Unlock the full potential of Xano’s built-in analytics tools with this detailed guide. Discover tips for better performance tracking and making smarter, data-driven decisions.
Getting the hang of Xano’s analytics tools can really boost your app's performance and data insights. These tools bring you real-time metrics, track user behavior, and provide insights straight from your backend. Knowing how to read and use this data means you can improve processes, spot trends, and make smart choices. Before jumping into the details, it's important to get to know the basic interface and main features like dashboards, data visualization, and custom reports. This basic understanding will help you make the most of Xano’s analytics tools.
Step 1: First things first, log in to the Xano dashboard.
Step 2: Pick the workspace that has the API you want to check out.
Step 3: Head over to the 'Analytics' section in the left-hand menu. You might find it under 'Monitoring' or something similar, depending on your Xano version.
Step 4: In the 'Analytics' section, look for the settings icon. It usually looks like a gear or something similar.
Step 5: Set the time range for the analytics data. You can usually choose from options like the last 24 hours, last week, last month, and so on.
Step 6: If you need detailed data, pick specific endpoints or API calls to monitor. By default, you'll see overall data.
Step 7: After setting things up, go back to the main 'Analytics' dashboard.
Step 8: Check out the graphs and tables to understand the data. You'll see metrics like total requests, response times, error rates, and data throughput.
Step 9: Use filters to dig into more specific data points. You can filter by HTTP method, status code, or time period.
Step 10: Go to the 'Custom Reports' section if it's available. You'll usually find it in a submenu within 'Analytics'.
Step 11: Use the report builder to pick the metrics and dimensions you're interested in. Common dimensions include endpoint, user, or geographic location.
Step 12: Save and name your report for future use. Sometimes, you can set up automated email alerts for custom reports.
Step 13: To export data, find the 'Export' or 'Download' option in the 'Analytics' or 'Custom Reports' sections.
Step 14: Choose the format for export, usually CSV or JSON.
Step 15: Pick the date range and specific metrics you want to include.
Step 16: Click the 'Export' button to download the data for offline analysis or reporting.
Step 17: Go to the 'Real-time Monitoring' section for up-to-the-minute analytics data.
Step 18: Set up any real-time alerts for critical metrics, like if error rates go above a certain threshold or if there are unusual spikes in API activity.
Step 19: Keep an eye on real-time charts and logs so you can quickly respond to issues or performance bottlenecks.
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