Best Practices

Simple pointers on standard practices when implementing Waza APIs

When integrating with the Waza API, following best practices to ensure seamless transactions, enhanced security, and optimized performance is essential. Here are some recommended integration best practices:

  1. Thorough Testing: Before going live, extensively test your integration in our sandbox environment. Ensure all possible scenarios, edge cases, and error handling are well-tested.

  2. Error Handling: Considering our commitment to clear error feedback, develop robust error-handling mechanisms. Properly handle different HTTP error codes and present user-friendly messages to end-users when necessary.

  3. Store Events: It's recommended to store received events (especially webhooks) for future analysis or debugging.

  4. Rate Limiting Awareness: Implement mechanisms to queue and retry requests, ensuring you don't exceed these limits and cause service disruptions.

  5. Idempotency: Use idempotent requests wherever applicable to ensure safe retries. This ensures that if a request is made more than once, it won't have a different outcome.

  6. Keep Your API Keys Secret: Never expose your Secret API keys in client-side code or public repositories. Regularly rotate and update your API keys for enhanced security.

  7. Stay Updated: Regularly check for updates or changes to our documentation. This ensures you're always leveraging the latest features and security enhancements.

  8. Validation: Before sending a request, validate all data on the client side to ensure it meets the API's requirements. This reduces unnecessary failed requests.

For Pagination

  1. Navigating through Pages: Begin with page=1 and incrementally adjust the page number until the returned.total_pages value is met.
  2. Tailoring Page Size: If dealing with numerous minor entries or if bandwidth isn't a concern, consider amplifying the limit. If otherwise, reduce the limit if data items are extensive or bandwidth is constrained.
  3. Managing Extensive Datasets: Constantly monitor total_items and total_pages. With significantly large datasets in view, employ strategies like filtering or sorting to minimize the items you need to process.