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1Clear out junk files and repair common Windows errors2Fix the driver behind crashes, sound loss and screen glitches3Repair Windows errors before they cause bigger problemsCompile a Java application to a native executable when faster startup or a smaller runtime memory footprint matters more than build speed and peak throughput—and only after testing your own workload. GraalVM Native Image moves compilation ahead of execution, changing the artifact you deploy and the trade-offs you need to measure; it is an option alongside JVM deployment, not an automatic upgrade.
What changes when Java is compiled to a native executable?
GraalVM Native Image performs ahead-of-time compilation: it analyzes and compiles the application before it runs, producing a native executable that includes application code, required libraries, Java APIs, and a reduced VM. A conventional Java deployment instead runs on a JVM, where compilation and optimization occur during execution.
That shift can reduce startup time and runtime memory for some applications, but it also moves work into the build and can affect sustained throughput. Native compilation does not guarantee that every dependency or dynamic Java pattern will work without configuration. Compatibility and configuration effort need to be checked against the application’s actual code and dependencies.
When is native compilation worth evaluating?
Cold starts and short-lived instances matter
Native executables are worth testing when an instance must become useful quickly—for example, in scale-to-zero or serverless deployments, edge environments, or services that frequently start and stop. The relevant measure is not just process launch: compare time to the first useful request under the conditions your users or platform experience.
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Runtime memory or container density is a constraint
If memory limits or the number of instances that fit on a host are major constraints, compare resident memory under equivalent load. A lower runtime footprint may be valuable even if the native version does less work per second; the decision depends on the service’s capacity needs and deployment limits.
The workload favors startup over sustained throughput
Native compilation may be a poor fit when a service is long-lived and needs maximum sustained throughput. In Quarkus’s published example, the native configuration delivered 5,411 transactions per second—about 59% below the compared JVM result. That is one benchmark, not a general performance ratio for Java applications.
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What do published Quarkus figures show?
Quarkus provides useful examples of the trade-offs, but the figures come from different benchmark contexts and should not be read as one controlled comparison. Its 2026-04-21 performance-lab results report time to first request of approximately 17 ms for a small application to approximately 240 ms for a large one, 5,411 transactions per second, and 95 MiB resident set size for a native (Mandrel) example. Those measurements used Quarkus 3.34.3, JDK 25.0.2, GraalVM 25.0.2-graalce, four CPUs, and -Xmx512m; the throughput figure was about 59% below the compared JVM result.
Other numbers on Quarkus’s guide come from separate sources: a 581 ms cold start is from Leyden integration benchmarks, while a 244 MB image size is from a March 2026 performance post. They do not share the performance-lab context above. Quarkus also characterizes native builds as taking minutes where JVM builds take seconds. Its example native setup lists 3–10 minutes and 4–8 GB of build-host RAM; those are guide-specific examples, not requirements for every project.
How should you compare native and JVM deployments?
Keep the application behavior and deployment conditions comparable. Change one relevant variable at a time where possible, record the toolchain and hardware, and use representative workloads rather than relying on a single launch-time result. Quarkus links runnable scripts for its reference figures; its benchmark guidance is a useful reminder to make measurements reproducible.
- Startup and first useful request: measure both process startup and the time until the application can serve the request that matters.
- Sustained throughput and latency: run a representative load long enough to assess steady-state performance, not just startup behavior.
- Runtime memory: compare resident memory under the same load and operating conditions.
- Build duration and host resources: record build time plus the CPU and RAM required to generate the executable.
- Artifact and operations: compare image or container size, deployment requirements, compatibility, configuration effort, and the debugging and monitoring workflow your team needs.
Record the Java, framework, Native Image, and build-tool versions, along with hardware, heap settings, and workload details. These can change the outcome, so a result from a different version or environment may not predict yours.
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What does native-image building cost?
Native compilation makes the build more resource-intensive than a JVM build in the Quarkus guidance. Image generation can also consume substantial RAM: Quarkus’s native reference says a sample Quarkus Jakarta Persistence application may use 6–8 GB of resident memory during image generation. Treat that as an example, not a baseline requirement; measure your own build and size CI workers accordingly.
The same reference explains how to set a limit for the image-generation heap. A limit can help manage build-host memory, but it must be sufficient for the build to complete. Check the current documentation for the toolchain and release you use before setting build options.
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How can you build a native Spring Boot application?
Spring Boot documents two routes: Cloud Native Buildpacks using the Paketo Java Native Image buildpack, or GraalVM Native Build Tools. The appropriate path depends on your project and build environment; follow the documentation for the specific Spring Boot, JDK, buildpack, and tool releases in use.
- Spring Boot’s native-image documentation describes its Cloud Native Buildpacks and GraalVM Native Build Tools support.
- GraalVM’s build guide shows Maven’s
./mvnw -Pnative native:compileand Gradle’s./gradlew nativeCompileexamples.
These are documented examples, not universal commands: prerequisites and exact steps depend on the selected JDK and tool or buildpack release.
A practical decision rule
Choose native compilation when your measurements show that startup or runtime memory is a meaningful bottleneck and the application builds and runs reliably with its dependencies. Prefer a JVM deployment when it meets the service’s startup and memory needs while offering better sustained throughput or a simpler build and operating model. If neither option has been measured under production-like conditions, benchmark both before committing.
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