Optimize Svelte Apps with Sveltick Performance Tracker

Sveltick is a lightweight performance-tracking library for Svelte applications.

It provides a simple way to monitor key performance metrics, identify bottlenecks, and ultimately enhance the user experience.

Features

Use Cases

• Optimizing Component Render Times: Identify slow-rendering components within a complex Svelte application and optimize their logic or structure to reduce render times. For example, if a data grid component is rendering slowly, Sveltick can help pinpoint the issue and enable targeted optimization efforts.
• Improving Initial Load Performance: Track FCP, LCP, and TTFB to identify opportunities to improve the initial loading experience for users. This might involve optimizing images, reducing JavaScript bundle sizes, or improving server response times.
• Monitoring Real-User Performance: Deploy Sveltick in production to gather real-world performance data. This data can reveal how users experience your application in different environments and network conditions, enabling targeted improvements.
• A/B Testing Performance Optimizations: Use Sveltick to compare the performance of different versions of your Svelte application or components, providing data-driven insights to support A/B testing efforts.
• Continuous Performance Monitoring: Integrate Sveltick into your CI/CD pipeline to continuously track performance metrics and identify regressions early in the development process.

Installation Guide

Install Sveltick using npm or yarn:

npm install sveltick
// or
yarn add sveltick

Usage Guide

1. Import Sveltick in your Svelte app:

import { onMount } from 'svelte';
import { runPerformanceTracker } from 'sveltick';
onMount(() => {
  runPerformanceTracker({
    trackMetrics: true,
    showAlerts: true,
    enableGamification: true,
    thresholds: {
      fcp: 1800,
      lcp: 2300,
      tti: 2800,
      cls: 0.15,
      fid: 100,
      inp: 200,
      ttfb: 800,
      componentRenderTime: 400
    }
  });
});

2. Track specific metrics:

import { onMount } from 'svelte';
import {
  trackFirstContentfulPaint,
  trackTimeToInteractive,
  trackLargestContentfulPaint,
  trackCumulativeLayoutShift,
  trackFirstInputDelay,
  trackInteractionToNextPaint,
  trackTimeToFirstByte
} from 'sveltick';
onMount(async () => {
  const fcp = await trackFirstContentfulPaint();
  const tti = await trackTimeToInteractive();
  const lcp = await trackLargestContentfulPaint();
  const cls = await trackCumulativeLayoutShift();
  const fid = await trackFirstInputDelay();
  const inp = await trackInteractionToNextPaint();
  const ttfb = await trackTimeToFirstByte();
  console.log(fcp, tti, lcp, cls, fid, inp, ttfb);
});

3. Track component render times:

import { onMount } from 'svelte';
import { trackComponentRender } from 'sveltick';
onMount(() => {
  const now = performance.now();
  const { name, renderTime } = trackComponentRender('YourComponent', now);
  console.log(name, renderTime);
});

4. Access performance metrics:

import { onMount } from 'svelte';
import { getPerformanceMetrics } from 'sveltick';
onMount(async () => {
  const metrics = await getPerformanceMetrics();
  console.log(metrics);
});

5. Check for performance alerts:

import { onMount } from 'svelte';
import { checkPerformanceAlerts } from 'sveltick';
onMount(() => {
  checkPerformanceAlerts({
    fcp: 1800,
    lcp: 2300,
    tti: 2800,
    cls: 0.15,
    fid: 100,
    inp: 200,
    ttfb: 800,
    componentRenderTime: 400
  });
});

6. Run gamification:

import { onMount } from 'svelte';
import { runGamification } from 'sveltick';
onMount(() => {
  runGamification();
});

Related Resources

• Svelte Official Documentation: https://svelte.dev/ – The official documentation for Svelte.
• Lighthouse: https://developer.chrome.com/docs/lighthouse/ – An open-source, automated tool for improving the quality of web pages, including performance audits.
• WebPageTest: https://www.webpagetest.org/ – A web performance testing tool that provides detailed performance metrics and waterfall charts.

Preview