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It also develops products to support network and application performance management.\r\n\r\nRiverbed has its headquarters in San Francisco, CA, and more than 2,500 employees in 73 offices around the world. The company’s 25,000+ customers include 97% of both the Fortune 100 and the Forbes Global 100. In December 2014, the company agreed to be acquired by private equity investment firm Thoma Bravo, and the transaction was completed in April 2015.\r\n\r\nSource: https://en.wikipedia.org/wiki/Riverbed_Technology","companyTypes":[],"products":{},"vendoredProductsCount":2,"suppliedProductsCount":2,"supplierImplementations":[],"vendorImplementations":[],"userImplementations":[],"userImplementationsCount":0,"supplierImplementationsCount":1,"vendorImplementationsCount":1,"vendorPartnersCount":0,"supplierPartnersCount":0,"b4r":0,"categories":{},"companyUrl":"http://www.riverbed.com/","countryCodes":[],"certifications":[],"isSeller":false,"isSupplier":false,"isVendor":false,"presenterCodeLng":"","seo":{"title":"Riverbed","keywords":"Riverbed, products, application, WANs, across, performance, company, develops","description":"Riverbed Technology, Inc. is an American IT company that develops products to improve application performance across WANs, a technique known as WAN Optimization. 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Reducing traffic 60% -95%, depending on the structure and type of traffic.\r\n• Release and prioritize bandwidth for more critical traffic types;\r\n• Reduced operating costs by paying traffic and (or) lease of communication channels;\r\n• No need to expand communication channels up to 3 years.\r\n\r\n2. Accelerating Enterprise Applications\r\n• CIFS (windows file sharing) - up to 25 times or more;\r\n• MAPI (MS Exchange) - up to 20 times or more;\r\n• HTTP / HTTPS (intranet, portals) - up to 10 times or more","shortDescription":"SteelHead offers industry leading secure optimization of all applications, across hybrid networks to users everywhere so you can leverage global resources and access applications and data from anywhere - all while reducing the cost of running your business.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":18,"sellingCount":3,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Riverbed SteelHead","keywords":"traffic, more, times, SteelHead, applications, communication, channels, Riverbed","description":"SteelHead offers industry leading secure optimization of all applications, across hybrid networks to users everywhere so you can leverage global resources and access applications and data from anywhere - all while reducing the cost of running your business.\r\nF","og:title":"Riverbed SteelHead","og:description":"SteelHead offers industry leading secure optimization of all applications, across hybrid networks to users everywhere so you can leverage global resources and access applications and data from anywhere - all while reducing the cost of running your business.\r\nF"},"eventUrl":"","translationId":221,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":536,"title":"WAN optimization - appliance","alias":"wan-optimization-appliance","description":" WAN optimization appliance is a collection of techniques for increasing data-transfer efficiencies across wide-area networks (WANs). In 2008, the WAN optimization market was estimated to be $1 billion and was to grow to $4.4 billion by 2014 according to Gartner, a technology research firm. In 2015 Gartner estimated the WAN optimization market to be a $1.1 billion market.\r\nThe most common measures of TCP data-transfer efficiencies (i.e., optimization) are throughput, bandwidth requirements, latency, protocol optimization, and congestion, as manifested in dropped packets. In addition, the WAN itself can be classified with regards to the distance between endpoints and the amounts of data transferred. Two common business WAN topologies are Branch to Headquarters and Data Center to Data Center (DC2DC). In general, &quot;Branch&quot; WAN links are closer, use less bandwidth, support more simultaneous connections, support smaller connections and more short-lived connections, and handle a greater variety of protocols. They are used for business applications such as email, content management systems, database application, and Web delivery. In comparison, &quot;DC2DC&quot; WAN links tend to require more bandwidth, are more distant and involve fewer connections, but those connections are bigger (100 Mbit/s to 1 Gbit/s flows) and of longer duration. Traffic on a &quot;DC2DC&quot; WAN may include replication, back up, data migration, virtualization, and other Business Continuity/Disaster Recovery (BC/DR) flow.\r\nWAN optimization has been the subject of extensive academic research almost since the advent of the WAN. In the early 2000s, research in both the private and public sectors turned to improve the end-to-end throughput of TCP, and the target of the first proprietary WAN optimization solutions was the Branch WAN. In recent years, however, the rapid growth of digital data, and the concomitant needs to store and protect it, has presented a need for DC2DC WAN optimization. For example, such optimizations can be performed to increase overall network capacity utilization, meet inter-datacenter transfer deadlines, or minimize average completion times of data transfers. As another example, private inter-datacenter WANs can benefit optimizations for fast and efficient geo-replication of data and content, such as newly computed machine learning models or multimedia content.\r\nComponent techniques of Branch WAN Optimization include deduplication, wide-area file services (WAFS), SMB proxy, HTTPS Proxy, media multicasting, web caching, and bandwidth management. Requirements for DC2DC WAN Optimization also center around deduplication and TCP acceleration, however, these must occur in the context of multi-gigabit data transfer rates. ","materialsDescription":" <span style=\"font-weight: bold;\">What techniques does WAN optimization have?</span>\r\n<ul><li><span style=\"font-weight: bold;\">Deduplication</span> – Eliminates the transfer of redundant data across the WAN by sending references instead of the actual data. By working at the byte level, benefits are achieved across IP applications.</li><li><span style=\"font-weight: bold;\">Compression</span> – Relies on data patterns that can be represented more efficiently. Essentially compression techniques similar to ZIP, RAR, ARJ, etc. are applied on-the-fly to data passing through hardware (or virtual machine) based WAN acceleration appliances.</li><li><span style=\"font-weight: bold;\">Latency optimization</span> – Can include TCP refinements such as window-size scaling, selective acknowledgments, Layer 3 congestion control algorithms, and even co-location strategies in which the application is placed in near proximity to the endpoint to reduce latency. In some implementations, the local WAN optimizer will answer the requests of the client locally instead of forwarding the request to the remote server in order to leverage write-behind and read-ahead mechanisms to reduce WAN latency.</li><li><span style=\"font-weight: bold;\">Caching/proxy</span> – Staging data in local caches; Relies on human behavior, accessing the same data over and over.</li><li><span style=\"font-weight: bold;\">Forward error correction</span> – Mitigates packet loss by adding another loss-recovery packet for every “N” packets that are sent, and this would reduce the need for retransmissions in error-prone and congested WAN links.</li><li><span style=\"font-weight: bold;\">Protocol spoofing</span> – Bundles multiple requests from chatty applications into one. May also include stream-lining protocols such as CIFS.</li><li><span style=\"font-weight: bold;\">Traffic shaping</span> – Controls data flow for specific applications. Giving flexibility to network operators/network admins to decide which applications take precedence over the WAN. A common use case of traffic shaping would be to prevent one protocol or application from hogging or flooding a link over other protocols deemed more important by the business/administrator. Some WAN acceleration devices are able to traffic shape with granularity far beyond traditional network devices. Such as shaping traffic on a per-user AND per application basis simultaneously.</li><li><span style=\"font-weight: bold;\">Equalizing</span> – Makes assumptions on what needs immediate priority based on data usage. Usage examples for equalizing may include wide open unregulated Internet connections and clogged VPN tunnels.</li><li><span style=\"font-weight: bold;\">Connection limits</span> – Prevents access gridlock in and to denial of service or to peer. Best suited for wide-open Internet access links, can also be used links.</li><li><span style=\"font-weight: bold;\">Simple rate limits</span> – Prevents one user from getting more than a fixed amount of data. Best suited as a stop-gap first effort for remediating a congested Internet connection or WAN link.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_WAN_optimization_appliance.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":4,"title":"Reduce Costs"},{"id":5,"title":"Enhance Staff Productivity"},{"id":6,"title":"Ensure Security and Business Continuity"},{"id":7,"title":"Improve Customer Service"},{"id":8,"title":"Reduce Production Timelines"}]},"businessProcesses":{"id":11,"title":"Business process","translationKey":"businessProcesses","options":[{"id":177,"title":"Decentralized IT systems"}]}},"categories":[{"id":536,"title":"WAN optimization - appliance","alias":"wan-optimization-appliance","description":" WAN optimization appliance is a collection of techniques for increasing data-transfer efficiencies across wide-area networks (WANs). In 2008, the WAN optimization market was estimated to be $1 billion and was to grow to $4.4 billion by 2014 according to Gartner, a technology research firm. In 2015 Gartner estimated the WAN optimization market to be a $1.1 billion market.\r\nThe most common measures of TCP data-transfer efficiencies (i.e., optimization) are throughput, bandwidth requirements, latency, protocol optimization, and congestion, as manifested in dropped packets. In addition, the WAN itself can be classified with regards to the distance between endpoints and the amounts of data transferred. Two common business WAN topologies are Branch to Headquarters and Data Center to Data Center (DC2DC). In general, &quot;Branch&quot; WAN links are closer, use less bandwidth, support more simultaneous connections, support smaller connections and more short-lived connections, and handle a greater variety of protocols. They are used for business applications such as email, content management systems, database application, and Web delivery. In comparison, &quot;DC2DC&quot; WAN links tend to require more bandwidth, are more distant and involve fewer connections, but those connections are bigger (100 Mbit/s to 1 Gbit/s flows) and of longer duration. Traffic on a &quot;DC2DC&quot; WAN may include replication, back up, data migration, virtualization, and other Business Continuity/Disaster Recovery (BC/DR) flow.\r\nWAN optimization has been the subject of extensive academic research almost since the advent of the WAN. In the early 2000s, research in both the private and public sectors turned to improve the end-to-end throughput of TCP, and the target of the first proprietary WAN optimization solutions was the Branch WAN. In recent years, however, the rapid growth of digital data, and the concomitant needs to store and protect it, has presented a need for DC2DC WAN optimization. For example, such optimizations can be performed to increase overall network capacity utilization, meet inter-datacenter transfer deadlines, or minimize average completion times of data transfers. As another example, private inter-datacenter WANs can benefit optimizations for fast and efficient geo-replication of data and content, such as newly computed machine learning models or multimedia content.\r\nComponent techniques of Branch WAN Optimization include deduplication, wide-area file services (WAFS), SMB proxy, HTTPS Proxy, media multicasting, web caching, and bandwidth management. Requirements for DC2DC WAN Optimization also center around deduplication and TCP acceleration, however, these must occur in the context of multi-gigabit data transfer rates. ","materialsDescription":" <span style=\"font-weight: bold;\">What techniques does WAN optimization have?</span>\r\n<ul><li><span style=\"font-weight: bold;\">Deduplication</span> – Eliminates the transfer of redundant data across the WAN by sending references instead of the actual data. By working at the byte level, benefits are achieved across IP applications.</li><li><span style=\"font-weight: bold;\">Compression</span> – Relies on data patterns that can be represented more efficiently. Essentially compression techniques similar to ZIP, RAR, ARJ, etc. are applied on-the-fly to data passing through hardware (or virtual machine) based WAN acceleration appliances.</li><li><span style=\"font-weight: bold;\">Latency optimization</span> – Can include TCP refinements such as window-size scaling, selective acknowledgments, Layer 3 congestion control algorithms, and even co-location strategies in which the application is placed in near proximity to the endpoint to reduce latency. In some implementations, the local WAN optimizer will answer the requests of the client locally instead of forwarding the request to the remote server in order to leverage write-behind and read-ahead mechanisms to reduce WAN latency.</li><li><span style=\"font-weight: bold;\">Caching/proxy</span> – Staging data in local caches; Relies on human behavior, accessing the same data over and over.</li><li><span style=\"font-weight: bold;\">Forward error correction</span> – Mitigates packet loss by adding another loss-recovery packet for every “N” packets that are sent, and this would reduce the need for retransmissions in error-prone and congested WAN links.</li><li><span style=\"font-weight: bold;\">Protocol spoofing</span> – Bundles multiple requests from chatty applications into one. May also include stream-lining protocols such as CIFS.</li><li><span style=\"font-weight: bold;\">Traffic shaping</span> – Controls data flow for specific applications. Giving flexibility to network operators/network admins to decide which applications take precedence over the WAN. A common use case of traffic shaping would be to prevent one protocol or application from hogging or flooding a link over other protocols deemed more important by the business/administrator. Some WAN acceleration devices are able to traffic shape with granularity far beyond traditional network devices. Such as shaping traffic on a per-user AND per application basis simultaneously.</li><li><span style=\"font-weight: bold;\">Equalizing</span> – Makes assumptions on what needs immediate priority based on data usage. Usage examples for equalizing may include wide open unregulated Internet connections and clogged VPN tunnels.</li><li><span style=\"font-weight: bold;\">Connection limits</span> – Prevents access gridlock in and to denial of service or to peer. Best suited for wide-open Internet access links, can also be used links.</li><li><span style=\"font-weight: bold;\">Simple rate limits</span> – Prevents one user from getting more than a fixed amount of data. Best suited as a stop-gap first effort for remediating a congested Internet connection or WAN link.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_WAN_optimization_appliance.png"}],"additionalInfo":{"budgetNotExceeded":"","functionallyTaskAssignment":"","projectWasPut":"","price":0,"source":{"url":"http://www.cnews.ru/news/line/2015-12-16_bank_vtb_optimiziroval_rabotu_informatsionnyh","title":"Media"}},"comments":[],"referencesCount":0}},"aliases":{"1":["riverbed-steelhead-for-bank"]},"links":{"first":"http://b4r_be/api/implementations?page=1","last":"http://b4r_be/api/implementations?page=1","prev":null,"next":null},"meta":{"current_page":1,"from":1,"last_page":1,"path":"http://b4r_be/api/implementations","per_page":20,"to":1,"total":1},"loading":false,"error":null},"agreements":{"agreementById":{},"ids":{},"links":{},"meta":{},"loading":false,"error":null},"comparison":{"loading":false,"error":false,"templatesById":{},"comparisonByTemplateId":{},"products":[],"selectedTemplateId":null},"presentation":{"type":null,"company":{},"products":[],"partners":[],"formData":{},"dataLoading":false,"dataError":false,"loading":false,"error":false},"catalogsGlobal":{"subMenuItemTitle":""}}