When your app need large no of data to process like sending bulk emails and updateing thousands of records or process large calculation, so it is important to optimize ur backend workflow to avoid slow performance.
Here is how you can do it :
1.Use Scheduled API Workflows
Instead of doing everything in onetime , break your task into smaller and process them step-by-step using scheduled backend workflows. For example process 50 or 100 records at a time then schedule the next after on finish
- Use pagination
You can do this by filtering or paginating records and running the backend workflow on each dataset.
- Create Custom Events
Create reusable custom events in backend workflows . This helps keep your workflows organized and easier.
- Limit the Data You Process
Always filter your data as narrowly as possible before processing it. For example, only update records that actually need changes instead of all records.
- Monitor Workflow Logs
Use Bubble’s built-in logs to check workflow performance and errors.
- Use Conditional Checks
Add conditions inside your workflows to skip unnecessary actions. For instance, only send an email if certain criteria are met.
- Avoid Overloading with Too Many Scheduled Calls
Be careful not to schedule too many workflows at once, which can overload your app or hit Bubble’s limits. Pace your scheduled workflows to avoid congestion.
Thanks
Sagar Patwal