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10 Modules / ~100 pages
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~25 Modules / ~400 pages
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Performance Analysis Tools and Techniques
( 25 Modules )

Module #1
Introduction to Performance Analysis
Overview of performance analysis, its importance, and benefits in software development
Module #2
Performance Metrics and KPIs
Understanding key performance metrics and KPIs used in performance analysis
Module #3
Types of Performance Analysis
Classification of performance analysis into different types (e.g., load testing, stress testing, soak testing)
Module #4
Performance Analysis Methodologies
Overview of performance analysis methodologies (e.g., Waterfall, Agile, DevOps)
Module #5
Introduction to Profiling Tools
Overview of profiling tools and their role in performance analysis
Module #6
CPU Profiling
Using CPU profiling tools to identify performance bottlenecks
Module #7
Memory Profiling
Using memory profiling tools to identify memory leaks and optimize memory usage
Module #8
Disk I/O Profiling
Using disk I/O profiling tools to optimize disk I/O operations
Module #9
Network Profiling
Using network profiling tools to optimize network I/O operations
Module #10
Introduction to APM Tools
Overview of Application Performance Management (APM) tools
Module #11
New Relic Fundamentals
Hands-on with New Relic APM tool
Module #12
AppDynamics Fundamentals
Hands-on with AppDynamics APM tool
Module #13
Datadog Fundamentals
Hands-on with Datadog APM tool
Module #14
Introduction to Load Testing Tools
Overview of load testing tools and their role in performance analysis
Module #15
JMeter Fundamentals
Hands-on with JMeter load testing tool
Module #16
Gatling Fundamentals
Hands-on with Gatling load testing tool
Module #17
Locust Fundamentals
Hands-on with Locust load testing tool
Module #18
Performance Analysis for Web Applications
Best practices for performance analysis in web application development
Module #19
Performance Analysis for Mobile Applications
Best practices for performance analysis in mobile application development
Module #20
Performance Analysis for Cloud-Native Applications
Best practices for performance analysis in cloud-native application development
Module #21
Performance Analysis for Microservices
Best practices for performance analysis in microservices architecture
Module #22
Performance Analysis for Big Data and Analytics
Best practices for performance analysis in big data and analytics
Module #23
Performance Analysis for Containerized Applications
Best practices for performance analysis in containerized application development
Module #24
Advanced Topics in Performance Analysis
Exploring advanced topics in performance analysis, such as machine learning and AI
Module #25
Course Wrap-Up & Conclusion
Planning next steps in Performance Analysis Tools and Techniques career


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