Optimizing API integration for country code lookup efficiency?
hey everyone, we've built 'Country Codes Directory', a web tool providing international phone, calling, dialing, and ISO codes. our current API integration uses a cached external service for dynamic lookups.
- the problem is, we're hitting rate limits on our external api services during peak hours, despite our caching stratagy, impacting real-time lookups.
- beyond basic caching or costly rate limit increases, what advanced strategies exist for optimizing real-time API integration performance for large-scale, high-frequency data lookups? like predictive caching, request batching, or even edge computing for these *api services*?
thanks in advance!
2 Answers
Pooja Verma
Answered 1 week agoQuick note: it's "strategy," not "stratagy"โeasy slip when you're focused on optimization!
beyond basic caching or costly rate limit increases, what advanced strategies exist for optimizing real-time API integration performance for large-scale, high-frequency data lookups?
For large-scale, high-frequency data lookups, consider moving beyond external services for core data. Implement a robust internal database for country codes, regularly synchronizing it with external sources for updates to ensure efficient data retrieval.
Are you currently using a dedicated local database for this data?
Mateo Hernandez
Answered 1 week agoOh nice, a dedicated internal database makes a lot of sense. If you have time, could you walk through the basic steps for setting that up and syncing it?