SpeedCurve Technology Intelligence

What is SpeedCurve?

SpeedCurve is a web performance monitoring and optimization platform that helps organizations understand and improve their website speed. The platform combines synthetic monitoring, real user monitoring (RUM), and competitive benchmarking to provide comprehensive insights into web performance. SpeedCurve focuses on connecting performance metrics to business outcomes, helping teams prioritize optimization efforts.

The platform's synthetic monitoring runs automated tests from global locations on a schedule. Page load times, Core Web Vitals, and detailed performance metrics are captured consistently. Performance filmstrips show visual rendering progress. Waterfall charts reveal resource loading sequences. Synthetic testing provides controlled, reproducible performance measurements.

Real User Monitoring captures actual visitor experiences in production. Performance data from real browsers and devices shows what users actually experience. Geographic distribution reveals performance variations by region. Device and browser breakdowns identify platform-specific issues. RUM validates that synthetic improvements translate to real-world gains.

SpeedCurve's competitive benchmarking compares performance against competitors. Side-by-side comparisons show where sites lead or lag. Industry benchmarks contextualize performance levels. Competitive intelligence motivates and prioritizes optimization. Performance becomes a measurable competitive advantage.

Detection of SpeedCurve on a website indicates serious commitment to web performance. Organizations using SpeedCurve invest in understanding and improving user experience through speed. The presence suggests data-driven performance optimization practices.

SpeedCurve Platform Features

Synthetic Monitoring: Automated testing from global locations provides consistent metrics. Tests run on schedule for trend tracking. Multiple browsers and device emulation available. WebPageTest integration provides detailed data. Synthetic monitoring establishes performance baselines.

Real User Monitoring: JavaScript library captures actual visitor experiences. Core Web Vitals measured from real users. Custom metrics track business-specific performance. RUM validates synthetic monitoring findings. Real-world performance data guides optimization.

Core Web Vitals: LCP, FID/INP, and CLS tracking built in. Both synthetic and RUM data for Core Web Vitals. SEO impact of performance visible. Google's performance standards monitored continuously.

Performance Budgets: Set thresholds for acceptable performance levels. Alerts trigger when budgets exceeded. Budget tracking over time shows trends. CI/CD integration blocks deployments exceeding budgets. Budgets prevent performance regression.

Filmstrip and Waterfall: Visual rendering progress captured frame by frame. Waterfall charts show resource loading sequences. Third-party impact clearly visible. Optimization opportunities identified visually.

Competitive Benchmarking: Monitor competitor site performance. Side-by-side comparison dashboards. Industry benchmark context. Competitive intelligence drives improvement.

Custom Metrics: Track application-specific performance markers. User timing API integration. Business-relevant metrics defined. Performance connected to user experience moments.

SpeedCurve Use Cases

E-commerce Optimization: Online stores depend on speed for conversion. SpeedCurve tracks performance across product and checkout pages. Mobile performance optimization improves mobile conversion. Third-party script impact measured and managed. Speed improvements directly increase revenue.

Media and Publishing: Content sites need fast page loads for advertising revenue. Ad impact on performance measured clearly. Content versus advertising performance balanced. Reader experience optimization increases engagement.

SEO Performance: Core Web Vitals affect search rankings. SpeedCurve tracks the metrics Google measures. Performance improvements benefit organic traffic. SEO and performance teams align on priorities.

Third-Party Management: Scripts from vendors affect site performance. SpeedCurve identifies third-party impact specifically. Tag manager overhead measured. Vendor accountability supported by data. Third-party performance becomes manageable.

Performance Culture: Organizations building performance-focused teams use SpeedCurve for visibility. Dashboards make performance visible across teams. Performance budgets create accountability. Competitive benchmarks motivate improvement.

Deployment Validation: CI/CD integration catches performance regressions. Pre-production testing validates changes. Performance budgets gate deployments. Release confidence increases with performance testing.

SpeedCurve Integration Examples

RUM Installation

<!-- SpeedCurve RUM snippet -->
<script>
    LUX=(function(){var a=("undefined"!==typeof(LUX)&&"undefined"!==typeof(LUX.ga498))?LUX:
    {n:Date.now()||+new Date(),ns:[]};a.ns.push(Date.now()||+new Date());
    return a})();
    LUX.samplerate=100; // Sample 100% of users
    LUX.auto=true;
</script>
<script async src="https://cdn.speedcurve.com/js/lux.js?id=YOUR_ID"></script>

Custom Metrics

// Track custom timing metrics
// Mark the start of an operation
LUX.mark('hero-image-start');

// Mark completion and measure
heroImage.onload = function() {
    LUX.mark('hero-image-end');
    LUX.measure('hero-image-load', 'hero-image-start', 'hero-image-end');
};

// Track user interaction timing
document.querySelector('.buy-button').addEventListener('click', function() {
    LUX.mark('buy-clicked');
});

// Custom metric for time to interactive content
LUX.measure('time-to-content', 'navigationStart', 'content-visible');

Performance Budget Configuration

// SpeedCurve API for budget status
const axios = require('axios');

const checkBudgetStatus = async () => {
    const response = await axios.get(
        'https://api.speedcurve.com/v1/budgets',
        {
            auth: {
                username: API_KEY,
                password: 'x'
            }
        }
    );

    return response.data.budgets.filter(b => b.status === 'over');
};

// CI/CD integration
const failBuildOnBudgetViolation = async () => {
    const violations = await checkBudgetStatus();
    if (violations.length > 0) {
        console.error('Performance budget exceeded:');
        violations.forEach(v => {
            console.error(`${v.metric}: ${v.value} (budget: ${v.budget})`);
        });
        process.exit(1);
    }
};

Synthetic Test Triggering

// Trigger synthetic test via API
const triggerTest = async (urlId) => {
    const response = await axios.post(
        `https://api.speedcurve.com/v1/deploys`,
        {
            site_id: SITE_ID,
            note: 'Triggered by CI/CD pipeline',
            detail: `Build: ${process.env.BUILD_NUMBER}`
        },
        {
            auth: {
                username: API_KEY,
                password: 'x'
            }
        }
    );
    return response.data;
};

// Post-deploy performance verification
afterDeploy(async () => {
    await triggerTest(PRODUCTION_URL_ID);
    console.log('Performance test triggered');
});

Retrieving Performance Data

// Get recent synthetic test results
const getRecentTests = async (days = 7) => {
    const response = await axios.get(
        'https://api.speedcurve.com/v1/tests',
        {
            params: {
                days: days,
                url_id: URL_ID
            },
            auth: {
                username: API_KEY,
                password: 'x'
            }
        }
    );
    return response.data.tests;
};

// Get Core Web Vitals from RUM
const getCoreWebVitals = async (days = 30) => {
    const response = await axios.get(
        'https://api.speedcurve.com/v1/rum',
        {
            params: {
                site_id: SITE_ID,
                days: days,
                metrics: 'lcp,fid,cls'
            },
            auth: {
                username: API_KEY,
                password: 'x'
            }
        }
    );
    return response.data;
};

Why Teams Choose SpeedCurve

Complete Picture: Synthetic and RUM data combined provide comprehensive understanding. Controlled testing establishes baselines. Real user data validates improvements. Both perspectives needed for effective optimization.

Business Focus: Performance connected to business outcomes. Conversion impact of speed visible. Revenue implications of performance clear. Business cases for optimization supported by data.

Core Web Vitals: Google's ranking factors tracked comprehensively. SEO impact of performance visible. Both lab and field data available. CWV optimization becomes manageable.

Competitive Context: Performance relative to competitors measured. Benchmarking motivates improvement. Competitive advantage quantified. Industry context for performance levels.

Visual Analysis: Filmstrips show rendering progress clearly. Waterfall charts reveal optimization opportunities. Visual tools communicate issues effectively. Non-technical stakeholders understand performance visually.

Workflow Integration: CI/CD integration catches regressions early. Performance budgets prevent degradation. Alerting notifies of issues. Performance fits into development workflows.

Expert Design: Built by web performance experts. Best practices embedded in the product. Industry leadership in performance measurement. Expertise informs feature development.