Java development company
Spring Boot services, Kafka event pipelines and upgrades from Java 8 or Java EE to current LTS releases, built by engineers who ship tests, observability and a deployment pipeline with the code rather than after it.
- Senior engineers · IST + EST overlap
- NDA on day 1
- 24-hour reply
- Projects shipped
- 50+
- Code ownership
- 100%
- Client rating
- 4.8/5
- First reply
- 24h
Java backends built for long production lives
Krapton is a Java development company that designs, builds and modernizes server-side systems on the JVM, from greenfield Spring Boot APIs to decade-old monoliths that still run payroll or order processing. Java earns its place where a codebase must outlive several teams: static typing, mature tooling and a long-term-support cadence make large systems easier to change safely. Our engineers work on current LTS releases such as Java 21 and Java 25, use virtual threads where blocking I/O dominates, and keep Hibernate honest by reviewing generated SQL and fetch plans rather than trusting defaults. Modernization work is incremental: OpenRewrite recipes handle the javax-to-jakarta namespace move and Spring Boot upgrades, Testcontainers gives integration tests a real PostgreSQL or Kafka, and the strangler-fig pattern moves traffic off legacy modules one route at a time. You receive source code in your repository, Flyway migrations, CI pipelines, Micrometer and OpenTelemetry instrumentation, and runbooks your own team can follow.
Java development services
Spring Boot API development
REST and gRPC services on Spring Boot with Spring Security, OAuth2 resource servers, validated request models, OpenAPI contracts generated from code, and Flyway-managed schemas that evolve without hand-run SQL.
Application server exits
Moves off WebLogic, WebSphere or JBoss deployments onto Spring Boot or Quarkus, with characterization tests pinning current behavior before any refactor and automated recipes handling the mechanical edits.
Event-driven systems with Kafka
Producers, consumers and Kafka Streams topologies with idempotent writes, schema evolution through a schema registry, dead-letter topics, and consumer-lag alerts so backlogs surface before customers notice them.
JVM performance tuning
Profiling with Java Flight Recorder and async-profiler, garbage collector selection between G1 and ZGC, heap and thread-pool sizing for containers, and query fixes for Hibernate N+1 patterns.
Microservices or modular monolith
Service decomposition where it pays off, using Spring Cloud Gateway, Resilience4j circuit breakers and contract tests, or a Spring Modulith monolith when the team is too small to run many services.
Containers and cloud deployment
Container images built with Jib or Cloud Native Buildpacks, JVM flags tuned for memory limits, Kubernetes readiness probes wired to Spring Boot Actuator, and GraalVM native images where cold starts matter.
Why teams choose Krapton for Java
Senior engineers, fixed scope, and code you own — the things agencies promise and rarely deliver.
Upgrades without feature freezes
Modernization runs beside roadmap work: we pin behavior with tests, upgrade in small merge requests, and keep the application deployable after every step instead of parking it on a long-lived branch.
SQL reviewed, not assumed
JPA makes data access easy to write and easy to get wrong. Reviews check generated queries, fetch strategies, transaction boundaries and index usage before an endpoint reaches production traffic.
Observability from the start
Every service ships with Micrometer metrics, OpenTelemetry traces and structured logs, so latency regressions, connection-pool exhaustion and slow consumers show up on dashboards rather than in support tickets.
Plain advice on Java fit
If Go, Kotlin or a managed platform would serve the problem better, we say so. Java is recommended when its ecosystem, hiring pool and long support windows match the product’s lifespan.
How a Java project runs with Krapton
01
Codebase and runtime audit
We read the build files, dependency tree, JDK version and production metrics, then list upgrade blockers, risky libraries and the modules that change most often.
02
Architecture and contracts
Module boundaries, OpenAPI or Protobuf contracts, data ownership and messaging choices are agreed in short design documents before implementation starts, so integration surprises appear on paper first.
03
Build in vertical slices
Each slice goes from controller to database with unit tests in JUnit 5, Testcontainers integration tests and a deployable artifact reviewed in a demo.
04
Release and hand over
Blue-green or canary releases, load tests with Gatling, alert thresholds tuned on real traffic, and architecture notes your engineers can maintain without us.
The Java stack we build with
Java development: questions answered
What does a Java development company actually deliver?
It delivers working server-side software plus everything needed to run it: source code, database migrations, automated tests, CI/CD pipelines, container images and monitoring. For Java work that usually means Spring Boot services, integrations with payment, ERP or identity systems, and documentation of how modules, queues and data stores fit together. The goal is a system your own engineers can extend after the engagement ends.
When is Java the wrong choice for a new backend?
Java is a poor fit when the product is a small, short-lived service or the team has no JVM experience to maintain it. Rarely invoked serverless functions also suffer JVM cold starts unless you adopt GraalVM native images or AWS Lambda SnapStart, both of which add build constraints. For quick prototypes, Node.js or Python often moves faster; for very lean network services, Go is worth comparing.
How do you migrate a Java 8 application to a current LTS release?
Incrementally, with tests in place before any version jump. We first add characterization tests around critical flows, then work through Java 11 and 17 compatibility issues such as the removed JAXB and Java EE modules, illegal reflective access and outdated libraries. OpenRewrite covers much of the package rename that Spring Boot 3 requires. Each step reaches production before the next starts, so problems stay small and traceable.
How do you keep a Spring Boot system fast as traffic grows?
Measure first, then fix the actual bottleneck. Most slow Java services are limited by database round trips, exhausted HikariCP connection pools or blocking calls, not by the JVM itself. We profile with Java Flight Recorder, fix queries and caching, and then scale horizontally behind Kubernetes autoscaling. Virtual threads help request-per-thread code handle more concurrent I/O, but they do not fix a saturated database.
What decides the cost of hiring a Java development company?
Scope and the state of existing code decide it more than anything else. A new service with clear requirements takes less effort than untangling a legacy monolith with no tests. Other drivers are the number of integrations, data migration volume, compliance needs such as PCI DSS or SOC 2 evidence, uptime requirements and the seniority mix of the team. A short discovery phase turns these into a fixed-scope estimate or a sprint plan.
Ready to build? Tell us what you have in mind.
Send a short brief and a senior engineer will reply within one business day with next steps — no sales fluff.