Performance Tuning for Large-Scale Systems
( 25 Modules )

Module #1
Introduction to Performance Tuning
Overview of performance tuning, importance, and goals

Module #2
System Performance Fundamentals
Understanding system performance metrics, bottlenecks, and optimization techniques

Module #3
Performance Measurement and Monitoring
Tools and techniques for measuring and monitoring system performance

Module #4
Identifying Performance Bottlenecks
Methods for identifying performance bottlenecks in large-scale systems

Module #5
CPU Performance Optimization
Optimizing CPU usage, caching, and parallel processing

Module #6
Memory Optimization Techniques
Optimizing memory usage, caching, and garbage collection

Module #7
Disk I/O Optimization
Optimizing disk I/O, caching, and storage architectures

Module #8
Network Performance Optimization
Optimizing network performance, latency, and throughput

Module #9
Database Performance Tuning
Optimizing database performance, indexing, and query optimization

Module #10
Cloud and Distributed Systems Performance
Performance considerations for cloud and distributed systems

Module #11
Containerization and Orchestration Performance
Performance considerations for containerization and orchestration

Module #12
Microservice Architecture Performance
Performance considerations for microservice architecture

Module #13
Load Balancing and Scaling
Load balancing and scaling techniques for large-scale systems

Module #14
Caching and Content Delivery Networks
Caching and content delivery networks for performance optimization

Module #15
Performance Modeling and Simulation
Modeling and simulating performance for large-scale systems

Module #16
Performance Testing and Benchmarking
Performance testing and benchmarking techniques for large-scale systems

Module #17
Troubleshooting Performance Issues
Methodologies and tools for troubleshooting performance issues

Module #18
Performance Optimization for Specific Use Cases
Optimizing performance for specific use cases (e.g. real-time systems, big data)

Module #19
Security and Performance Trade-Offs
Balancing security and performance in large-scale systems

Module #20
Performance Tuning for DevOps and Agile Teams
Integrating performance tuning into DevOps and agile development practices

Module #21
Performance Monitoring and Visualization
Tools and techniques for visualizing and monitoring performance

Module #22
Performance Optimization for Multi-Tenant Systems
Optimizing performance for multi-tenant systems and cloud providers

Module #23
Performance Tuning for IoT and Edge Computing
Optimizing performance for IoT and edge computing systems

Module #24
Best Practices and Anti-Patterns
Best practices and common mistakes to avoid in performance tuning

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Performance Tuning for Large-Scale Systems career

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