RPC Load Balancing for Blockchain Apps (2026)
How to implement RPC load balancing for blockchain apps: round-robin, latency-based and method-based routing, failover, and provider vs app-level strategies.
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How to implement RPC load balancing for blockchain apps: round-robin, latency-based and method-based routing, failover, and provider vs app-level strategies.
How compute unit pricing works in blockchain RPC — and why eth_getLogs costs more than eth_getBalance on most providers. Plus how fixed request unit pricing changes the math for DeFi teams.
Read real-time token prices from Uniswap, Chainlink and Curve directly via RPC using eth_call. Includes caching strategy, multi-source aggregation and production patterns.
How to build a reliable, production-grade eth_getLogs pipeline. Covers chunking, deduplication, reorg handling, retry logic and storage patterns for indexing blockchain events at scale.
What RPC infrastructure MEV searchers actually need: latency requirements, mempool access, Flashbots endpoint configuration, WebSocket patterns and provider selection criteria.
The Graph and direct RPC endpoints solve different problems. This guide explains when to use each, when to use both, and how to decide based on your application's actual data requirements.
How to dramatically reduce RPC call volume in DeFi applications using Multicall3, response caching, batch requests and WebSocket subscriptions instead of polling.
What RPC infrastructure a production liquidation bot needs — latency, mempool monitoring, health factor scanning, Flashbots submission and failover patterns for DeFi protocols.