dApp Performance Metrics (TPS, latency)
1 min read
Pronunciation
[dee-app per-for-muhns meh-triks]
Analogy
Like measuring a restaurant’s throughput by orders served per hour and average time from order to delivery.
Definition
Key measurements of a decentralized application’s throughput (transactions per second) and response time (latency) for user interactions and on‑chain operations.
Key Points Intro
Performance metrics quantify a dApp’s scalability and user experience under load.
Key Points
TPS: Number of transactions the dApp can process per second end‑to‑end.
Latency: Time between user action and transaction confirmation.
Error rate: Percentage of failed or timed‑out requests.
Resource usage: CPU, memory, and network consumption.
Example
A DEX dashboard records 500 TPS during peak traffic with average trade latency of 2 s from click to blockchain confirmation.
Technical Deep Dive
Use load testing tools (k6, Locust) to simulate RPC calls and UI actions. Instrument Prometheus to capture RPC latency histograms, browser performance timings, and smart contract execution gas profiles.
Security Warning
Performance bottlenecks can lead to stale transactions and user frustration; implement autoscaling and circuit breakers.
Caveat
High TPS may increase infrastructure costs; optimize critical paths first.
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