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Computer Science
Web Development
Web Performance Optimization
1. Introduction to Web Performance
2. Core Performance Metrics and Measurement
3. The Critical Rendering Path
4. Network and Delivery Optimization
5. Asset Optimization
6. Caching Strategies
7. Rendering and Interactivity Optimization
8. Server-Side and Architectural Optimization
9. Performance Monitoring and Continuous Improvement
Core Performance Metrics and Measurement
Understanding Key Metrics
Time to First Byte (TTFB)
Server Processing Time
Network Latency Components
DNS Resolution Time
Connection Establishment
SSL Negotiation
First Contentful Paint (FCP)
Definition and Importance
Visual Feedback to Users
Factors Affecting FCP
Largest Contentful Paint (LCP)
Definition and Measurement
Identifying LCP Elements
Common LCP Elements
Optimizing LCP Performance
First Input Delay (FID)
Definition and Context
Measuring Input Latency
Causes of High FID
Main Thread Blocking
Interaction to Next Paint (INP)
Definition as FID Successor
Measuring Responsiveness
Event Processing Time
Rendering Delays
Cumulative Layout Shift (CLS)
Definition and Impact
Layout Shift Score Calculation
Causes of Layout Shifts
Preventing Layout Instability
Speed Index
Visual Progress Measurement
Calculation Methodology
Use Cases and Limitations
Total Blocking Time (TBT)
Main Thread Blocking Measurement
Relationship to FID
Time to Interactive (TTI)
Full Interactivity Measurement
Factors Affecting TTI
Google's Core Web Vitals
Overview and Importance
Largest Contentful Paint (LCP)
Good vs Poor Thresholds
Optimization Strategies
First Input Delay (FID) and Interaction to Next Paint (INP)
Measurement Differences
Threshold Values
Improvement Techniques
Cumulative Layout Shift (CLS)
Scoring System
Prevention Methods
Evolution and Updates
Historical Changes
Future Considerations
Types of Performance Data
Lab Data (Synthetic Monitoring)
Controlled Environment Testing
Use Cases and Benefits
Limitations and Considerations
Repeatability and Consistency
Field Data (Real User Monitoring)
Real-World Performance Measurement
Collecting RUM Data
Interpreting Field Data
Variability and Statistical Significance
Combining Lab and Field Data
Complementary Insights
Data Correlation Techniques
Performance Analysis Tools
Browser Developer Tools
Chrome DevTools Performance Tab
Network Tab Analysis
Lighthouse Integration
Memory and CPU Profiling
Lighthouse
Audit Categories
Performance Score Calculation
Opportunities and Diagnostics
CI/CD Integration
WebPageTest
Test Configuration Options
Waterfall Chart Analysis
Filmstrip View
Advanced Testing Features
Google PageSpeed Insights
Field vs Lab Data Presentation
Core Web Vitals Reporting
Optimization Suggestions
GTmetrix
Performance Reports
Recommendations Analysis
Historical Tracking
Chrome User Experience Report (CrUX)
Real User Data Access
API Usage
BigQuery Integration
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1. Introduction to Web Performance
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3. The Critical Rendering Path