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

Understanding PGO

Using PGO, we can run the native image with an option to generate a runtime profile. The JVM creates a profile file, .iprof, which can be used to recompile the native image, to further optimize it. The following diagram (recall it from the Profile Guided Optimization (PGO) section in Chapter 3, GraalVM Architecture) shows how PGO works:

Figure 5.12 – Native Image – profile-guided optimization pipeline flow

The preceding diagram shows the native image compilation pipeline flow using PGO. Let's understand this flow better:

  • The initial native image is instrumented to create a profile by passing the –pgo-instrument flag argument, while bundling the native image. This will generate a native image with instrumentation code.
  • When we run the native image with several inputs, a profile is created by the native image. This profile is a file generated in the same directory with the .iprof extension.
  • Once we have...