We’re launching Lyria 3.5 in Google Flow Music, with advances across musicality, lyrics, vocals, and creative control
deepmind.google·6d ago
AI Engineering
Hacker News·Jun 18·5 min read
Scaling opencomputer from 1 VM to 1 million sandboxes
TL;DR
OpenComputer faced a limitation in scaling due to Azure's regional compute quota, which restricted their capacity to a single virtual machine. To overcome this, they developed a system that splits their infrastructure into cells and utilizes a global registry to manage sandboxes across multiple cloud providers.
✦ Why It Matters
Engineers can learn how to effectively scale applications using multi-cloud strategies to overcome regional limitations.
Key Takeaways
- Implement a multi-cloud strategy for scalability.
- Utilize a global registry for resource management.
- Maintain 50% utilization to justify quota increases.
- Consider regional quotas when planning infrastructure.
Full Summary
OpenComputer initially operated within a single Azure region, constrained by a fixed quota of CPUs that limited their ability to scale. To address this, they implemented a multi-cloud strategy, distributing their infrastructure into cells and employing a global registry to efficiently allocate sandboxes, which are full virtual machines (VMs).
This approach allowed them to leverage resources from four different cloud providers, effectively increasing their total CPU count to one million. The methodology involved maintaining a 50% utilization rate to justify quota increases, which facilitated a smoother scaling process.
As a result, OpenComputer can now add capacity almost indefinitely, overcoming the initial limitations imposed by regional quotas. This development has significant implications for engineers, as it demonstrates the effectiveness of multi-cloud strategies in scaling applications.