what metrics would you use to evaluate fastly's edge computing capabilities?

Introduction

Evaluating Fastly's edge computing capabilities requires a comprehensive approach to product success metrics. To address this challenge effectively, I'll follow a structured framework that covers core metrics, supporting indicators, and risk factors while considering all key stakeholders. This approach will help us gain a holistic understanding of the product's performance and impact.

Step 1

Product Context

Fastly's edge computing platform allows developers to deploy and run code at the network edge, closer to end-users. This capability enables faster response times, reduced latency, and improved application performance. Key stakeholders include:

1. Developers: Seeking to build and deploy applications efficiently
2. Enterprise customers: Looking for improved performance and cost-effectiveness
3. End-users: Expecting fast, responsive applications
4. Fastly: Aiming to grow market share and revenue in the edge computing space

The user flow typically involves developers writing code, deploying it to Fastly's edge network, and end-users interacting with the resulting applications. This fits into Fastly's broader strategy of providing a comprehensive content delivery and edge computing platform, competing with other CDN providers like Akamai and Cloudflare.

In terms of product lifecycle, edge computing is in the growth stage, with increasing adoption and evolving capabilities.

Software-specific context:

• Platform: Fastly's edge computing runs on their global network of servers
• Integration points: APIs for deployment, monitoring, and management
• Deployment model: Code is distributed across edge locations automatically