Xano

How to manage API quotas and rate limits per user in Xano?

Discover practical tips for handling API quotas and rate limits per user in Xano. Keep things running smoothly and stay within policy guidelines.

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Overview

Managing API quotas and rate limits per user in Xano is super important to keep things running smoothly and fairly. It sets up controls to limit how many requests each user can make during a certain time. Essential steps involve setting up rate limiting rules in the Xano dashboard, using user-specific identifiers, and keeping an eye on usage data. These measures help stop abuse, cut down server load, and offer a more reliable service to everyone. Good management means always watching and tweaking things based on how it's used and what feedback comes in.

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How to manage API quotas and rate limits per user in Xano?

Step 1: Navigate to API Settings

First things first, head over to the Xano dashboard. Find the API endpoint you want to tweak the quotas and rate limits for. Click on that endpoint to dive into its settings.

Step 2: Create a Rate Limit Middleware

Next, go to the "Middleware" section. Hit the "Add Middleware" button to create something new. Give it a name that makes sense, like "Rate Limit Middleware."

Step 3: Define Rate Limit Logic

Now, in your "Rate Limit Middleware," you'll need to add some logic to keep track of how many requests a user makes. This might include:

  • Checking request metadata to figure out who the user is
  • Looking at a database or in-memory store to count how many requests this user has made in a certain time period.

Step 4: Set Quota and Time Frame

Set up the quota and the time frame for your rate limits. For instance, you might allow 100 requests per user per hour. Store this info in a persistent storage or an in-memory cache like Redis.

Step 5: Apply the Middleware

Head back to your API endpoint settings and apply the "Rate Limit Middleware" to the endpoints you want to protect. This way, every request to these endpoints will be checked against your rate limit logic.

Step 6: Respond to Exceeded Quotas

In your "Rate Limit Middleware" logic, add a condition to handle cases where a user goes over their quota. You could return an HTTP 429 (Too Many Requests) status code with a clear message saying they've hit their limit.

Step 7: Monitor and Adjust

Keep an eye on how your rate limiting is performing. Make tweaks to the quotas, time frames, and logic as needed to keep things running smoothly and ensure a good user experience.

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