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World Congress 2025 • Aug 20, 2025 • Session details

Like Spring, but Faster: The new Java Jedi

Eric Deandrea

Slash cloud costs and memory footprints without abandoning your Java expertise. See how Quarkus shifts Spring Boot initialization to build-time for ultra-fast, Kubernetes-native deployments.

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#1 about 5 min

Understanding Java virtualization and just-in-time compiler performance challenges

The historical design of Java runtime environments introduces heavy resource costs for initialization and dynamic compilation processes.

#2 about 2 min

Running traditional Java applications in constrained containerized environments

Deploying applications into constrained containers amplifies the negative impacts of traditional virtual machine startup overhead.

#3 about 2 min

Understanding Spring framework initialization and runtime configuration processes

Standard Spring auto-configuration mechanics incur significant computing delays during the dynamic runtime application assembly phase.

#4 about 2 min

Shifting Spring framework initialization to build time with Quarkus

Pre-computing framework behaviors and dependency chains at build time bypasses reflection penalties to drastically optimize startups.

#5 about 2 min

Removing JVM overhead to produce target-specific application binaries

Eliminating the virtual machine layer by compiling execution logic directly into native binaries significantly reduces system overhead.

#6 about 4 min

Benchmarking standard Spring Boot application initial request latency metrics

Establishing baseline infrastructure metrics reveals the standard memory footprint and initial request latency of legacy setups.

#7 about 3 min

Evaluating ahead-of-time compilation metrics for Spring context initialization

Generating ahead-of-time context elements shaves off runtime initialization delays and modestly reduces application heap requirements.

#8 about 4 min

Replacing standard Spring dependencies with optimized Quarkus extension libraries

Adapting Spring properties into build-time optimized capabilities ensures faster deployments without modifying the core domain logic.

#9 about 4 min

Comparing native GraalVM image throughput against traditional JVM instances

Leveraging native executable techniques exchanges long-running throughput optimization for immediate latency performance and smaller runtime footprints.

#10 about 4 min

Processing unmodified Spring stack components into native executable formats

Compiling code into rigid static binaries inherently breaks dynamically configurable properties normally handled by ephemeral containers.

#11 about 3 min

Improving Kubernetes cluster capacity planning and deployment carbon efficiency

Lowering cloud compute allocations directly minimizes continuous operational expenditure and strictly limits application carbon emissions.

Matching moments

2:37 min

Optimizing container workloads with Quarkus and lightweight JVMs

Niklas Heidloff · LIVE

2:20 min

Overcoming Java cold starts using the Quarkus framework

Alex Soto Alex Soto · LIVE

1:41 min

Utilizing Quarkus for Kubernetes native Java

Thomas Südbröcker · LIVE

8:20 min

Deploying native Quarkus applications to a Knative cluster

Alex Soto Alex Soto · LIVE

5:42 min

Introduction to developer joy and the Quarkus ecosystem

Daniel Oh Daniel Oh · World Congress 2025

4:20 min

Creating and configuring a basic native Quarkus application

Alex Soto Alex Soto · LIVE

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