What can be done to ensure API calls do not exceed limits during integration processes?

Monitoring usage and optimizing queries to reduce API load is a crucial strategy to ensure that API calls remain within limits during integration processes. By actively tracking the number of API calls being made and analyzing the performance of those calls, one can identify patterns and make necessary adjustments to optimize the API usage.

Optimization involves refining queries to be more efficient, which can drastically reduce the volume of calls needed. For example, rather than pulling large datasets in multiple calls, it may be possible to refine the queries to pull only the required data in fewer calls. This strategy is especially important in a Salesforce environment, where API limits can be strict.

In contrast, increasing batch size with asynchronous processing might seem beneficial for efficiency, but it can also lead to exceeding API limits if not carefully managed. Implementing better error handling can enhance the robustness of the integration but does not directly prevent excessive API usage. Increasing the duration of integration jobs does not effectively address the issue of exceeding limits and could lead to other performance issues.