Akamai helps developers to build microservices at the edge

Akamai helps developers to build microservices at the edge
Editor at TechForge Media. Often sighted at global tech conferences with a coffee in one hand and laptop in the other. If it's geeky, I'm probably into it.

Akamai’s latest platform update helps developers to build innovative microservices at the edge.

The company is known for running one of the world’s largest Content Delivery Networks (CDN) but has recognised a shift to a “builder culture” from its customers which has led it to double-down on its edge computing solutions.

While edge computing is gaining traction due to exciting new advancements in areas like AI and the IoT, Akamai has technically been a player for over 20 years.

In 2001, the company helped to create the Edge Side Includes (ESi) standard which moved business logic from local to Akamai’s edge—more commonly known today as serverless computing.

Akamai began using the term “edge computing” in 2002. In 2004, the company even published a paper (PDF) on “Extending Enterprise Applications to the Edge of the Internet” using Java and .NET technology.

With the next-generation of edge computing now upon us, Akamai is building on its legacy to help developers take advantage of its potential.

Akamai Intelligent Edge is the world’s largest distributed network platform, according to IDC.

The latest update to Akamai’s platform helps developers to code dynamic content assembly at the edge. In practice, this means developers can build microservices which support external requests and the ability to manipulate response bodies.

EdgeWorkers – which enable JavaScript functions to be executed at the edge – can now have their performance and resource consumption monitored in the Akamai Control Center. That data can also be retrieved using API calls.

Akamai’s Image & Video Manager (IVM) has also been significantly improved.

The IVM optimises images and videos using Akamai’s edge computing capabilities and returns versions which are best suited for the end-user based on what hardware and software they’re currently using.

A new self-explanatory API called ‘Video optimization status’ provides an update on current tasks. In the case of failure, the API can provide an insight into what caused it.

Two new video quality levels have been added to provide more granular control over whether higher visual quality or greater byte reduction should be prioritised. A video analysis report can help to discover any unoptimised traffic on the network and estimate potential savings.

Akamai’s latest platform update shows the company plans on maintaining its historic edge leadership as we move into the exciting next-generation of the technology.

(Photo by Ken Suarez on Unsplash)

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