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Cedexis Fusion Tames Big Data Flows for Traffic Shaping

Cedexis Fusion Tames Big Data Flows for Traffic Shaping

Web optimization company Cedexis launched Cedexis Fusion, a component of its Software as a Service platform to integrate big data flows from third-party tools, CDNs and clouds to enable a wide range of performance, availability and cost-for-performance traffic shaping.

Web optimization company Cedexis launched Cedexis Fusion, a component of its Software as a Service platform to integrate big data flows from third-party tools, CDNs and clouds to enable a wide range of performance, availability and cost-for-performance traffic shaping.

Cedexis Fusion integrates that data into the Cedexis Openmix platform, which acts as a global load balancer, driving traffic to the most available, best performing or least costs-for-performance resources. Monitoring and performance data is aggregated in real-time and makes this big data actionable. A range of pre-built integrations are available immediately, including New Relic and AppDynamics application performance monitoring software; Akamai, Level3, Edgecast and ChinaCache CDNs; SoftLayer’s server management data, and many others.

“So many systems produce volumes of Big Data, but making that data real-time actionable has been difficult or impossible," said Greg Unrein, VP of Product Management of Cedexis. Fusion allows customers to make their monitoring investments really pay off, accessing all of their Big Data metrics, and automating the process of reacting to the data to improve website performance. Cedexis Fusion is more than a data aggregator. It is the point of convergence of all the real-time Big Data streams that feed our cloud-based global load balancer – Cedexis Openmix.  With Openmix, Fusion customers have a single place to define how they wish to detect and avoid Internet congestion and service disruptions to achieve 100% service availability."

Cedexis hosts a Developer Exchange as well, for custom innovations and private data ingestion ideas. Customers can automate big data streams from any HTTP source. Example applications include green energy sensitivity, least costs routing and incorporation of private measurements from internal systems. Additional use case examples for Fusion include a one stop interface for purging content on CDNs, predicting over-utilization, minimizing bandwidth bursting charges, and avoiding slow shopping carts.

Privately held Cedexis was founded in 2009 and its platform  optimizes web performance across data centers, content delivery networks (CDNs) and clouds for companies that want to ensure 100% availability and extend their reach to new global markets. Companies rely on Cedexis to ensure 100 percent availability, fast page loads, downloads and transactions to drive traffic and revenue at lower cost and risk.

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