On September 18, Google Cloud introduced a new Blockchain Remote Procedure Call (RPC) service, designed to accelerate the development of decentralised applications (DApps) within the Web3 ecosystem.
The service allows developers to interact with Ethereum blockchain data via simple API calls, reducing the complexity of integrating blockchain functionality into Ethereum-based DApps.
Versatility for Developers of All Sizes
Initially supporting the Ethereum mainnet and test networks, Google Cloud’s Blockchain RPC is fully compatible with the Ethereum JSON-RPC standard. This makes it accessible for developers to integrate into existing applications with minimal adjustments.
Google Cloud plans to extend support to additional blockchains over the next year. Designed for a wide range of developers—from startups to enterprises—the service also scales automatically to handle increased request volumes, providing a seamless user experience.
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Scalable Solutions and Future Enhancements
The free tier of Google Cloud’s Blockchain RPC supports up to 100 requests per second and 1 million requests per day, catering to many developers.
For more resource-intensive enterprise projects, a premium version is expected to launch in the coming months, providing enhanced computational capabilities.
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RPC Challenges in the Expanding Web3 Space
Google Cloud's new service arrives at a time when the Web3 ecosystem faces challenges related to RPC performance.
For example, in June 2023, the ZkSync Era Layer-2 network experienced significant congestion due to high user demand during a token claim event.
These performance issues highlighted the need for more robust RPC solutions as the Web3 space continues to grow.
Google Cloud’s Role in Web3 Infrastructure
The Blockchain RPC service adds to Google Cloud’s broader portfolio of Web3 infrastructure offerings, including node hosting and blockchain analytics through BigQuery.
Google Cloud already supports multiple networks such as Aptos, Arbitrum, Solana, and Hedera, providing developers with tools to build and scale their decentralised applications.