[2026 Deep Dive] Mastering GraalVM Native Images for Spring Boot 4.0 & Java 25: Blazing Fast Startup & Minimal Memory Footprint

Welcome, fellow backend engineers! In the relentless pursuit of performance and resource efficiency, especially within the dynamic landscapes of cloud-native microservices and serverless functions, the traditional JVM's startup overhead and memory footprint have often presented a significant challenge. Today, we're diving deep into a transformative technology: GraalVM Native Images. This powerful capability, now seamlessly integrated and highly optimized for Spring Boot 4.0 and Java 25, allows us to compile our Spring applications into standalone native executables, offering unprecedented startup speeds and drastically reduced memory usage.

This comprehensive guide will equip you with the knowledge and practical steps to master GraalVM Native Images, fundamentally changing how you deploy and run your Spring Boot applications in production. We'll explore the "why," the "how," and the "what if," ensuring you can confidently harness this game-changing technology.

TL;DR Box

GraalVM Native Images compile Java apps to native executables for lightning-fast startup and minimal memory. Spring Boot 4.0 with Java 25 offers robust AOT support, making cloud-native deployments incredibly efficient. This post covers setup, Docker integration, and troubleshooting for peak performance.

The Imperative for Speed and Efficiency: Why JVM's Traditional Model Isn't Always Enough

For decades, the Java Virtual Machine (JVM) has been the bedrock of enterprise applications, renowned for its "write once, run anywhere" portability, robust ecosystem, and impressive runtime performance driven by Just-In-Time (JIT) compilation. However, as software architectures evolved towards microservices, containerization with Docker, and serverless functions, some inherent characteristics of the JVM began to surface as potential bottlenecks:

• Slow Startup Times: A typical Spring Boot application on the JVM can take several seconds to start. This is due to the JVM needing to load classes, perform bytecode verification, JIT compile hot code paths, and Spring's own extensive initialization processes (component scanning, dependency injection, etc.). In environments where applications are frequently scaled up and down (e.g., Kubernetes autoscaling) or invoked ephemerally (serverless functions), these startup latencies directly impact user experience and resource utilization.
• Memory Footprint: JVM-based applications, especially Spring Boot, tend to consume a noticeable amount of RAM even when idle. The JVM itself requires memory, and the extensive Spring framework components, combined with loaded classes and runtime data, contribute to a larger memory footprint. In a containerized world where resource limits are tight and cloud costs are scrutinized, lower memory usage translates directly to significant cost savings and higher density on compute instances.
• Container Image Size: A standard Java application often requires a full Java Runtime Environment (JRE) to be bundled in its Docker image, leading to larger image sizes. While multi-stage builds help, shipping a complete JRE when only a native executable is needed feels inefficient.

These factors led to a significant push within the Java community to find solutions that retain Java's strengths while mitigating these specific weaknesses, especially for cloud-native deployments. This is precisely where GraalVM Native Images enter the picture.

Demystifying GraalVM Native Images: A Deep Dive into AOT Compilation

At its core, GraalVM Native Images represent a paradigm shift from the traditional JVM model. Instead of compiling Java bytecode to machine code at runtime (JIT compilation), GraalVM's native-image tool performs Ahead-of-Time (AOT) compilation.

JVM vs. AOT: A Fundamental Difference

• JVM (JIT Compilation):
  • Process: .java -> .class (bytecode) -> JVM loads bytecode -> JIT compiler optimizes and converts to machine code during runtime.
  • Pros: Dynamic optimizations based on runtime behavior, excellent peak performance for long-running applications, reflection and dynamic class loading are trivial.
  • Cons: Slower startup, higher initial memory consumption, JIT warm-up period.
• AOT (GraalVM Native Image):
  • Process: .java -> .class (bytecode) -> native-image tool compiles all reachable bytecode to a standalone native executable.
  • Pros: Instantaneous startup, significantly lower memory footprint, smaller executable size (no JRE needed), improved security (static linking).
  • Cons: Longer build times, requires explicit configuration for dynamic features (reflection, proxies, dynamic class loading), potential for slightly lower peak throughput compared to a fully warmed-up JIT.

How GraalVM Works: The Substrate VM

The native-image tool is part of the GraalVM ecosystem. It statically analyzes your application code and all its dependencies at build time to identify all reachable code paths. Then, it compiles this code into a standalone executable that includes:

1. Your application's code.
2. Required library code (e.g., Spring Framework).
3. A minimal runtime environment called the "Substrate VM." This is not a full JVM; it's a lightweight runtime that handles garbage collection, thread scheduling, and other essential low-level tasks. It's purpose-built for native execution, ensuring minimal overhead.

This process eliminates the need for a separate JRE, leading to smaller binaries and vastly reduced resource consumption. Think of it like compiling a C++ program; the output is a single, self-contained executable.

The Benefits: A New Horizon for Java Applications

• Blazing Fast Startup: Applications can start in milliseconds, making them ideal for serverless, short-lived tasks, and rapid scaling.
• Minimal Memory Footprint: Often an 80%+ reduction in RAM usage compared to the JVM, leading to substantial cost savings in cloud environments.
• Smaller Executable Sizes: No need to bundle a full JRE, resulting in smaller Docker images and faster deployments.
• Enhanced Security: Static linking can reduce attack surfaces as fewer dynamic components are involved. The entire call graph is known at build time.
• Environment Agnosticism: The native executable runs directly on the OS, making it behave more like a C++ or Go application.

The Trade-offs: Navigating the New Landscape

While the benefits are compelling, it's crucial to acknowledge the trade-offs:

• Increased Build Times: Compiling a native image takes significantly longer than building a standard JAR, as the entire application and its dependencies must be analyzed and compiled.
• Complexity with Dynamic Features: Java's highly dynamic features like reflection, proxies, dynamic class loading, and JNI (Java Native Interface) need explicit configuration hints for GraalVM during the AOT compilation process. If not configured correctly, these features might fail at runtime in a native image.
• Debugging: Debugging native images can be more challenging than traditional JVM debugging, though tools are improving.
• Reachability Metadata: Understanding what code is "reachable" at build time can sometimes be tricky, requiring manual configuration for libraries that use a lot of reflection or proxy generation.

Spring Boot 4.0 and Native Image Compatibility: A New Era

The journey towards seamless GraalVM Native Image support in Spring Boot has been a monumental effort, culminating in the robust capabilities we see in Spring Boot 4.0 (and its underlying Spring Framework 6.x/7.x versions). This isn't just about integrating a compiler; it's about fundamentally re-architecting how Spring applications initialize and operate to be AOT-friendly.

The Evolution of Spring's AOT Support

Initially, the Spring Native project was a separate incubation effort to enable GraalVM compatibility for Spring applications. It involved generating the necessary reflection/proxy hints and transforming Spring's dynamic initialization logic into static, AOT-compatible forms.

With Spring Framework 6.x and consequently Spring Boot 3.x, this support was brought directly into the core framework. Spring Boot 4.0 builds upon this foundation, further refining the AOT engine and providing even more robust and transparent native image support.

Key aspects of Spring Boot 4.0's native image strategy:

1. AOT Plugin: Spring Boot provides Maven and Gradle plugins that generate AOT processing during the build. This AOT processing generates Java source files that act as hints for GraalVM, making reflection, proxy creation, and resource access compatible with native compilation.
2. Conditional Native Configuration: Spring Boot itself and many third-party libraries now include @ConditionalOnNative or similar mechanisms, allowing components to adapt their behavior or configuration specifically when running as a native image. This helps avoid including unnecessary runtime logic that's incompatible with AOT.
3. Optimized Class Loading: Spring Boot 4.0's class loading strategy is optimized for native images, reducing the need for dynamic class loading where possible.
4. Java 25 and Project Leyden: While GraalVM Native Images are mature, Project Leyden in OpenJDK (which influences Java 25 and beyond) aims to bring AOT compilation capabilities directly into the JDK, further simplifying the process and making native images a first-class citizen in the Java ecosystem. Java 25 brings enhanced performance optimizations and potentially even better native image compatibility through ongoing platform efforts.

This means that with Spring Boot 4.0, building a native image often requires minimal or no manual configuration for most typical applications. The framework handles the heavy lifting, generating the necessary GraalVM metadata automatically.

Hands-On: Building Your First Spring Boot 4.0 Native Image

Let's get practical. We'll set up a simple Spring Boot application and compile it into a native executable.

Prerequisites

1. Java 25 JDK: Ensure you have a GraalVM-enabled JDK 25 installed, or a standard JDK 25 with the GraalVM native-image tool installed via gu install native-image.
   • SDKMAN! (Recommended): sdk install java 25-graal
   • Manual: Download GraalVM for Java 25 from the official website and set your JAVA_HOME.
   • native-image tool: After setting up Java 25 (if not GraalVM-specific), install native-image: JAVA_HOME/bin/gu install native-image
2. Maven 3.9+ or Gradle 8.x+
3. Docker (Optional, but highly recommended for containerization)

Step 1: Create a Basic Spring Boot 4.0 Application

We'll use Spring Initializr.

• Project: Maven Project
• Language: Java
• Spring Boot: 4.0.0-SNAPSHOT (or latest 4.x)
• Java: 25
• Dependencies: Spring Web, Spring Native (implicitly included in SB 4.0 for native support)

Or, manually create pom.xml:

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>4.0.0-SNAPSHOT</version> <!-- Use the latest 4.x SNAPSHOT or GA -->
        <relativePath/> <!-- lookup parent from repository -->
    </parent>
    <groupId>com.example</groupId>
    <artifactId>native-demo</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>native-demo</name>
    <description>Demo project for Spring Boot Native Image</description>
    <properties>
        <java.version>25</java.version>
    </properties>
    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <!-- No explicit spring-native dependency needed for Spring Boot 4.0, it's built-in -->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
                <configuration>
                    <image>
                        <builder>paketobuildpacks/builder-jammy-tiny:latest</builder>
                    </image>
                </configuration>
            </plugin>
        </plugins>
    </build>
    <repositories>
        <repository>
            <id>spring-milestones</id>
            <name>Spring Milestones</name>
            <url>https://repo.spring.io/milestone</url>
            <snapshots>
                <enabled>false</enabled>
            </snapshots>
        </repository>
        <repository>
            <id>spring-snapshots</id>
            <name>Spring Snapshots</name>
            <url>https://repo.spring.io/snapshot</url>
            <releases>
                <enabled>false</enabled>
            </releases>
        </repository>
    </repositories>
    <pluginRepositories>
        <pluginRepository>
            <id>spring-milestones</id>
            <name>Spring Milestones</name>
            <url>https://repo.spring.io/milestone</url>
            <snapshots>
                <enabled>false</enabled>
            </snapshots>
        </pluginRepository>
        <pluginRepository>
            <id>spring-snapshots</id>
            <name>Spring Snapshots</name>
            <url>https://repo.spring.io/snapshot</url>
            <releases>
                <enabled>false</enabled>
            </releases>
        </pluginRepository>
    </pluginRepositories>
</project>

And a simple controller:

package com.example.nativedemo;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;

@SpringBootApplication
@RestController
public class NativeDemoApplication {

    public static void main(String[] args) {
        SpringApplication.run(NativeDemoApplication.class, args);
    }

    @GetMapping("/hello")
    public String hello() {
        // Embed some synonymous Korean/English technical terms here
        // 이것은 네이티브 이미지 데모입니다 (This is a native image demo)
        // 성능 최적화 (Performance Optimization)
        // 빠른 시작 (Fast Startup)
        return "Hello from Spring Boot 4.0 Native Image with Java 25! (JVM보다 빠르다 - faster than JVM)";
    }

}

Step 2: Build the Native Executable

Spring Boot 4.0 provides a convenient way to build a native executable using the spring-boot-maven-plugin.

Using Maven:

# Clean, package the application, and then build the native executable.
# This command will trigger the AOT processing and then GraalVM native-image compilation.
# It can take several minutes depending on your system and application complexity.
./mvnw clean package -Pnative

The -Pnative profile is often automatically added by Spring Initializr for native builds. If not, you might need to add it to your pom.xml under <profiles>.

Using Gradle:

./gradlew nativeCompile

After the build process completes, you will find the native executable in your target/ directory (Maven) or build/native/nativeCompile/ directory (Gradle). It will typically be named after your artifact ID, e.g., native-demo.

Step 3: Run and Compare

Now, let's run the native executable and compare it with the traditional JAR.

1. Run the Native Executable:

./target/native-demo

Observe the startup time. It should be significantly faster, often in milliseconds!

2. Run the Traditional JAR (for comparison):

java -jar target/native-demo-0.0.1-SNAPSHOT.jar

Notice the difference in startup time. The JAR will take several seconds.

You can then test the endpoint: curl http://localhost:8080/hello

Containerizing Native Images with Docker: The Ultimate Synergy

While running a native executable directly is great, the real power for modern backend systems comes when you containerize it with Docker. Native images, with their small size and no JRE dependency, are perfectly suited for extremely lean Docker images.

Multi-OS Mapping Table for Docker Commands

Here's a quick reference for common Docker commands across operating systems. The commands themselves are largely identical, but setup or shell might vary.

Optimizing Dockerfiles for Native Executables

The Spring Boot Maven/Gradle plugin can generate a Docker image for you (using buildpacks). However, for maximum control and understanding, let's create a custom Dockerfile. The key is to use a multi-stage build:

1. Build Stage: Use a GraalVM-enabled JDK image to compile the native executable.
2. Runtime Stage: Use an extremely minimal base image (like scratch or ubuntu-minimal/redhat/ubi-minimal) since no JRE is needed.

Create a Dockerfile in the root of your project:

# Dockerfile for Spring Boot 4.0 Native Image

# --- STAGE 1: Build the native executable ---
# We use a GraalVM-enabled JDK image for the build environment.
# Note: Ensure the Java version matches your project's Java version (Java 25 here).
FROM ghcr.io/graalvm/graalvm-community-jdk:25 as builder
# 이것은 빌드 단계이다 (This is the build stage)
# 네이티브 이미지 빌드를 위한 환경 설정 (Environment setup for native image build)

WORKDIR /app

# Copy the Maven wrapper and pom.xml first to leverage Docker layer caching
COPY mvnw .
COPY .mvn .mvn
COPY pom.xml .

# If you have other shared files for build, copy them
# RUN ./mvnw dependency:go-offline # Optional: pre-download dependencies for faster builds later

# Copy the rest of the source code
COPY src src

# Build the native image. The -Pnative profile is crucial.
# Using 'package' ensures all necessary artifacts are prepared.
# 빌드 실행: 네이티브 이미지 생성 (Executing build: Native image generation)
RUN ./mvnw clean package -Pnative -DskipTests

# --- STAGE 2: Create the lean runtime image ---
# Use a very small base image, as we don't need a JRE.
# 'scratch' is the smallest possible, but often needs manual addition of C libraries.
# For simplicity, we'll use a minimal OS base image (e.g., Ubuntu minimal, or Alpine).
# Alpine Linux is a popular choice for small Docker images.
FROM alpine:latest
# 최소 런타임 환경 (Minimal runtime environment)
# 이미지 크기 최적화 (Optimize image size)

# Install glibc (required by GraalVM native images on Alpine)
# For other distributions like Debian/Ubuntu, this might not be needed or use different packages.
# 이 단계는 Alpine Linux에서 필요하다 (This step is needed for Alpine Linux)
RUN apk add --no-cache glibc

WORKDIR /app

# Copy the native executable from the builder stage
# The executable is typically located at target/YOUR_ARTIFACT_ID
# Copying the executable directly (네이티브 실행 파일 복사)
COPY --from=builder /app/target/native-demo .

# Expose the port your Spring Boot app listens on
EXPOSE 8080

# Command to run the native executable
# 애플리케이션 시작 (Starting the application)
ENTRYPOINT ["./native-demo"]

Build the Docker image:

docker build -t native-demo-app:latest .

This process will take some time due to the native compilation. Once built, you'll be amazed by the image size – often in the tens of megabytes, a fraction of a typical JVM-based Spring Boot image.

Run the Docker container:

docker run -p 8080:8080 --name native-web-app native-demo-app:latest

Again, observe the extremely fast startup time within the container. This makes your microservices incredibly responsive and resource-efficient in Kubernetes or any container orchestration platform.

Advanced Considerations and Best Practices

While Spring Boot 4.0 significantly streamlines native image creation, some scenarios still require attention.

Handling Reflection, Proxies, and Resources

GraalVM's AOT compilation needs to know about all code paths at build time. This becomes problematic with dynamic features:

• Reflection: If your code (or a library you use) inspects classes or invokes methods dynamically using Class.forName(), Method.invoke(), etc., GraalVM needs a "hint" to ensure these classes/methods are included in the native image.
• Dynamic Proxies: Libraries like Spring AOP or JPA might generate proxies at runtime. GraalVM needs to be informed about the interfaces being proxied.
• Resources: Any resources loaded via Class.getResource() or ClassLoader.getResource() (e.g., application.properties, template files) must also be declared.

Spring Boot 4.0's AOT plugin usually generates these hints automatically for common Spring patterns. However, for custom logic or lesser-known libraries, you might need to provide manual configuration:

Manual GraalVM Configuration (Reflection/Resource Hints): You can define JSON configuration files that specify what needs to be made reachable:

• reflect-config.json: For reflection.
• proxy-config.json: For dynamic proxies.
• resource-config.json: For resources.
• jni-config.json: For Java Native Interface.

These files are typically placed in src/main/resources/META-INF/native-image/YOUR_GROUP_ID/YOUR_ARTIFACT_ID/. Example reflect-config.json:

[
  {
    "name": "com.example.nativedemo.MyCustomClass",
    "allDeclaredConstructors": true,
    "allDeclaredMethods": true,
    "allDeclaredFields": true
  }
]

The Spring AOT plugin merges these with its automatically generated hints.

Testing Native Images

It's crucial to test your native image thoroughly. While the AOT engine covers many scenarios, subtle issues with dynamic loading or resource access can surface only at runtime in the native executable.

• Integration Tests: Ensure your existing integration tests run against the native executable.
• End-to-End Tests: Comprehensive E2E tests are vital to catch real-world interaction issues.
• Docker Integration: Test the native image within its target Docker environment to catch any environment-specific problems.

Conditional Native Configuration

Leverage Spring's @ConditionalOnNative (or @ConditionalOnRuntime(RuntimeMode.NATIVE)) to adapt your application logic based on whether it's running as a native image or on the JVM. This can be useful for:

• Disabling dynamic features: If a specific component relies heavily on reflection and is not critical, you might disable it for native builds.
• Providing native-specific implementations: Offering different bean implementations for native vs. JVM.

Performance Tuning

While native images are fast by default, you can further optimize:

• Smaller Base Images: Use scratch or distroless for runtime Docker images, but be prepared to manually add required C libraries (like glibc as shown for Alpine).
• Disable Unused Features: If your application uses Spring Data JPA but not a specific dialect's advanced features, ensure those parts are not pulled in.
• Profile the Build: Understand where build time is spent for native compilation to identify bottlenecks.

Real-World Scenarios and Use Cases

GraalVM Native Images with Spring Boot 4.0 are not just a theoretical improvement; they unlock significant practical advantages in various deployment scenarios:

• Serverless Functions (AWS Lambda, Azure Functions, Google Cloud Functions): The instantaneous startup time of native images dramatically reduces cold start latencies, making Java a first-class citizen for serverless workloads. This directly translates to lower costs (less idle compute time) and better user experience.
• Microservices in Kubernetes: In highly dynamic Kubernetes clusters, native images enable faster scaling up and down, improving elasticity and resource utilization. Lower memory footprints mean more services can run on fewer nodes, saving infrastructure costs.
• Batch Jobs and CLI Tools: For short-lived batch processes or command-line interface tools written in Spring Boot, native images eliminate JVM startup overhead, making these applications feel much snappier.
• Edge Computing: Deploying applications to resource-constrained edge devices benefits immensely from the minimal footprint and fast startup.
• IoT Devices: Similar to edge computing, smaller binaries and less memory can be critical for embedded systems.

Troubleshooting / What if it doesn't work? (Negative FAQ)

Even with Spring Boot 4.0's advancements, native image compilation can be tricky. Here are common issues and their solutions:

Q: My native build fails with reflect-config.json related errors or NoSuchMethodException/ClassNotFoundException at runtime. A: This is almost always a missing or incorrect reflection/resource hint.

• Solution: Identify the class/method/field that's causing the issue. If it's your code or a known library, you might need to add manual reflect-config.json (or resource-config.json, proxy-config.json) entries as discussed above. Spring Boot's AOT processing covers most cases, but some dynamic access patterns or third-party libraries might escape detection. Increase GraalVM's verbosity during build (-H:+ReportUnsupportedElementsAtRuntime) to get more clues.

Q: The build process is taking an extremely long time. A: Native image compilation is inherently slow.

• Solution:
  • Hardware: Ensure you have ample RAM (16GB+ recommended) and a fast CPU.
  • Application Size: A very large application with many dependencies will take longer. Consider splitting into smaller microservices if appropriate.
  • Caching: Docker layer caching helps with repeated builds if your Dockerfile is structured well. Build tools also cache dependencies.
  • Skip Tests: Use -DskipTests (Maven) or clean build -x test (Gradle) during the native build to speed it up if tests are not necessary for that specific build stage.

Q: My application starts but behaves differently or certain features don't work in the native image. A: This often points to subtle issues with dynamic features that were not fully captured by AOT.

• Solution:
  • Logging: Add extensive logging around the problematic areas.
  • GraalVM Tracing: Use GraalVM build arguments like -H:Log=register or -H:+TraceClassInitialization to trace class initialization and dynamic registrations.
  • Conditional Code: Use @ConditionalOnNative to temporarily disable or provide alternative implementations for parts of your code that are causing issues in native mode.
  • Library Compatibility: Check if all your third-party libraries are fully compatible with GraalVM Native Image. Some older or less maintained libraries might require more manual configuration.

Q: I get a java.io.IOException: Unable to resolve classpath resource error. A: This indicates that a resource file (like a properties file, a template, or a static asset) was not included in the native image.

• Solution: Add an entry to resource-config.json to explicitly make the resource reachable. For example, if template.html is in src/main/resources/templates/, you'd add { "pattern": "templates/template.html" }.

Q: Debugging a native image is hard. A: Yes, it is more challenging than JVM debugging.

• Solution:
  • Replicate on JVM: Try to reproduce the bug on the traditional JVM first, where debugging tools are mature.
  • Logging: Rely heavily on detailed logging.
  • GraalVM Debugging: GraalVM native-image has experimental debugging support (e.g., --debug-agent), but it's not as user-friendly as a standard Java debugger.
  • Isolate Problematic Code: Try to isolate the part of your application that's causing the issue and test it in a smaller, simpler native image to pinpoint the problem.

Mastering native images requires patience and a good understanding of Java's runtime characteristics. With Spring Boot 4.0 and Java 25, the ecosystem is more supportive than ever, but certain edge cases will still require manual intervention.

Conclusion: The Future of High-Performance Java is Here

GraalVM Native Images, empowered by the robust AOT support in Spring Boot 4.0 and the continuous advancements in Java 25, represent a significant leap forward for backend engineers. They shatter the long-held perception that Java applications must be slow to start or memory-hungry, opening up new possibilities for deploying highly efficient, cost-effective, and performant microservices, serverless functions, and other cloud-native applications.

By embracing AOT compilation, we can build Java applications that rival the startup speed and memory footprint of Go or Rust, all while retaining the immense productivity, stability, and ecosystem benefits of the Java platform. The initial learning curve, particularly around dynamic features, is a small price to pay for the profound benefits in performance, scalability, and operational cost savings. The future of high-performance Java is not just about faster JITs; it's about shifting the paradigm to native compilation, and Spring Boot 4.0 has made that future a tangible reality today.

🔗 Recommended Articles for Further Reading

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