What is Compute@Edge?

Fastly's Compute@Edge platform equips developers with the tools needed to build high-performance applications that are distributed globally, executing edge code without the hassle of infrastructure management. You can craft complex logic for any application or backend service through our secure, scalable serverless computing framework. With Compute@Edge, you can witness a remarkable 100x boost in code execution startup times when compared to traditional serverless solutions. Your code operates simultaneously across a multitude of servers located around the globe, effectively removing challenges such as cold starts and roundtrip delays, and guaranteeing a fast and reliable computing experience. This method emphasizes improved user experiences, which is crucial for digital transformation efforts. You can easily write, deploy, and test your code at the Fastly edge, benefiting from a strong local development and debugging environment. Moreover, we manage all essential elements to ensure your application can scale quickly and globally, positioning it as near to your end users as feasible. This streamlined process allows you to concentrate on driving innovation, while we take care of the intricate details of deployment and scaling, fostering a more agile development environment. Ultimately, this ensures that you can bring your ideas to life without unnecessary interruptions.

Integrations

Offers API?:
Yes, Compute@Edge provides an API

Screenshots and Video

Compute@Edge Screenshot 1

Company Facts

Company Name:
Fastly
Date Founded:
2011
Company Location:
United States
Company Website:
www.fastly.com/products/edge-compute

Product Details

Deployment
SaaS
Training Options
Documentation Hub
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Compute@Edge Categories and Features