How New Edge Technologies are Helping Content Delivery Networks

The new content delivery networks (CDNs) have developed new opportunities for connecting endpoint-deployed apps with endpoint devices' content analysis. 

FREMONT, CA: Advanced content delivery networks (CDNs) create new possibilities for pairing endpoint-deployed apps with content analysis of endpoint devices. Instead of merely allowing consumers to push their applications and data closer to the consumer, these edge technologies capture data from internet-of-things devices and mobile end-user devices. It will enable near-real-time AI/machine learning of this information to better understand what the customer is experiencing right now and how the app can provide the most important and engaging information.

This type of data analysis, for example, will help the app determine what kind of device the consumer utilizes to communicate with the application and where it is located. With these insights, personalized content that is specific to the device and the venue can be served. For example, content sent to an automobile can be delivered in a secure format that reduces the driver's distraction.

There are several instances of usage in which this combined benefit can be so inspiring. Among these are applications for sending precise and timely public transportation information delivered up-front to get all the customer on-time to the flight or subway and then, once on-board, to provide rich, targeted information and entertainment. For more personalized customer interactions, retailers, healthcare companies, hotels, and many others must enhance their app experiences with real-time insights inside their facilities. Moreover, gaming companies know that they will have to check who is available, has a useful network link, and is ready to play to ensure intense online social experiences.

In many sectors, including manufacturing, healthcare, oil, automotive, media and entertainment, and others, these abilities can drive significant customer engagement gains and growth opportunities for businesses providing content for apps and websites.

Cloud Alternatives

Also, cloud providers have invested heavily in edge computing and analysis of IoT data. Rather than staying only within public cloud data centers, these serverless and function-as-a-service (FaaS) systems are increasingly becoming deployable at the edge. FaaS frameworks, like Amazon Web Services Lambda, Microsoft Azure Functions, and Google Cloud Functions, offer developers an easy way to develop and deploy Java, C#, JavaScript, or Python cloud-native microservices and then scale them as required automatically. However, where they fall short is by not having a vast network of default edge locations CDNs. Cloudflare and CenturyLink CDN vendors feel that their latest FaaS/serverless offerings, Staff and Quest, have the most comprehensive coverage and efficiency globally.

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