Java Backend Development with Quarkus (Turnkey)

Are your Java applications slow to start and consuming too many resources in the cloud? We build backends on Quarkus, a cloud-native framework that optimizes performance and reduces infrastructure costs. Our team delivers turnkey projects from audit to deployment and ongoing support, ensuring a reliable solution that scales with your business.

Development and maintenance of all types of websites:

Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
E-commerce websites or web applications
Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
Business process management web applications
CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

Our competencies:

Frequently Asked Questions

Latest works

  • Development of a web application for FEEDME
    Development of a web application for FEEDME
    1342
  • Development of an online store for the company FURNORO
    Development of an online store for the company FURNORO
    1304
  • Development of a web application for Enviok
    Development of a web application for Enviok
    1047
  • CRM development for Chasseurs
    CRM development for Chasseurs
    1094
  • Website development for SBH Partners
    Website development for SBH Partners
    1169
  • Website development for Red Pear
    Website development for Red Pear
    593

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

  1. Requirements analysis and technical specification. We capture API, entity, and integration requirements.
  2. Project setup: Quarkus 3.x, Java 21, PostgreSQL, Redis, Docker Compose.
  3. Entity and resource development using Panache and RESTEasy Reactive.
  4. Authorization implementation (JWT, OAuth2, Keycloak).
  5. Integration with external services via REST or message queues.
  6. Writing tests (QuarkusTest + RestAssured).
  7. CI/CD configuration with native build and Kubernetes deployment.
  8. 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.