Many Java applications take 10 seconds to start and consume 500 MB of RAM. In Kubernetes, this is critical: slow startup kills auto-scaling, and excess resources increase cloud bills. We've rethought backend architecture—we use Quarkus, a framework optimized for cloud-native. Our engineers have 10+ years of Java experience and 50+ delivered projects. We guarantee 3–5× reduction in infrastructure costs through native compilation. For example, one retail client saved $4000 per month on cloud expenses after migrating from Spring Boot.
How Quarkus Saves Resources?
Quarkus compiles applications into native images via Quarkus. Cold start time—0.01–0.1 seconds vs. 2–10 seconds for Spring Boot. Memory consumption—20–60 MB vs. 200–500 MB. These aren't just numbers: fast startup enables real horizontal scaling in Kubernetes, and for Serverless, it's the difference between a working and non-working solution.
| Parameter | Quarkus (native) | Spring Boot (JVM) |
|---|---|---|
| Start time | 0.01–0.1 s | 2–10 s |
| RAM usage | 20–60 MB | 200–500 MB |
| Docker image size | ~100 MB | ~500 MB |
| Kubernetes readiness | out of the box | requires tuning |
Quarkus starts 10× faster and uses 5× less memory. It uses familiar specifications: JAX-RS, CDI, JPA, MicroProfile. Migration from Spring takes a few days. Key differences: DI via CDI (@ApplicationScoped), REST via RESTEasy Reactive (JAX-RS), ORM via Hibernate with Panache (Active Record or Repository).
How Quarkus Development Works?
We start by configuring the project and Dev Services: PostgreSQL, Kafka, Redis launch automatically in Docker. Migrations via Flyway. Quarkus Dev Mode has one of the best hot-reload mechanisms in the Java ecosystem: changes apply without restart.
Code example: entity with Panache
// Product entity with Panache Active Record @Entity @Table(name = "products") public class Product extends PanacheEntityBase { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) public Long id; @Column(nullable = false, length = 255) public String name; @Column(unique = true) public String slug; @Column(precision = 10, scale = 2) public BigDecimal price; @ManyToOne(fetch = FetchType.LAZY) @JoinColumn(name = "category_id") public Category category; public boolean isActive = true; @Column(columnDefinition = "jsonb") @Type(JsonType.class) public Map<String, Object> attributes = new HashMap<>(); // Static Panache methods public static List<Product> findActive() { return list("isActive", true); } public static Page<Product> findActiveByCategory(Long categoryId, int page, int size) { return find("category.id = ?1 and isActive = true", categoryId) .page(page, size); } } Resources (controllers) are implemented with RESTEasy Reactive, which natively supports non-blocking operations:
@Path("/api/v1/products") @Produces(MediaType.APPLICATION_JSON) @Consumes(MediaType.APPLICATION_JSON) @ApplicationScoped public class ProductResource { @Inject ProductService productService; @GET @Authenticated public Response list( @QueryParam("page") @DefaultValue("0") int page, @QueryParam("size") @DefaultValue("20") @Max(100) int size, @QueryParam("category_id") Long categoryId) { PanacheQuery<Product> query = categoryId != null ? Product.find("category.id = ?1 and isActive = true", categoryId) : Product.find("isActive", true); List<Product> products = query .page(page, size) .list(); long total = query.count(); return Response.ok(new PagedResponse<>( products.stream().map(ProductDto::from).toList(), page, size, total )).build(); } @POST @RolesAllowed("admin") @Transactional public Response create(@Valid CreateProductRequest request) { Product product = productService.create(request); return Response.status(Response.Status.CREATED) .entity(ProductDto.from(product)) .build(); } @GET @Path("/{id}") public ProductDto get(@PathParam("id") Long id) { return Product.findByIdOptional(id) .map(ProductDto::from) .orElseThrow(NotFoundException::new); } @DELETE @Path("/{id}") @RolesAllowed("admin") @Transactional public Response delete(@PathParam("id") Long id) { boolean deleted = Product.deleteById(id); return deleted ? Response.noContent().build() : Response.status(404).build(); } } How to Configure Security?
We configure security via SmallRye JWT. Configuration in application.properties:
mp.jwt.verify.publickey.location=META-INF/resources/publicKey.pem mp.jwt.verify.issuer=https://myapp.com quarkus.http.auth.permission.authenticated.paths=/api/v1/* quarkus.http.auth.permission.authenticated.policy=authenticated quarkus.http.auth.permission.public.paths=/api/v1/auth/*,/api/v1/products quarkus.http.auth.permission.public.policy=permit What Does Native Compilation Provide?
We configure native build once in CI/CD. Build command:
./mvnw package -Pnative -DskipTests # or via Docker ./mvnw package -Pnative -Dquarkus.native.container-build=true At production startup, you get a binary that launches in milliseconds. This is especially important for Serverless functions and ephemeral pods in Kubernetes.
Case Study: E-Commerce Backend on Quarkus
We implemented a catalog with filtering and a shopping cart for a major retailer. The original Spring Boot project started in 8 seconds, consumed 400 MB RAM. After migration to Quarkus native: cold start 0.05 s, memory 45 MB. A cheap 2-core, 4 GB RAM server handles a peak load of 1000 RPS. Cloud savings were 4× — over $4000 per month.
Work Process
- Requirements analysis and technical specification. We capture API, entity, and integration requirements.
- Project setup: Quarkus 3.x, Java 21, PostgreSQL, Redis, Docker Compose.
- Entity and resource development using Panache and RESTEasy Reactive.
- Authorization implementation (JWT, OAuth2, Keycloak).
- Integration with external services via REST or message queues.
- Writing tests (QuarkusTest + RestAssured).
- CI/CD configuration with native build and Kubernetes deployment.
- Delivery of documentation, repository, credentials, and team training.
What's Included
- REST API development with OpenAPI documentation
- Authorization setup (JWT, OAuth2, Keycloak)
- Database migrations (Flyway/Liquibase)
- Integration with message queues (Kafka, RabbitMQ) and cache (Redis)
- Test writing (QuarkusTest + RestAssured)
- CI/CD pipeline with native build and Kubernetes deployment
- Delivery of repository, documentation, credentials, and training for the client's team
Estimated Timelines
| Stage | Duration |
|---|---|
| Project setup + Dev Services + migrations | 3–5 days |
| Entities (Panache) + Resources | 1–1.5 weeks |
| Security + JWT | 3–5 days |
| Reactive endpoints | +1 week |
| Native build setup | 2–5 days |
| Tests | 1 week |
| Enterprise backend (full cycle) | 7–14 weeks |
Contact us for a project assessment. Get a consultation on migrating from Spring Boot or starting a new project. We guarantee transparent timelines and results that meet Core Web Vitals.







