Install Vercel Speed Insights#1
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# Vercel Speed Insights Configuration Report ## Summary Successfully installed and configured Vercel Speed Insights for this Flask application following the official Vercel documentation. ## What Was Implemented ### 1. Documentation Review - Fetched the latest installation instructions from https://vercel.com/docs/speed-insights/quickstart - Analyzed project structure to identify it as a Flask (Python) application with static HTML templates - Determined the appropriate integration method: vanilla HTML/JavaScript script tags ### 2. Project Analysis This is a Flask-based web application with: - Python backend (Flask 3.0.2) - 8 HTML template files (no shared base template) - Static file serving - Deployed on Vercel using Python runtime ### 3. Implementation Details Added Vercel Speed Insights tracking scripts to all 8 HTML template files: - templates/index.html - templates/DA.html - templates/DE.html - templates/DS.html - templates/about.html - templates/login.html - templates/signup.html - templates/selfpractice.html Each file now includes the following scripts just before the closing `</body>` tag: ```html <!-- Vercel Speed Insights --> <script> window.si = window.si || function () { (window.siq = window.siq || []).push(arguments); }; </script> <script defer src="/_vercel/speed-insights/script.js"></script> ``` ### 4. How It Works **First Script (Queue Initialization):** - Creates a buffer function `window.si` that queues Speed Insights calls - Ensures events can be captured even before the main tracking script loads - Prevents any loss of performance data during page load **Second Script (Tracking Module):** - Loads the Speed Insights tracking script from Vercel's CDN endpoint `/_vercel/speed-insights/script.js` - Uses the `defer` attribute to load asynchronously without blocking page rendering - This endpoint is automatically served by Vercel when the site is deployed ### 5. What Will Be Tracked Once deployed to Vercel and enabled in the dashboard, Speed Insights will automatically track: - **Core Web Vitals:** - Largest Contentful Paint (LCP) - First Input Delay (FID) - Cumulative Layout Shift (CLS) - First Contentful Paint (FCP) - Time to First Byte (TTFB) - Interaction to Next Paint (INP) ### 6. Verification Performed ✓ All 8 HTML files successfully modified ✓ HTML syntax validation passed for all files ✓ Python syntax validation passed for app.py ✓ No build errors introduced ✓ Script placement verified (before closing </body> tag) ✓ Non-blocking implementation (uses defer attribute) ## Next Steps for User To complete the Speed Insights setup: 1. **Enable in Vercel Dashboard:** - Log in to your Vercel dashboard - Navigate to your project settings - Go to the "Speed Insights" section - Click "Enable Speed Insights" 2. **Deploy to Vercel:** - Commit and push these changes to your repository - Vercel will automatically deploy the updated code - The `/_vercel/speed-insights/script.js` endpoint will be activated 3. **View Performance Data:** - After deployment and some user visits, performance data will appear in your Vercel dashboard - Navigate to Speed Insights section to view metrics - Data typically requires several days of traffic to show meaningful insights ## Important Notes - **No npm package required:** Since this is a Flask app with vanilla HTML, no Node.js dependencies were added - **Production only:** Speed Insights only tracks data in production (not in development mode) - **Lightweight:** The script uses the defer attribute and queuing mechanism to avoid blocking page rendering - **Automatic:** Once enabled in the dashboard and deployed, tracking happens automatically - **Framework-agnostic:** The vanilla JavaScript approach works with any backend framework ## Implementation Approach Based on the official Vercel documentation and real-world examples, I used the static HTML integration method which: - Requires no build tools or npm packages - Works perfectly with Flask's template system - Is non-intrusive and doesn't modify existing functionality - Follows Vercel's recommended practices for non-framework projects All changes preserve the existing code structure and only add the necessary Speed Insights tracking functionality. Co-authored-by: Vercel <vercel[bot]@users.noreply.github.com>
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Vercel Speed Insights Configuration Report
Summary
Successfully installed and configured Vercel Speed Insights for this Flask application following the official Vercel documentation.
What Was Implemented
1. Documentation Review
2. Project Analysis
This is a Flask-based web application with:
3. Implementation Details
Added Vercel Speed Insights tracking scripts to all 8 HTML template files:
Each file now includes the following scripts just before the closing
</body>tag:4. How It Works
First Script (Queue Initialization):
window.sithat queues Speed Insights callsSecond Script (Tracking Module):
/_vercel/speed-insights/script.jsdeferattribute to load asynchronously without blocking page rendering5. What Will Be Tracked
Once deployed to Vercel and enabled in the dashboard, Speed Insights will automatically track:
6. Verification Performed
✓ All 8 HTML files successfully modified
✓ HTML syntax validation passed for all files
✓ Python syntax validation passed for app.py
✓ No build errors introduced
✓ Script placement verified (before closing tag)
✓ Non-blocking implementation (uses defer attribute)
Next Steps for User
To complete the Speed Insights setup:
Enable in Vercel Dashboard:
Deploy to Vercel:
/_vercel/speed-insights/script.jsendpoint will be activatedView Performance Data:
Important Notes
Implementation Approach
Based on the official Vercel documentation and real-world examples, I used the static HTML integration method which:
All changes preserve the existing code structure and only add the necessary Speed Insights tracking functionality.
View Project · Speed Insights
Created by soham7998 with Vercel Agent