Heavy traffic decentralized applications (dApps) that frequently query Ethereum's blockchain encounter significant latency and node congestion. Each user interaction generates multiple JSON-RPC calls, increasing response times and transaction fees. To mitigate these issues, developers can utilize two primary strategies: batching multiple RPC calls and implementing caching layers for frequently accessed data. Utilizing web3.js for batching and caching tools like Redis or Memcached can greatly enhance performance, reducing the load on Ethereum nodes and improving user experience by enabling faster data retrieval and reducing pressure on the blockchain infrastructure.
Heavy-traffic decentralized applications (dApps) querying Ethereum's blockchain frequently face latency due to high node workload, leading to poor user experiences and elevated costs.
Batching decreases overhead by combining multiple RPC calls into one request, while caching eliminates repeated queries, both providing a more optimal solution to dApp performance.
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