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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.