Monad: Scaling to 40B+ Monthly Requests

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.

Simplified integration

Providing REST/WebSocket RPC, plus first-class SDK support across JavaScript, Python, Ruby, and more, was essential to reduce onboarding friction.

Developer tooling & testnets

Builders required easy access to testnet Monad faucets, debug APIs, and real-time monitoring to iterate quickly.

Dedicated, globally distributed RPC endpoints

Quicknode spun up optimized Monad testnet nodes in multiple regions, automatically routing requests to the nearest healthy endpoint for lowest latency.

Auto-scaling, multi-cloud infrastructure

Leveraging Quicknode’s resilient network, capacity scales elastically with traffic, with built-in failover to maintain 99.99% uptime SLAs across all deployments.

Comprehensive SDKs & docs

Quicknode’s SDK and code examples (cURL, JS, Python, Ruby, Web3-libs) allowed teams to integrate Monad testnet RPC in minutes, with minimal boilerplate.

Enterprise support & SLAs

24/7, globally distributed support teams (sub-15 min critical response) and custom SLAs ensured any issues were addressed immediately.

Over 40 Billion Requests processed per month for Monad testnet.

High Reliability

Quicknode’s globally distributed infrastructure delivered 99.99% uptime from day one, ensuring uninterrupted access for developers and end-users.

専任のサポート

24/7 enterprise support with sub-15 min critical-issue SLAs drove faster incident resolution and higher developer satisfaction.