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Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Profiling and Performance Analysis Tools
( 25 Modules )

Module #1
Introduction to Profiling and Performance Analysis
Overview of the importance of profiling and performance analysis in software development
Module #2
Types of Profiling
Explanation of different types of profiling, including CPU profiling, memory profiling, and I/O profiling
Module #3
Profiling Methodologies
Discussion of different profiling methodologies, including sampling, tracing, and instrumentation
Module #4
Introduction to Performance Analysis
Overview of performance analysis, including metrics and benchmarks
Module #5
CPU Profiling Tools
Hands-on introduction to CPU profiling tools, such as gprof and perf
Module #6
Memory Profiling Tools
Hands-on introduction to memory profiling tools, such as Valgrind and malloc debugger
Module #7
I/O Profiling Tools
Hands-on introduction to I/O profiling tools, such as sysdig and blktrace
Module #8
Profiling in Different Programming Languages
Discussion of profiling tools and techniques for different programming languages, including C, Java, and Python
Module #9
Profiling in Distributed Systems
Discussion of profiling tools and techniques for distributed systems, including Hadoop and Spark
Module #10
Profiling in Cloud Environments
Discussion of profiling tools and techniques for cloud environments, including AWS and Azure
Module #11
Performance Analysis Metrics
In-depth explanation of performance analysis metrics, including response time, throughput, and latency
Module #12
Benchmarks and Workloads
Discussion of benchmarks and workloads, including SPECint and TPC-C
Module #13
Performance Analysis Tools
Hands-on introduction to performance analysis tools, such as Sysdig and New Relic
Module #14
Analyzing Profiling Data
Tips and techniques for analyzing profiling data, including identifying bottlenecks and optimizing performance
Module #15
Profiling and Performance Analysis in Agile Development
Discussion of how to incorporate profiling and performance analysis into Agile development methodologies
Module #16
Profiling and Performance Analysis in DevOps
Discussion of how to incorporate profiling and performance analysis into DevOps pipelines
Module #17
Common Performance Bottlenecks
Discussion of common performance bottlenecks, including database queries and network I/O
Module #18
Optimizing Performance
Tips and techniques for optimizing performance, including caching, parallelization, and optimization of algorithms
Module #19
Profiling and Performance Analysis in Real-World Applications
Case studies of profiling and performance analysis in real-world applications, including e-commerce and fintech
Module #20
Advanced Profiling Techniques
Discussion of advanced profiling techniques, including asynchronous profiling and differential profiling
Module #21
Debugging and Profiling
Discussion of the relationship between debugging and profiling, including how to use profiling tools for debugging
Module #22
Profiling and Performance Analysis for Security
Discussion of how profiling and performance analysis can be used to identify security vulnerabilities
Module #23
Best Practices for Profiling and Performance Analysis
Discussion of best practices for profiling and performance analysis, including how to create effective profiling workflows
Module #24
Tools for Profiling and Performance Analysis
Overview of popular tools for profiling and performance analysis, including open-source and commercial options
Module #25
Course Wrap-Up & Conclusion
Planning next steps in Profiling and Performance Analysis Tools career


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