BOSTON--(BUSINESS WIRE)--Ipanema Technologies – the industry leader in network solutions allowing enterprises to guarantee their application performance – today announced its new Cloud Application Management (CAM) solution. The CAM solution helps companies manage applications flowing across networks to and from the cloud. With CAM, enterprises can easily understand and control their business application usage and performance from public cloud, private cloud and hybrid cloud, protecting vital network resources from being consumed by recreational apps such as YouTube and Facebook.
Ipanema’s CAM solution delivers two levels of powerful reporting to ensure companies can understand what’s happening across their corporate network and guarantee application performance:
- Time evolution reports offer a technical picture of the usage of cloud applications at a certain site over a period of time
- Overview reports deliver higher-level information such as insight on the sites at which application performance is worst and the average number of users accessing each application
Ipanema’s CAM solution is complimented by its Dynamic Hybrid Network solution, which allows enterprises to combine both traditional MPLS networks with Internet networks. The Dynamic Hybrid Network solution simultaneously and automatically monitors, controls, accelerates and selects the most appropriate path for an application traffic flow, across two or more networks.
Traditionally companies have struggled to guarantee the performance of applications hosted outside the organization itself. Ipanema’s CAM solution enables companies to have transparency into these previously obscured applications, allowing businesses to take charge of various components and prioritize what matters. For the first time, companies can review reports that give insight not just into their own environment, but also into applications that operate via the cloud.
David White, President of North America for Ipanema Technologies commented: “Accessing applications from the cloud simplifies a company’s IT but drastically increases the complexity of the demands placed upon its network. Applications compete for often scarce network resource and traditional methods for ensuring efficient performance are rendered ineffective as hardware cannot always be placed in cloud data centers and much is beyond the company’s control.”
The recent major research study into application performance “KillerApps 2013” revealed that:
- 72% of organizations regularly use applications hosted in the cloud, such as Unified Communications and collaboration software. 48% often use Cloud SaaS applications (like Salesforce.com).
- These apps are suffering problems, with 28% of respondents noting that UC and collaboration tools suffer problems most frequently
- These problems seem set to continue as the cloud grows in importance, with 20% of respondents noting that Cloud SaaS apps will place the greatest strain on their company’s network in the future.
David White continued: “Forrester finds that 52% of companies today are seeing performance problems with their SaaS applications and that Microsoft 365 and Google Apps both widely adopted as primary office productivity tools so ensuring users receive a seamless experience is becoming evermore important.”
“Ultimately,” concludes David, “the CAM solution enables companies to provide Quality of Service to their users, even though applications are operating outside the core network. It’s empowering organizations to deliver business critical applications whether managed in-house or elsewhere.”
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About Ipanema Technologies
Ipanema helps enterprises to guarantee ERP, CRM and business application
performance to every user regardless of the complexity of their IT. CIOs
maintain control of their applications and can dynamically adapt to new
usages.
www.ipanematech.com
About the KillerApps 2013 research
Independent research firm Vanson Bourne undertook the ‘Killer Apps 2013’ study. Responses were provided by IT decision makers from large businesses with at least 1000 employees using an online survey methodology.