis can happen.\r\nConducting all these operations as efficiently as possible highlights the importance of data integration. It also showcases the major benefits of a well thought-out approach to data integration:\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Improves collaboration and unification of systems</span></span>\r\nEmployees in every department — and sometimes in disparate physical locations — increasingly need access to the company's data for shared and individual projects. IT needs a secure solution for delivering data via self-service access across all lines of business.\r\nAdditionally, employees in almost every department are generating and improving data that the rest of the business needs. Data integration needs to be collaborative and unified in order to improve collaboration and unification across the organization.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Saves time and boosts efficiency</span></span>\r\nWhen a company takes measures to integrate its data properly, it cuts down significantly on the time it takes to prepare and analyze that data. The automation of unified views cuts out the need for manually gathering data, and employees no longer need to build connections from scratch whenever they need to run a report or build an application.\r\nAdditionally, using the right tools, rather than hand-coding the integration, returns even more time (and resources overall) to the dev team.\r\nAll the time saved on these tasks can be put to other, better uses, with more hours earmarked for analysis and execution to make an organization more productive and competitive.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Reduces errors (and rework)</span></span>\r\nThere’s a lot to keep up with when it comes to a company’s data resources. To manually gather data, employees must know every location and account that they might need to explore — and have all necessary software installed before they begin — to ensure their data sets will be complete and accurate. If a data repository is added, and that employee is unaware, they will have an incomplete data set.\r\nAdditionally, without a data integration solution that synchronizes data, reporting must be periodically redone to account for any changes. With automated updates, however, reports can be run easily in real time, whenever they’re needed.\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Delivers more valuable data</span></span>\r\nData integration efforts actually improve the value of a business’ data over time. 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Creating a call center on the basis of our decision, you do not have to spend money on integration and support of products from different suppliers, as Naumen Contact Center has everything you need to work effectively.\r\nThe solution includes a communication platform with the component Omni-Channel, Project Management Information System and forecasting workload (WFM), as well as workstations operator and supervisor.\r\nCommunication platform Naumen Contact Center provides job telephony, as well as the reception and processing of applications through other channels (e-mail, fax, SMS, web chat, instant messengers, social media, mobile applications). The solution uses SIP-protocol, which allows you to connect VoIP-gateways and user terminals from various manufacturers, providing complete freedom of choice of server and telecommunications equipment.\r\nThe server part of NSS is based on free software: Linux operating system, as well as the database can be used Posgtre SQL or Oracle. In the workplace it is permitted to use different operating systems Windows, Linux and MacOS.","shortDescription":"Naumen Contact Center - a single solution for call-center and contact center","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":16,"sellingCount":14,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Naumen Contact Center","keywords":"Naumen, Contact, Center, well, solution, operating, from, different","description":"Naumen Contact Center (previously Naumen Phone) - a full-featured software solution for the construction of large and medium-sized contact centers. Creating a call center on the basis of our decision, you do not have to spend money on integration and support o","og:title":"Naumen Contact Center","og:description":"Naumen Contact Center (previously Naumen Phone) - a full-featured software solution for the construction of large and medium-sized contact centers. Creating a call center on the basis of our decision, you do not have to spend money on integration and support o"},"eventUrl":"","translationId":395,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":152,"title":"Contact Center","alias":"contact-center","description":"A contact center is a central point from where you can contact.\r\nThe contact center typically includes one or more call centers but may include other types of customer contact, as well. A contact center is generally part of an enterprise's overall customer relationship management (CRM) strategy.<br />Contact centers and call centers are both centers for customer service, and the two terms are often used interchangeably, but a contact center supports more services than a typical call center.\r\nContact centers offer omnichannel customer support, including email, chat, voice over IP (VoIP) and website support. A call center typically uses phones as the main channel of communication and can handle a mass volume of calls.<br />Contact centers are used for inbound communication, outbound communication or a hybrid of both. Contact center agents also interact with customers via web chat, phone, email or other communication channels.\r\nThe contact center infrastructure that is necessary to support communications may be located on the same premises as the contact center, or it can be located externally.\r\nIn an on-premises scenario, the company that owns the contact center also owns and manages its own hardware and software. This requires staffing and IT investments that some companies choose to forgo by outsourcing those tasks to cloud providers or hosting companies.","materialsDescription":" <span style=\"font-weight: bold;\">What is a Call Center?</span>\r\nTraditionally, a call center is an office where a large number of call center agents provide customer service over the telephone. Inbound call centers receive calls for customer support and often serve as a knowledge base for tech support, billing questions, and other customer service issues. These call centers focus on quick call resolution times and agent productivity. In outbound call centers, agents make calls rather than receive them. These could be sales calls, marketing offers, surveys, fundraising requests, or debt collection, for example.\r\nThe term “call center” conjures an image for many people of waiting on perpetual hold or being routed through an endless IVR that never gives them what they need. Because so many consumers have had a dreadful customer service experience along these lines, call centers have developed a bad rap. But as legacy phone systems give way to newer digital technologies, call centers are evolving.\r\n<span style=\"font-weight: bold;\">What is a Contact Center?</span>\r\nThe term &quot;contact center&quot; (or “contact centre”) reflects the modern reality that there are many other ways to connect with a customer these days besides by telephone. The combined trends of increased customer expectations and newer technologies that allow for many channels of communication are creating a shift in the traditional call center model which has existed for decades. Consumers want more ways to reach businesses, and businesses are looking for new ways to improve customer experience.\r\nWhile call center agents generally focus on inbound and outbound calls, either on traditional phone lines or over VoIP, contact center agents handle a wide variety of communications. In a modern multichannel contact center, technical support might be delivered over in-app chat or video, while order status updates are delivered via SMS, event promotions are sent as push notifications, surveys are deployed over Facebook Messenger, and sales inquiries received by email are sent directly to an agent to connect by phone. Call centers handle voice communications, contact centers handle all communications.\r\nA company’s contact center is usually integrated with their customer relationship management (CRM) system, where all interactions between the organization and the public are tracked, coordinated, and managed. Depending on the infrastructure and ecosystem, it could be comprised of an alphabet soup of complex components. Many companies have purchased off-the-shelf systems or a highly customized network of technologies from multiple vendors. Some companies have adopted a cloud-based solution or two, but they remain siloed from the rest of their systems and can’t talk to each other.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/Contact_Center1.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"countries":[{"id":180,"title":"Russia","name":"RUS"}],"startDate":"0000-00-00","endDate":"0000-00-00","dealDate":"0000-00-00","price":0,"status":"finished","statusLabel":"Finished","isImplementation":true,"isAgreement":false,"confirmed":1,"implementationDetails":{"businessObjectives":{"id":14,"title":"Business objectives","translationKey":"businessObjectives","options":[{"id":7,"title":"Improve Customer Service"},{"id":5,"title":"Enhance Staff Productivity"},{"id":4,"title":"Reduce Costs"},{"id":6,"title":"Ensure Security and Business Continuity"},{"id":262,"title":"Support Customers"}]},"businessProcesses":{"id":11,"title":"Business process","translationKey":"businessProcesses","options":[{"id":356,"title":"High costs of routine operations"}]}},"categories":[{"id":152,"title":"Contact Center","alias":"contact-center","description":"A contact center is a central point from where you can contact.\r\nThe contact center typically includes one or more call centers but may include other types of customer contact, as well. A contact center is generally part of an enterprise's overall customer relationship management (CRM) strategy.<br />Contact centers and call centers are both centers for customer service, and the two terms are often used interchangeably, but a contact center supports more services than a typical call center.\r\nContact centers offer omnichannel customer support, including email, chat, voice over IP (VoIP) and website support. A call center typically uses phones as the main channel of communication and can handle a mass volume of calls.<br />Contact centers are used for inbound communication, outbound communication or a hybrid of both. Contact center agents also interact with customers via web chat, phone, email or other communication channels.\r\nThe contact center infrastructure that is necessary to support communications may be located on the same premises as the contact center, or it can be located externally.\r\nIn an on-premises scenario, the company that owns the contact center also owns and manages its own hardware and software. This requires staffing and IT investments that some companies choose to forgo by outsourcing those tasks to cloud providers or hosting companies.","materialsDescription":" <span style=\"font-weight: bold;\">What is a Call Center?</span>\r\nTraditionally, a call center is an office where a large number of call center agents provide customer service over the telephone. Inbound call centers receive calls for customer support and often serve as a knowledge base for tech support, billing questions, and other customer service issues. These call centers focus on quick call resolution times and agent productivity. In outbound call centers, agents make calls rather than receive them. These could be sales calls, marketing offers, surveys, fundraising requests, or debt collection, for example.\r\nThe term “call center” conjures an image for many people of waiting on perpetual hold or being routed through an endless IVR that never gives them what they need. Because so many consumers have had a dreadful customer service experience along these lines, call centers have developed a bad rap. But as legacy phone systems give way to newer digital technologies, call centers are evolving.\r\n<span style=\"font-weight: bold;\">What is a Contact Center?</span>\r\nThe term &quot;contact center&quot; (or “contact centre”) reflects the modern reality that there are many other ways to connect with a customer these days besides by telephone. The combined trends of increased customer expectations and newer technologies that allow for many channels of communication are creating a shift in the traditional call center model which has existed for decades. Consumers want more ways to reach businesses, and businesses are looking for new ways to improve customer experience.\r\nWhile call center agents generally focus on inbound and outbound calls, either on traditional phone lines or over VoIP, contact center agents handle a wide variety of communications. In a modern multichannel contact center, technical support might be delivered over in-app chat or video, while order status updates are delivered via SMS, event promotions are sent as push notifications, surveys are deployed over Facebook Messenger, and sales inquiries received by email are sent directly to an agent to connect by phone. Call centers handle voice communications, contact centers handle all communications.\r\nA company’s contact center is usually integrated with their customer relationship management (CRM) system, where all interactions between the organization and the public are tracked, coordinated, and managed. Depending on the infrastructure and ecosystem, it could be comprised of an alphabet soup of complex components. Many companies have purchased off-the-shelf systems or a highly customized network of technologies from multiple vendors. 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Whether through the flagship Mail Secure solution or&nbsp;<span style=\"color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: 12.8px; \">Cybonet</span>'s next generation of Cyber Protection solutions -&nbsp;<span style=\"color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: 12.8px; \">Cybonet</span>&nbsp;is dedicated to security. 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An application delivery controller is a network device that helps sites direct user traffic to remove excess load from two or more servers. In addition to providing Layer 4 load balancing, ADCs can manage Layer 7 for content switching, and also provide SSL offload and acceleration. They tend to offer more advanced features such as content redirection as well as server health monitoring. An Application delivery controller may also be known as a Web switch, URL switch, Web content switch, content switch and Layer 7 switch.\r\nToday, advanced application delivery controllers and intelligent load balancers are not only affordable, but the consolidation of Layer 4-7 load balancing and content switching, and server offload capabilities such as SSL, data caching and compression provides companies with cost-effective out-of-the-box infrastructure.\r\nFor enterprise organizations (companies with 1,000 or more employees), integrating best-of-breed network infrastructure is commonplace. However best-of-breed does not equate with deploying networks with enterprise-specific features and expensive products, but rather, deploying products that are purpose-built, with the explicit features, performance, reliability and scalability created specifically for the companies of all sizes.\r\nIn general, businesses of all sizes are inclined to purchase “big brand” products. However, smaller vendors that offer products within the same category can provide the optimal performance, features and reliability required, with the same benefits - at a lower cost.\r\nFor the enterprise market, best-of-breed comes with a high Total Cost of Ownership (TCO), since deploying products from various manufacturers requires additional training, maintenance and support. Kemp can help SMBs lower their TCO, and help them build reliable, high performance and scalable web and application infrastructure. Kemp products have a high price/performance value for SMBs. Our products are purpose-built for SMB businesses for dramatically less than the price of “big name” ADC and SLB vendors who are developing features that enterprise customers might use.","materialsDescription":" <span style=\"font-weight: bold;\">What are application delivery controllers?</span>\r\nApplication Delivery Controllers (ADCs) are the next stage in the development of server load balancing solutions. ADCs allow you to perform not only the tasks of balancing user requests between servers, but also incorporate mechanisms that increase the performance, security and resiliency of applications, as well as ensure their scalability.\r\n<span style=\"font-weight: bold;\">And what other possibilities do application controllers have?</span>\r\nIn addition to the function of uniform distribution of user requests, application delivery controllers have many other interesting features. They can provide around-the-clock availability of services, improve web application performance up to five times, reduce risks when launching new services, protect confidential data, and publish internal applications to the outside with secure external access (a potential replacement for outgoing Microsoft TMG).\r\nOne of the most important functions of application delivery controllers, which distinguish them from simple load balancers, is the presence of a functional capable of processing information issued to the user based on certain rules.\r\n<span style=\"font-weight: bold;\">What are the prerequisites for implementing application delivery controllers in a particular organization?</span>\r\nA number of factors can determine the criteria for deciding whether to implement application controllers in your organization. First, this is the poor performance of web services, which is a long download of content, frequent hangs and crashes. Secondly, such a prerequisite can be interruptions in the work of services and communication channels, expressed in failures in the transmitting and receiving equipment that ensures the operation of the data transmission network, as well as failures in the operation of servers.\r\nIn addition, it is worth thinking about implementing application delivery controllers if you use Microsoft TMG or Cisco ACE products, since they are no longer supported by the manufacturer. A prerequisite for the implementation of ADC may be the launch of new large web projects, since this process will inevitably entail the need to ensure the operability of this web project with the maintenance of high fault tolerance and performance.\r\nAlso, controllers are needed when you need to provide fault tolerance, continuous availability and high speed of applications that are consolidated in the data center. A similar situation arises when it is necessary to build a backup data center: here you also need to ensure fault tolerance between several data centers located in different cities.\r\n<span style=\"font-weight: bold;\">What are the prospects for the introduction of application controllers in Russia and in the world?</span>\r\nGartner's research shows that there have recently been marked changes in the market for products that offer load balancing mechanisms. In this segment, user demand shifts from servers implementing a simple load balancing mechanism to devices offering richer functionality.\r\nGartner: “The era of load balancing has long gone, and companies need to focus on products that offer richer application delivery functionality.”\r\nIn Russia, due to the specifics of the internal IT market, application controllers are implemented mainly because of the presence of some specific functionality, and not because of the comprehensive solution for delivering applications in general, which this product offers. 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Our products are purpose-built for SMB businesses for dramatically less than the price of “big name” ADC and SLB vendors who are developing features that enterprise customers might use.","materialsDescription":" <span style=\"font-weight: bold;\">What are application delivery controllers?</span>\r\nApplication Delivery Controllers (ADCs) are the next stage in the development of server load balancing solutions. ADCs allow you to perform not only the tasks of balancing user requests between servers, but also incorporate mechanisms that increase the performance, security and resiliency of applications, as well as ensure their scalability.\r\n<span style=\"font-weight: bold;\">And what other possibilities do application controllers have?</span>\r\nIn addition to the function of uniform distribution of user requests, application delivery controllers have many other interesting features. 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Secondly, such a prerequisite can be interruptions in the work of services and communication channels, expressed in failures in the transmitting and receiving equipment that ensures the operation of the data transmission network, as well as failures in the operation of servers.\r\nIn addition, it is worth thinking about implementing application delivery controllers if you use Microsoft TMG or Cisco ACE products, since they are no longer supported by the manufacturer. A prerequisite for the implementation of ADC may be the launch of new large web projects, since this process will inevitably entail the need to ensure the operability of this web project with the maintenance of high fault tolerance and performance.\r\nAlso, controllers are needed when you need to provide fault tolerance, continuous availability and high speed of applications that are consolidated in the data center. 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