Java 8 Peformance and Tuning (TT3110-J8)

1. Writing High Performance Applications

• Memory Management Issues
• CPU Performance Issues
• Threading Issues
• Profiling and Benchmarking
• Java Microbenching Harness (JMH)
• Code Optimization Techniques
• Design Optimization Techniques

2. Effective Java

• Creating and Destroying Objects
• Factory Methods
• Impact of Finalizers
• Classes and Interfaces
• Immutability
• Composition vs. Inheritance
• Exceptions
• Threading Constructs to Avoid

3. Data Structures

• Efficient Strings and Arrays
• Efficient Use of Collections
• Choosing a Collection
• Tuning Collection Constructors

4. Performance and Java 8

• Performance Across Java Versions
• Impact of Java 8 Concurrency Updates
• Tiered Compilation
• Nashorn versus Java 7's JavaScript Engine
• Lambda Expressions versus Inner Classes
• Impact of Streams versus Collections
• Date/Time Classes
• I/O Stream Recommendations
• Encoding/Decoding
• Strings and Spring Interning

• Metrics for measuring software performance
• Effect of OO design on software performance
• Types of benchmarks and the criteria that should be considered when constructing a benchmark plan
• Explore the most useful targets for profiling, and the most common tools/techniques for profiling
• Two strategies for improving performance as a result of profiling data
• Five most common problem areas for good performance with Java
• Use the JDK to collect runtime profiling data
• Read the profiling data generated by the JDK to detect performance bottlenecks
• Instrument your own code to collect method execution time data
• Learn code optimization techniques relating to object management, exceptions, threads, and serialization
• JVM Architecture from the perspective of performance
• Work with Java language features that can impact performance
• Optimizing data structures in Java
• Choose the correct collection for the task
• Leverage the built in collections algorithms to enhance your code performance and security
• Examine the many Java 8 features to understand their impact on performance

This course is about 50% hands-on lab and 50% lecture. Throughout the course, students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, comprehensive hands-on lab exercises, and lab review. Multiple detailed lab exercises are laced throughout the course, designed to reinforce fundamental skills and concepts learned in the lessons. At the end of each lesson, developers will be tested wit ha set of review questions to ensure that he/she has fully understands that topic.

• At least six months of prior hands-on development experience working with Java is recommended

Experienced Java developers who want to take their core Java skills and bring them to an advanced level.