Java Application Performance Tuning and Memory Management

In this course we’ll understand what can cause performance issues in our applications, and how to resolve them. This includes a review of some of the options available to us as developers at design-time – how to make good coding choices for optimal performance. For example, when should you pick an ArrayList over a LinkedList? How much difference does the StringBuilder really make? Is Lambda syntax more or less efficient at certain operations? We’ll also learn about various ways that we can configure the virtual machine to provide better performance at run-time, with a range of runtime arguments. We’ll also be diving deep into how the virtual machine manages memory, and how the garbage collection process works and impacts on application performance.

Along the way we’ll be learning about the Just In Time compiler, performance testing and benchmarking, decompiling bytecode, using the GraalVM as an alternative virtual machine and more.

About Java Versions: This is the second iteration of this course and it is designed for all the current versions of Java that have long term support (Java 8 , Java 11 and Java 17). You can follow along with any of these versions. You can also use either the Oracle or the OpenJDK JVMs. For developers using other JVM languages (such as Kotlin, Scala and Groovy) all of the JVM configuration parts of this course will still be relevant, and some of the coding choices may be useful to consider also. (Note that there’s even a review of whether Kotlin provides better or worse performance than Java!)

Chapter 2 - Just In Time Compilation and the Code Cache

Chapter 3 - Selecting the JVM

Chapter 4 - How memory works - the stack and the heap

Chapter 5 - Passing objects between methods

Chapter 6 - Memory exercise 1

Chapter 7 - Escaping References

Chapter 8 - Memory Exercise 2

Chapter 9 - The Metaspace and internal JVM memory optimisations

Chapter 10 - Tuning the JVM's Memory Settings

Chapter 11 - Introducing Garbage Collection

Chapter 12 - Monitoring the Heap

Chapter 13 - Analysing a heap dump

Chapter 14 - Generational Garbage Collection

Chapter 15 - Garbage Collector tuning & selection

Chapter 16 - Using a profiler to analyse application performance

Chapter 17 - Assessing Performance

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!

4.6

4328 reviews

Please, login to leave a review

Stars 5

2528

Stars 4

1457

Stars 3

278

Stars 2

Stars 1