Book Image

Supercharge Your Applications with GraalVM

By : A B Vijay Kumar
Book Image

Supercharge Your Applications with GraalVM

By: A B Vijay Kumar

Overview of this book

GraalVM is a universal virtual machine that allows programmers to compile and run applications written in both JVM and non-JVM languages. It improves the performance and efficiency of applications, making it an ideal companion for cloud-native or microservices-based applications. This book is a hands-on guide, with step-by-step instructions on how to work with GraalVM. Starting with a quick introduction to the GraalVM architecture and how things work under the hood, you'll discover the performance benefits of running your Java applications on GraalVM. You'll then learn how to create native images and understand how AOT (ahead-of-time) can improve application performance significantly. The book covers examples of building polyglot applications that will help you explore the interoperability between languages running on the same VM. You'll also see how you can use the Truffle framework to implement any language of your choice to run optimally on GraalVM. By the end of this book, you'll not only have learned how GraalVM is beneficial in cloud-native and microservices development but also how to leverage its capabilities to create high-performing polyglot applications.
Table of Contents (17 chapters)
1
Section 1: The Evolution of JVM
4
Section 2: Getting Up and Running with GraalVM – Architecture and Implementation
8
Section 3: Polyglot with Graal
13
Section 4: Microservices with Graal

Summary

In this chapter, we went through Graal just-in-time and ahead-of-time compilers in detail. We took sample code and looked at how Graal JIT performs various optimizations. We also went through, in detail, how to understand Graal graphs. This is critical knowledge that will help in analyzing and identifying optimizations that we can do during development, to speed up Graal JIT compilation at runtime.

The chapter provided detailed instructions on how to build native images, and how to optimize native images using profile-guided optimization. We took sample code and compiled native image, and also found out how a native image works internally. We identified code issues that might cause native images to run slower than just-in-time compilers. We also covered the limitations of native images, and when to use native images. We explored various build time and runtime configurations to optimize a build and running native images.

In the next chapter, we will get into understanding...