About
Fastly Compute is a high-performance serverless edge platform designed to help developers build instant, personalized, and globally distributed applications. Powered by WebAssembly via Wasmtime, it enables near-zero cold-start times and strong security isolation by design — protecting against memory-safety vulnerabilities and containing request-level risks automatically. Developers can use familiar languages and tools while gaining the ability to run logic at the network edge — closer to users, with multi-terabit-per-second global infrastructure that scales up and down dynamically. The platform charges only when code actually runs, making it cost-efficient for both startups and enterprise workloads. Key capabilities include the Fastly KV Store for ultra-low-latency data reads at the edge, and Fastly Fanout for broadcasting personalized, real-time messages to billions of users simultaneously with just a few lines of code. This unlocks powerful 'For You'-style recommendation engines and live personalization without costly infrastructure rebuilds. Fastly Compute is ideal for teams building content platforms, commerce experiences, community apps, or AI-powered inference workflows at the edge. It integrates into existing stacks without requiring a full migration, making it accessible to engineering teams of all sizes. With full programmable control over every layer between developer and user, Fastly Compute eliminates the traditional trade-off between personalization and performance.
Key Features
- WebAssembly-Powered Instant Startup: Uses Wasmtime to start code execution in milliseconds, eliminating cold-start delays common in traditional serverless platforms.
- Edge KV Store: A globally distributed key-value store optimized for ultra-low-latency data reads directly at the edge, enabling real-time personalization without round-trips to origin.
- Fastly Fanout — Real-Time Messaging: Push perfectly personalized messages to billions of users simultaneously around the world with minimal code, enabling live feeds, notifications, and dynamic recommendations.
- Secure by Design: Memory-safety guarantees via WebAssembly and per-request isolation protect against entire classes of security vulnerabilities without additional developer effort.
- Global Auto-Scaling Network: Multi-terabit-per-second globally distributed infrastructure that scales dynamically with demand — you only pay when your code actually runs.
Use Cases
- Delivering personalized 'For You' content recommendations at the edge without sacrificing page load performance.
- Running AI inference routing or lightweight model inference at globally distributed edge nodes to reduce latency for end users.
- Broadcasting real-time personalized notifications and live updates to millions of concurrent users using Fastly Fanout.
- Implementing edge-side A/B testing, feature flagging, and request enrichment without modifying origin infrastructure.
- Building low-latency e-commerce experiences with dynamic pricing, inventory checks, and user-specific promotions served directly from the edge.
Pros
- Near-Zero Latency at the Edge: WebAssembly execution and global edge nodes ensure code runs in milliseconds anywhere in the world, significantly improving end-user experience.
- No Stack Rebuild Required: Fastly Compute integrates with existing infrastructure, letting teams adopt edge computing incrementally without overhauling their entire architecture.
- Strong Security Defaults: WebAssembly sandboxing provides memory safety and request isolation out of the box, reducing the burden on developers to harden their deployments manually.
- Pay-Per-Use Pricing: Billing is based solely on code execution, making it cost-efficient for variable workloads and accessible for teams of any size.
Cons
- WebAssembly Language Constraints: While multi-language support is offered, not all languages and runtime libraries compile cleanly to WebAssembly, which may require code adjustments for some existing projects.
- Learning Curve for Edge Paradigms: Developers accustomed to traditional cloud or origin-based architectures may need time to understand edge-specific patterns for data consistency and request routing.
- Enterprise Pricing Complexity: Advanced features and enterprise-grade SLAs require contacting sales, making it harder to evaluate full costs upfront for larger deployments.
Frequently Asked Questions
What programming languages does Fastly Compute support?
Fastly Compute supports multiple languages that compile to WebAssembly, including Rust, JavaScript/TypeScript, Go, and others. Developers can use familiar toolchains without learning a new language.
How does Fastly Compute differ from traditional serverless platforms?
Unlike origin-based serverless functions, Fastly Compute runs code at the network edge — geographically close to end users — achieving near-instant startup times and dramatically lower latency via WebAssembly instead of containers or VMs.
What is the Fastly KV Store?
The Fastly KV Store is a globally distributed key-value database accessible directly from edge compute functions. It enables real-time data lookups at the edge without calling back to an origin server, making personalization and feature flagging extremely fast.
Is Fastly Compute suitable for AI and ML inference workloads?
Yes. The edge deployment model, instant startup, and low latency make Fastly Compute well-suited for running lightweight AI inference, routing requests to AI backends, or enriching responses with edge-side logic before delivering to users.
How do I get started with Fastly Compute?
You can create a free account directly on the Fastly website and begin deploying edge functions immediately. Enterprise plans with dedicated support and advanced SLAs are available by contacting the Fastly sales team.
