IoT analytics create new edge computing value props for content delivery networks

Modern content delivery networks (CDNs) are unlocking new opportunities to pair endpoint-deployed applications with endpoint device content analysis. Rather than simply enabling clients to push their apps and data closer to the customer, these edge technologies are collecting data from internet-of-things devices and end-user mobile devices, then enabling near-real-time AI/machine learning of this data to help your application best understand what the customer is experiencing right now and how your app can deliver the most relevant and engaging insights.

For example, this type of data analysis can help your app identify what type of device your customer is using to engage your application (or your content) and where they are located (e.g., car or retail store). With these insights, you can serve up targeted content that is customized to the device and the location. Content sent to an automobile, for example, can be delivered in a safe format that minimizes driver distraction.

There are many use cases where this combined value can be so empowering. Among these are apps for sending accurate and timely information about public transportation that is delivered up front to get the customer to the flight or subway on time and then, once onboard, to deliver rich, targeted information and entertainment. Retailers, healthcare firms, hotels, and many others need to empower their app experiences with real-time insights within their facilities for more personalized customer experiences. And gaming companies know that to ensure strong online social experiences, they need to verify who is available, has a solid network connection, and is ready to play.

These capabilities will drive significant customer experience gains and innovation opportunities for companies delivering content for apps and websites in many industries, including manufacturing, healthcare, energy, automotive, media and entertainment, and others.

I’m kicking off research focusing on CDN market expansion where I hope to provide insight into how these vendors’ solutions are evolving, which types of endpoint devices and content they are incorporating, and the resulting near-real-time gains achieved. The challenges facing firms that look to integrate these types of endpoint data sets will also be addressed.

CDNs were at the forefront of edge computing in the early days of the internet. The chart below shows the expanding reach of CDNs over the past 30 years.

With the current high volume of employees working from home due to sheltering mandates, edge content delivery and experience optimization are more critical for your company’s and/or government agency’s success. These capabilities help empower your employees and customers to have better experiences from home.

Top Cloud Providers


Top cloud providers in 2020: AWS, Microsoft Azure, and Google Cloud, hybrid, SaaS players


Top cloud providers in 2020: AWS, Microsoft Azure, and Google Cloud, hybrid, SaaS players

The cloud computing race in 2020 will have a definite multi-cloud spin. Here’s a look at how the cloud leaders stack up, the hybrid market, and the SaaS players that run your company as well as their latest strategic moves.

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There has so far been a massive increase in CDN traffic volumes since these COVID-19 life changes have happened. Akamai reported traffic increases of more than 30%: 82 terabytes per second (Tbps) in March 2019 compared to 167 Tbps in March 2020 — that’s traffic across its 4,100 locations in 136 countries and 1,000 cities. Azion, Fastly, and another CDN vendor all reported that their CDNs have seen a 70% increase in global traffic to news and digital publishing sites from February to March 2020. Likewise, video streaming services, gaming, social media, and educational brands saw traffic increases of 28% or higher during this period, with Cloudflare reporting a 40% increase from January 1 through May 20.

The leading cloud platforms and CDNs have all expanded their global market reach substantially by placing servers all over the world, and their edge computing offers lower latency by enabling apps to be placed very close to the end users.

Cloud Alternatives

Cloud platforms have also invested heavily in edge computing and IoT data analysis. These serverless and function-as-a-service (FaaS) platforms are quickly becoming deployable at the edge, rather than just within the public cloud data centers. FaaS platforms, such as Amazon Web Services Lambda, Microsoft Azure Functions, and Google Cloud Functions, give developers a fast way to build and deploy cloud-native microservices in Java, C#, JavaScript, or Python and then automatically scale them as needed. Where they fall short, however, is not having as broad a network of default edge locations, as CDNs do by default. CDN vendors Cloudflare and CenturyLink feel that their current FaaS/serverless offerings, Workers and Quest, provide the broadest global reach and performance.

If this expanded value prop appeals to you and if you are using CDNs today, we’d love to know. We want to hear your thoughts, stories, and feedback on your use of CDNs and their value to your organization. Reach out to us at jstaten@forrester.com and estutzman@forrester.com.

This post was written by VP, Principal Analyst James Staten, and it originally appeared here.  

Article source: https://www.zdnet.com/article/iot-analytics-create-new-edge-computing-value-props-for-content-delivery-networks/#ftag=RSSbaffb68