You’ve developed a data-intensive app which uses many Jira or Confluence Cloud REST APIs. It worked fast for small test instances, but now your first large customers with large data volumes report your app has become slow for users. You may need to optimize the way you use Atlassian REST APIs.

In this session, Raimonds Simanovskis from eazyBI will discuss how to efficiently use Atlassian REST APIs to minimize the wait time for your users.

He’ll present examples of real-life performance improvement use cases, while discussing how to monitor and measure REST API requests, and make fewer requests; when and what to cache; how to use persistent connections; how to use parallel requests and parallel pagination, and handle pagination inconsistencies; how to request only data you need, and expand additional data; how to handle errors and retry requests; using webhooks instead of REST APIs; and how to identify when data has changed.