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
