How to implement API rate limiting by user role in Xano?

Discover how to set up API rate limiting tailored to user roles in Xano. Follow this step-by-step guide to boost API security and work better by managing access according to user privileges.

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Overview

Implementing API rate limiting by user role in Xano tailors access and usage based on assigned roles, keeping things fair and preventing misuse. Different roles get different limits. The process involves defining user roles, setting rate limit policies, and leveraging Xano's tools and conditions to enforce these dynamically. Adjusting rate limits for user roles boosts security, helps manage resources efficiently, and enhances user experience for distinct segments.

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How to implement API rate limiting by user role in Xano?

Step 1: Set Up User Roles

Head over to Xano's dashboard and find the Authentication section.
Create different user roles like Admin, Editor, and Viewer based on what you need.
Assign these roles to your users when they sign up or log in.

Step 2: Add a Rate Limiting Column to User Table

Go to your Database and open the Users table.
Add a new column called rate_limit to store the rate limit for each user based on their role.
Fill this column with values according to the roles, like Admin: 1000 requests/hr, Editor: 500 requests/hr, Viewer: 100 requests/hr.

Step 3: Create a Rate Limiting Table

In the Database section, create a new table named Rate Limits.
Add these columns:
user_id (foreign key linking to user table)
timestamp (timestamp of the request)
request_count (count of requests made)

Step 4: Prepare an API Endpoint to Track Requests

In the API section, create a new API endpoint, maybe call it /track_requests.
Add a function that:
Retrieves the user's rate limit from the Users table.
Checks the number of requests made by the user in the current timeframe from the Rate Limits table.
If the user has exceeded their limit, return an error response.
Otherwise, increment the request_count and update the timestamp in the Rate Limits table.

Step 5: Implement Middleware for Rate Limiting

Create a new function in the Functions section, maybe call it rate_limit_middleware.
Use this function to:
Check the current rate for the user by querying the Rate Limits table.
Update the rate limits as needed.
Return an error if the limit is exceeded, standard response otherwise.
Apply this middleware to all relevant API endpoints by adding it to their pre-function stack.

Step 6: Test the Implementation

Test with different users to make sure they are rate-limited according to their roles.
Ensure that the rate limiting works as expected by making repeated requests and checking the responses.

Step 7: Monitor and Adjust

Regularly monitor the usage stats and adjust the rate limits in the Users table if needed.
Make sure the rate limiting doesn't negatively impact the user experience for legitimate use cases.

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