Combining a worldwide view of Internet traffic and quality of service metrics for publishers, Cedexis ensures customer delight at the lowest available cost of delivery.

April 24, 2017

2 Min Read

Portland, Ore. -- Cedexis, the leader in content and application delivery optimization for clouds, CDNs and data centers, today announced the general availability of its real-time predictive load balancing powered both by community data from its Radar Community and Quality of Service (QoS) metrics from each publisher’s audience. For the first time, streaming video publishers can now ensure consistent Quality of Experience (QoE) for their viewers, while using unique algorithms to keep delivery costs to the lowest level possible.

Streaming video QoS measurements were added as a complimentary feature of the Radar service in March 2017, allowing all Radar community members to quickly and easily track core video quality metrics. These QoS metrics can now be integrated into Openmix load balancing algorithms, and used to ensure that end customers receive the video Quality of Experience they expect and demand.

“For years streaming video providers have wrestled with the competing challenges of providing broadcast quality experiences to their consumers, while dealing with the real costs of traffic delivery,” said Ryan Windham, Cedexis CEO. “By integrating QoS metrics into our application delivery platform, Cedexis is helping publishers around the world to thrill their viewers, while protecting their economic models with powerful, real-time traffic delivery decisioning.”

The Cedexis Radar community currently tracks the status of Internet delivery through 10 billion real user measurements every day. This data is then used by the Openmix global server load balancer to make real-time predictive traffic routing decisions, which ensures Cedexis customers consistent quality, and the swift avoidance of congestion and outages. Openmix algorithms – which can be adjusted and executed in just minutes by customers using simple JavaScript code – can also take into account data ingested from other sources to make optimal economic decisions. This data may include contracts with cloud providers, usage tracking from CDNs, performance data from PLM services, and others.

Cedexis

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