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PERFORMANCE ANALYSIS#1

The process of assessing a web application's efficiency, speed, and responsiveness using various metrics and tools.

PROFILING TECHNIQUES#2

Methods used to analyze the performance of applications, identifying bottlenecks and areas for improvement.

THIRD-PARTY SCRIPTS#3

External scripts integrated into a web application, which can impact performance and user experience.

PERFORMANCE BUDGETS#4

Set limits on resource usage for web applications to ensure optimal performance and meet business goals.

USER BEHAVIOR ANALYTICS#5

The study of how users interact with web applications, providing insights for performance optimization.

CHROME DEVTOOLS#6

A set of web developer tools built directly into Google Chrome for debugging and optimizing web applications.

CONTENT OPTIMIZATION#7

Techniques to enhance the delivery and rendering of content, improving load times and user experience.

NETWORK ANALYSIS#8

Evaluating the performance of network requests made by a web application to identify latency and bottlenecks.

JAVASCRIPT PROFILING#9

Analyzing JavaScript execution times to identify slow scripts that may hinder application performance.

SCRIPT LOADING STRATEGIES#10

Methods for managing the loading of scripts to minimize their impact on performance.

OPTIMIZATION STRATEGIES#11

A comprehensive approach to enhance the performance of web applications through various techniques.

USER PERSONAS#12

Fictional characters representing user segments, helping to tailor performance strategies to real user needs.

CONTENT DELIVERY NETWORK (CDN)#13

A system of distributed servers that deliver web content to users based on their geographic location.

INITIAL PERFORMANCE TESTS#14

Baseline tests conducted to assess the current performance of a web application before optimizations.

PERFORMANCE METRICS#15

Quantifiable measures used to evaluate the performance of web applications, such as load time and response time.

DOCUMENTATION#16

Written records outlining analysis findings, strategies, and recommendations for performance optimization.

SYNTHESIZING STRATEGIES#17

Combining insights from various analyses to create a cohesive performance optimization plan.

IMPLEMENTATION TIMELINE#18

A schedule outlining when and how performance optimization strategies will be executed.

USER INTERACTION DATA#19

Data collected on how users engage with a web application, used to inform performance decisions.

ANALYZING CORRELATIONS#20

Examining relationships between performance metrics and user behavior to guide optimization efforts.

REFLECTIONS AND CHECKPOINTS#21

Self-assessment tools for students to evaluate their understanding and application of learned concepts.

COMPREHENSIVE REPORT#22

A detailed document summarizing analysis findings, profiling techniques, and optimization recommendations.

STAKEHOLDER PRESENTATION#23

A formal presentation of findings and recommendations to key individuals involved in the project.

LOAD TIME#24

The duration it takes for a web application to fully display its content to users.

BOTTLE NECK#25

A point in the application where performance is significantly slowed down, hindering overall efficiency.