Monad: Scaling to 40B+ Monthly Requests
How Quicknode’s elastic infrastructure scaled to 50K RPS peaks while attracting a community of developers to the Monad testnet.
- 40 billion +Monthly requests, handling scale from day one
- 25,000Average RPS to support persistent high throughput
- 50,000Burst RPS to handle business critical moments with peak uptime
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Monad is a high-performance, Ethereum-compatible Layer 1 capable of processing up to 10,000 transactions per second, designed for scale without sacrificing decentralization. To support rapid growth and global developer adoption of Monad testnet, Quicknode provisioned dedicated, low-latency RPC endpoints on its auto-scaling, multi-cloud network. This integration delivered enterprise-grade reliability (99.99% SLA), transparent scaling, and a seamless developer experience via SDKs, guides, and 24/7 support, empowering teams to build and ship Monad-powered dApps in minutes.
Challenges
Massive throughput requirements
Monad’s target of 10,000 TPS and sustained builder activity generated billions of RPC calls, necessitating an infrastructure that scales linearly without bottlenecks.
Global low-latency access:
Developers around the world needed sub-100 ms response times from endpoints, even under peak load, to ensure smooth UX for end-users.
Enterprise-grade reliability
Achieving “always-on” availability with minimal maintenance windows was critical to support production dApps and institutional use cases.
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Our globally distributed, auto-scaling, multi-cloud network will carry you from MVP all the way to enterprise. The industry's best trust us, and so can you.
Guides
Use our guides to learn more about smart contracts, NFTs, building decentralized apps, and more.
Read the guidesDocumentation
Learn how to call RPC methods using code examples across Python, Ruby, JavaScript, and cURL.
Read the docs