Fastly
Case Studies
Swift SDK for Compute@Edge: A Leap for Serverless Swift
Overview
Swift SDK for Compute@Edge: A Leap for Serverless SwiftFastly |
Analytics & Modeling - Machine Learning Platform as a Service (PaaS) - Application Development Platforms | |
Cement Equipment & Machinery | |
Product Research & Development | |
Edge Computing & Edge Intelligence Fog Computing | |
System Integration Testing & Certification | |
Operational Impact
The creation of a Swift runtime for Compute@Edge by Andrew Barba has opened up new possibilities for the use of Swift on servers. This development has made it easier for the iOS developer community to run Swift on the server, reducing the need for extensive knowledge about cloud architecture and Docker files. The direct integration of Swift and Compute@Edge has resulted in fewer layers of abstraction and much smaller packages, simplifying the development process. Furthermore, Barba's work has highlighted the potential of edge computing and has sparked discussions about new use cases, such as image optimization and machine learning. His work has also contributed to the broader community of developers, aligning with Fastly's ethos of 'by developers, for developers'. | |