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The Java Performance Tuning Course

Format: Instructor-Led Classroom
Other Formats:
 
 

In our Java Performance Tuning Course, you will learn a blend of tuning methodology, performance theory and practical tips on solving difficult performance problems. You will have an opportunity to hone your skills on a series of labs that are derived from real problems found during our consulting experience. The tools are all freely available or open source and will equip you to immediately apply what you have learned in your workplace. An unparalleled Java Learning Experience for the Java Professional.
 
ExitCertified is bringing renown Java Champion Kirk Pepperdine from Europe to deliver the Java Performance Tuning Course to North America.
 
Multi-Student Discount
Maximize your Java Development across your team
 
US Special: $3,500 one student | $2,950 per student with two or more
 


Java Performance Course - Training
 
 
 

Skills Gained
 

  • how to apply rigor to the task of performance tuning

  • how to setup a performance tuning environment

  • importance of the user experience

 

  • tools needed to conduct a performance investigation

  • benchmarking and micro-benchmarking

  • Java memory and execution models

Who Can Benefit
 

  • Java developers and Quality Assurance engineers

 

    Prerequisites
     

    • Intermediate level knowledge of Java Standard Edition (JSE) versions 1.6 and beyond. Familiarity with the Java Enterprise Edition (JEE)

    		 
       
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      Training Class Enrollment
      Code: JAVA-PERFORMANCE
      Format: Instructor-Led Classroom
      Length: 4 days
      Certified By: Specialized
      Tuition (USD): $3,500
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      The Java Performance Tuning Course Content Details
       
       
      Section 1 - Introduction
        • defining performance
        • identifying causes of poor performance
        • introduction to aspects of performance tuning
      Section 2 - Performance Tuning Methodology
        • introduction to “The Box”, an abstraction of a computer system
        • hardware’s role in performance
        • JVM and operating systems role in performance applications role in performance
        • actors role in performance
        • activities as defined by the layers in “The Box”
        • performance testing workflow
        • using the dominate consumer to identify bottlenecks
        • role of hardware
        • role of JVM/OS role of application
        • no dominating consumer
        • role of tooling
      Section 3 - Time
        • responsiveness
        • how to measure time
        • logging to monitor performance
        • common performance problems
      Section 4 - Day 2 Memory
        • System level monitoring
        • Memory management
        • Garbage collection algorithms
        • Heap tuning
      Section 5 - Performance Testing
        • objectives
        • types
        • components
        • differences between closed and open test harnesses
        • performance testing environment performance testing pitfalls
        • performance testing goals
        • GUI testing
        • web based performance testing
        • introduction to Apache JMeter
        • test doubles for performance
      Section 6 - Monitoring Hardware
        • important components of hardware to monitor
        • hardware monitoring tools for CLM
        • Unix/Linux monitoring
        • introduction to vmstat
        • case studies of how different performance problems show up in vmstat
        • relating vmstat output to application code
        • Windows monitoring
      Section 7 - Java Memory Management
        • process organization
        • JVM heap organization (Sun and IBM)
        • reference counting
        • tracing collectors
        • hemispheric collectors
        • generational collectors
        • parallel and concurrent collectors
        • G1 collector
        • GC ergonomics
        • effects of OS and hardware on GC
        • escape analysis
        • Non-Uniform Memory Access (NUMA)
        • switches affecting JVM memory management
      Section 8 - Object Life-cycles
        • some terminology
        • finialization
        • reference objects and collection rules
        • soft
        • weak
        • phantom
        • ReferenceQueue
        • WeakHashMap
      		 
      Section 9 - Monitoring Garbage Collection
        • JVM flags for monitoring GC (Sun, IBM)
        • GC log record format
        • Secondary information hidden in GC logs
        • GC sequential overhead
        • GCViewer
        • HPJMeter
      Section 10 - Interprocess communications
        • RMI tracing
        • socket tracing
        • JDBC Monitoring
      Section 11 - Threading
        • Java support for threading
        • Synchronization explained
        • Synchronized statement and keyword
        • Producer consume with performance implications of choices
        • Little’s Law
        • reducing lock contention
        • Java 5 locking optimizations
      Section 12 - Java Management eXtentions
        • review of JMX based tools
        • Defining your own MBeans for performance monitoring
        • defining an mbean
        • adding attributes and operations
        • hooking an mbean into the notification framework
        • AttributeBundles
      Section 13 - Profilers
        • role of profiling
        • profiling techniques
        • JVMTI
        • types of profiling mapped to “The Box”
        • Execution profiling
        • memory profiling
        • thread profiling
        • prof
        • hprof
        • HPJMeter
        • NetBeans Profiler
        • when to use which profiler
        • effects of Object pooling
        • diagnosing memory problems
        • loitering object
        • leaking object
        • permspace leaks
      Section 14 - Performance Tactics
        • effects of human perception
        • tuning strategy
        • influences on performance
        • big gains quickly
        • latency
        • CPU bottlenecks
        • I/O bottlenecks
        • memory bottlenecks
        • garbage collection tactics
        • heap sizing
        • “The Box” as a profiling guide
      Section 15 - Benchmarking
        • introduction
        • sources of benchmarks
        • macro and microbenchmarks
        • dangers of benchmarking
        • accounting for interfering factors
        • a bad benchmark
        • developing a micro-benchmark
        • performance tuning a benchmark
        • role of statistics in benchmarking
        • benchmark validation
        • macro-benchmarking
        • test harness validation
        • importance of randomization
        • effects of queues
        • consistency
      Section 16 - Collections
        • coding style for custom implied collections
        • Review of standard 1.5 collection types
        • introduction to non-blocking collections
      Section 17 - Serialization
        • purpose and performance implications
        • review of serialization
        • optimizing serialization


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