erpc

To improve Ethereum JSON-RPC reliability, you can use finality-aware caching and per-chain routing to provide deterministic responses and automatic upstream failover. This approach reduces tail latency through hedging requests across multiple available upstreams.

Finality-aware caching for JSON-RPC is a mechanism that avoids caching recent blocks and stale responses. It is needed to prevent serving non-finalized blockchain data, ensuring that clients receive deterministic and accurate state information without compromising data integrity.

You configure automatic failover by setting up per-chain routing rules that connect multiple upstreams, such as vendors and local nodes. The system monitors upstream availability and automatically redirects traffic to healthy nodes to maintain your service level agreement.

Yes, you can use JSON-RPC caching in a multi-chain environment by implementing per-chain finality policies. This allows the caching layer to respect the specific finality rules and retry rules of each individual blockchain network while maintaining robust failover.

The best way to handle stale responses when caching Ethereum JSON-RPC data is to apply finality-aware caching policies. These policies ensure that only finalized block data is cached, automatically bypassing the cache for recent blocks to avoid serving outdated information.

Yes, JSON-RPC hedging improves availability for multi-upstream deployments by sending concurrent requests to multiple upstreams. It uses the first valid response received, which significantly reduces tail latency and mitigates the impact of a single slow or failing node.