连接

Navan API Performance Tuning

jeremylongshorebyjeremylongshore
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2.2k
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API 开发

Optimizes Navan API integrations using advanced caching, parallel fetching, and connection pooling strategies to reduce latency and rate limit hits.

This skill empowers developers to build high-performance integrations with the Navan travel and expense platform by addressing the inherent limitations of its REST-only architecture. It provides production-ready implementation patterns for intelligent response caching based on data volatility, throttled parallel request execution to maximize throughput, and efficient cursor-based pagination. By applying these patterns, developers can reduce API overhead by up to 80%, eliminate redundant fetches, and ensure robust handling of high-volume data syncs for bookings, expenses, and user records.

主要功能

01HTTP connection reuse using Node.js undici agents
02Robust cursor-based pagination to prevent data loss
032,186 GitHub stars
04Data-type-specific TTL caching for users, policies, and bookings
05Throttled parallel request execution with concurrency controls
06Automated rate limit handling with exponential backoff logic

使用场景

01Syncing high volumes of travel bookings and expense reports into external ERP systems
02Managing large-scale user profile updates across enterprise organizations
03Improving real-time dashboard performance by reducing redundant Navan API fetches