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Java EE 7 Performance Tuning and Optimization

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By Osama Oransa
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  1. Getting Started with Performance Tuning
    • Getting Started with Performance Tuning
    • Understanding the art of performance tuning
    • Understanding performance issues
    • Standalone applications versus web applications
    • Dealing with web applications' performance tuning
    • Summary
    • Understanding Java Fundamentals
    • Discussing the new Java EE 7 features
    • Understanding memory structure in the JVM
    • Understanding the Java garbage collection policies
    • Different application scopes
    • Understanding concurrency in Java
    • Using the Java concurrency utilities
    • The important Java EE concurrency features
    • More information about Java EE 7
    • Summary
    • Getting Familiar with Performance Testing
    • Dissecting performance testing
    • Performance testing terminologies
    • Performance testing in a cloud environment
    • Starting with Apache JMeter
    • Testing with JMeter
    • Summary
    • Monitoring Java Applications
    • Exploring the Java monitoring tools
    • Understanding the profiling tools
    • Understanding the different JDK tools
    • Starting with the NetBeans profiler
    • The Eclipse tools/plugins
    • Advanced profiler – JProfiler
    • Using the offline profiling mode
    • Summary
    • Recognizing Common Performance Issues
    • Going through a slow response time umbrella
    • Threading performance issues
    • Memory performance issues
    • Work as designed performance issues
    • Selected performance issues
    • Client-side performance issues
    • Summary
    • CPU Time Profiling
    • When to use CPU profiling
    • Different CPU profiling options
    • Reading and interpreting CPU profiling results
    • Analyzing the method time versus the method invocation count
    • Identifying potential performance issues
    • Fixing algorithmic/logic performance
    • Our first performance fixing strategy
    • Summary
    • Thread Profiling
    • Determining when to use thread profiling
    • Exploring the different thread profiling options
    • Reading the thread profiling results
    • Dealing with thread dumps
    • Reading and analyzing the thread dumps
    • Exploring potential threading issues
    • Enhancing our fixing strategy
    • Summary
    • Memory Profiling
    • When to use memory profiling?
    • Different memory profiling options
    • Analyzing memory profiling results
    • Dealing with memory heap dumps
    • Analyzing the heap dump
    • Potential memory performance issues
    • Adding memory performance issues to our fixing strategy
    • Summary
    • Tuning an Application's Environment
    • Understanding environment tuning
    • Tuning the JVM
    • Tuning application servers
    • Tuning web servers (HTTP servers)
    • Tuning the operating system and hardware
    • Summary
    • Designing High-performance Enterprise Applications
    • Potential performance impact of different design decisions
    • Avoiding performance anti-patterns
    • Performance aspects of Service Oriented Architecture (SOA)
    • Performance aspects of Resource Oriented Architecture (ROA)
    • Dissecting performance aspects of data caching
    • Performance considerations in cloud deployment
    • Summary
    • Performance Tuning Tips
    • Performance and development processes
    • Java EE performance tuning tips
    • Java performance tuning tips
    • Using the javap tool to understand micro-optimizations
    • Database performance tuning tips
    • Client-side optimization
    • Summary
    • Tuning a Sample Application
    • Reaching our final destination
    • Setting up the ExcellentSurvey application
    • Functional overview of the ExcellentSurvey application
    • ExcellentSurvey performance assessment
    • Performance investigation plan
    • Profiling our ExcellentSurvey application
    • Profiling performance findings
    • ExcellentSurvey issues and possible resolutions
    • Performance code review
    • Testing the application after our fixes
    • Result and conclusion
    • Summary
Java EE 7 Performance Tuning and Optimization
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