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System Design
ByteByteGo·May 26·5 min read
How Vercel Cut Build Wait Times From 90 Seconds To 5
TL;DR
Vercel's build pipeline faced a bottleneck: deployments took 90 seconds, slowing developer iteration cycles. The team analyzed constraints in their build system architecture and implemented targeted optimizations including caching strategies, parallelization, and resource allocation improvements.
✦ Why It Matters
Engineers can apply constraint-based optimization methodology to identify and eliminate bottlenecks in their own build and deployment pipelines.
Key Takeaways
- Implement microVMs for better isolation in multi-tenant applications.
- Optimize build processes by caching images and using warm pools.
- Evaluate the trade-offs of custom infrastructure versus off-the-shelf solutions.
- Focus on security when designing systems that handle untrusted code.
How It Works
Vercel's Hive architecture uses Firecracker microVMs to run each build in isolation, ensuring that potentially harmful code cannot interfere with other builds. By caching build images and maintaining a warm pool of pre-booted cells, Vercel significantly reduces the time required to provision builds, achieving a rapid response even during traffic spikes.