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If you find that something feels slow, whether that’s a specific function or an entire workflow, follow these steps to troubleshoot and resolve the issue.

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Quick Checks

Before diving into more detailed troubleshooting, perform these quick checks:
  • Can you access your instance from the instance selection screen?
  • Are your APIs responding, even if slowly?
  • Are you able to access the Xano UI without significant delays?
  • Does the Xano Status Page show any ongoing incidents or maintenance?
If you answered “no” to any of the above questions, please refer to the appropriate troubleshooting guide:

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Identify what is slower than expected

In the sidebar, switch to the Monitor tab, and select Performance Insights.

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What can I see with Performance Insights?

Performance Insights enable you to analyze performance of specific function stacks or function types across your entire workspace. You’ll be able to easily answer questions like:
  • How long does a specific Lambda function take to run, on average, over the last 24 hours?
  • What are my top 5 most resource intensive database queries?
  • What API takes the longest to run consistently?

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How do I use Performance Insights?

Use the image below and the table to learn more about each section of the Performance Insights screen. performance-insights-20250919-153718 Once you’ve identified specific functions or workflows to address, you can take steps to optimize them. Consider the following optimization techniques:
  1. Get a dedicated instance in a region that’s closest to your customers
    The Free plan shares resources with other users. When you upgrade, each paid Xano instance is on dedicated resources and allows you to deploy in the region of your choice. The closer the server is to your users, the faster the response time will be. Xano uses Google Cloud under the hood, so if you don’t see a region that is listed on their supported regions page, please contact support. If there is enough demand, we will open a new region.
  2. Optimize Database Performance
    Review our best practices for Database Performance and Maintenance. Proper indexing, query optimization, and regular maintenance can significantly improve performance.
  3. Simplify your Function Stack
    This may seem obvious, but producing a response in ten (10) functions is slower than doing it in three (3). It’s also important to remember that the number of functions in the function stack could be different than the statements that get executed (for example, if you have a loop).
  4. Use Addons when requesting related data
    Addons are Xano’s way of enriching the response of a Database query without a heavy volume of requests. As a simple example, let’s say you want to get 100 unique books and their associated 100 unique authors. Normally that would be 101 requests (1 request for all books, and a request to retrieve each author). With the magic of Addons, it’s only 2 requests (1 to get the books, 1 to enrich the authors).
  5. Use Data Caching
    When working with large datasets or external API endpoints that have a rate limit/cost associated with them. (request caching, function caching, redis caching).
  6. Use the Stream return type
    when looping through large sets of data. This will retrieve your records in a memory-efficient way.
  7. Use Expressions for data transformations
    Expressions are optimized for performance and can often replace multiple statements with a single expression.
  8. Use the Logic Assistant to find optimization opportunities
    The Logic Assistant analyzes your function stacks and provides recommendations for improving performance and efficiency. Click the Logic Assistant button in the visual builder to get started.