Fundamentals of Software Performance
Big-O notation: time complexity
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Implementing a contacts management application
Implementing a sort checker application
Big-O notation: space complexity
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Finding the max value in an array
Implementing a social network
Efficient data structures: Sets & Maps
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Implementing a duplicate transaction finder
Implementing a text analysis application
Measuring Code Performance
Understanding performance bottlenecks
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Measuring operation time
Comparing search algorithm performance
Understanding JVM Memory Architecture
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Implementing memory-efficient string processing
Performance metrics and measurement
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Tracking memory usage
Analyzing CPU time
Garbage collection & Just-In-Time (JIT) compilation
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Optimizing a financial analysis application
Improving Code Performance
Basic multi-threading principles
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Creating parallel threads for processing
Optimizing image processing with parallel streams
Advanced threading patterns
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Implementing a thread pool for batch processing
Implementing an asynchronous data processing pipeline
Caching strategies
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Implementing an LRU cache
Lazy initialization and singleton patterns
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Implementing lazy initialization
Implementing the Singleton pattern
Wrap-up
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