QUARKUS · CLOUD-NATIVE · SERVERLESS

High-performance Quarkus development

We design and build Quarkus services with GraalVM native, end-to-end reactive Mutiny and MicroProfile extensions on Kubernetes. Supersonic Java, ready for production.

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Production stack
Quarkus logo
Quarkus native build
linux/amd64 · GraalVM 21
READY
Startup
0.018 s
RSS
48 MB
Binary
67 MB
Req/s
12.4k
01 · WHY QUARKUS

Supersonic Java for Kubernetes and serverless.

Quarkus compiles to native binaries with GraalVM, runs end-to-end reactive with Mutiny and ships with MicroProfile extensions. Every millisecond of startup and every megabyte of RAM turns into lower cost per request.

Startup under 50ms.

GraalVM native binaries that boot in milliseconds. Lambda, Knative and autoscaling without cold-start penalty.

Under 50MB of RAM in native.

Tiny footprint that multiplies pod density per node. More services per cluster, lower cloud bill.

Mutiny end-to-end reactive.

Uni and Multi pipelines with backpressure from the database to the client. Non-blocking IO, stable throughput under load.

Quarkus extension ecosystem.

Build-time wiring with static metadata that removes the cost of runtime reflection.

Portable MicroProfile.

Config, Health, Metrics and OpenTelemetry as a standard. Same contracts across runtimes, observability out of the box.

Dev mode with live coding.

Hot recompile without restarts, Dev Services that spin up Postgres, Kafka and Redis with Testcontainers, continuous testing on save.

02 · EXECUTION MODES

Four Quarkus modes for four scenarios.

Quarkus ships several runtimes. We pick between JVM, native, reactive and serverless based on load, latency target and cost per request. Every mode is captured in an ADR.

Quarkus JVM

HOTSPOT · DEV & STAGING

Fast compile, JIT and the full Java ecosystem. High iteration speed for development, pre-prod and services with steady traffic.

Startup 1-2s · RAM 150-250MB

Quarkus Native

GRAALVM · PRODUCTION

AOT-compiled binary with GraalVM. Instant startup and minimal RAM in production and serverless with critical cold-start.

Startup < 50ms · RAM < 50MB

Quarkus Reactive

MUTINY · NON-BLOCKING IO

REST Reactive, Hibernate Reactive and SmallRye Messaging on Vert.x. High throughput with few threads for APIs and Kafka streaming.

12k+ req/s per instance

Quarkus Serverless

LAMBDA · KNATIVE · AZURE

Native functions for AWS Lambda, Knative and Azure Functions. Scale to zero between requests, pay per invocation.

Cold-start 40-80ms
03 · STACK

Quarkus stack in production.

Quarkus 3 core with GraalVM, reactive data with Hibernate Reactive and Panache, Kafka and gRPC messaging, operation on Kubernetes with OpenTelemetry. Every piece backed by an official extension and declarative config.

Core
Quarkus 3.xGraalVM 21MicroProfile
Data
Hibernate ReactivePanacheFlyway
Messaging
KafkaSmallRye ReactivegRPC
Operations
KubernetesKnativeOpenTelemetry
04 · QUESTIONS

What teams ask before choosing Quarkus.

Direct answers on performance, compatibility and production operation.

  • Quarkus or Spring Boot?
    Spring Boot fits enterprise applications with a consolidated Java domain and a stable JIT. Quarkus fits when fast startup, minimal footprint or end-to-end reactive drive the decision. We model the case and write the ADR before choosing.
  • Is GraalVM native worth it in production?
    Yes for serverless with critical cold-start, pods with aggressive autoscaling and workloads where node density matters. For services with steady traffic we keep JVM and reserve native for points where cost per request justifies it.
  • Do all Java libraries work on Quarkus?
    Official extensions cover Kafka, JPA, OIDC, Camel, gRPC, Redis and MicroProfile with no runtime reflection. For libraries without an extension we configure GraalVM reachability metadata or swap to a native-friendly alternative.
  • How steep is the learning curve for the team?
    A team with a Java foundation hits production in a few weeks. Dev mode, Dev Services and the CLI shorten the feedback loop. We train on Mutiny and reactive patterns when the project needs them.
  • Does Quarkus handle production load at scale?
    Quarkus runs on Kubernetes clusters with thousands of pods and reactive APIs above 10k req/s per instance. We measure it with OpenTelemetry, load profiles and benchmarks before go-live.
  • How does it integrate with observability and CI/CD?
    OpenTelemetry, MicroProfile Metrics and Health active out of the box. Native build with GitHub Actions or GitLab CI, distroless images and deploy to Kubernetes or Knative with Helm or Kustomize.

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