Twelve years shipping Java in production — Spring Boot services that survive GC pauses under load, thread pools tuned for actual traffic patterns, distributed transactions that don't lose data. Real Java development services means operating the JVM like the enterprise runtime it actually is, not inheriting it from a tutorial.
Why Entalogics for Java
What actually breaks Java in production is almost always the same list — thread pool exhaustion nobody sees until the dashboard flatlines, JPA firing thirty queries where it should fire one, Spring context startup times that make autoscaling useless. A Java development company inheriting any of these knows exactly where to look.
GC pauses, heap sizing, thread pool configuration — these aren't DevOps problems, they're architecture problems that surface under real traffic. We profile before we ship, not after the first latency alert hits at 3am.
Spring makes it easy to autowire anything from anywhere — that's the trap. Bounded contexts with explicit module APIs, constructor injection only, and package-private classes that prevent the dependency graph from becoming everyone's problem to untangle.
Hibernate is powerful and dangerous in equal measure. Lazy loading that fires in a controller, N+1 selects hidden behind a clean repository interface — we use JPA for complex domain models and Spring JDBC or jOOQ for read-heavy paths where the ORM overhead isn't justified.
Java 21 records for DTOs, sealed interfaces for domain state machines, Bean Validation at every API boundary. When a domain type changes, the compiler finds every downstream break before the integration test suite even starts.
When Java, when not
Not every problem needs the JVM. We'll tell you on the first call if Java is genuinely the right fit, or if you're paying for ceremony your product doesn't need.
PICK JAVA WHEN
CONSIDER OTHERS WHEN
WE SAY NO WHEN
What we build with Java
The shapes of Java development we take on most — enterprise-grade, high-reliability, built to still be maintainable when the third team inherits it.
Spring Boot 3 with virtual threads, Bean Validation at every boundary, Actuator and Micrometer wired in from day one. APIs that are observable before they're ever launched.
Transaction integrity at every layer — distributed sagas, idempotency keys, audit trails baked in. The kind of Java backend where "eventually consistent" isn't an acceptable default.
Kafka for event streaming, Spring Cloud for service discovery, circuit breakers and retry logic that don't hammer dead services. Systems designed to fail gracefully, not cascade.
Legacy ERP connectors, SOAP-to-REST bridges, message queue middleware. Java's enterprise ecosystem handles integration surfaces no other backend language touches as cleanly.
The spreadsheet that became five. The internal portal three departments use but nobody maintains. We replace all of it with real tooling.
Java 8 to Java 21, Spring MVC to Spring Boot 3, monolith to modular monolith — one service at a time, with the current platform running the entire time we're migrating underneath it.
The playbook
Proven in production under real enterprise load — not demo apps or conference talks.
P01
Java 21 virtual threads handle I/O-bound concurrency without the callback complexity of Project Reactor. Simpler code, the same throughput, and a mental model a mid-level engineer can actually follow.
P02
Bean Validation on inbound requests, records for DTOs, OpenAPI specs generated from code instead of maintained separately. A broken contract surfaces at compile time, not in a customer's error log.
P03
Entity graphs defined per use case, @BatchSize and fetch joins configured explicitly, N+1 detection running in CI with query count assertions. Hibernate treated with discipline, not trusted blindly.
P04
Kafka with Axon or a custom event store for domains where audit trails and replay are actual requirements. CRUD everywhere else. We don't event-source a user profile.
P05
Testcontainers runs Postgres, Kafka, and Redis for every test suite — real services, not mocked interfaces that behave differently from production at 3am.
P06
New Spring Boot development services behind a gateway, running alongside the legacy application. One endpoint at a time — the old system keeps serving until the new one has earned every route.
Signature case
A B2B payments platform on Java 8 with Spring MVC — 1.2s p99 on transaction endpoints, thread pool exhaustion under peak load, a monolithic WAR deployed every two weeks with a 30-minute maintenance window. Migrated to Spring Boot 3 with virtual threads and modular bounded contexts in 14 weeks. Zero transactions dropped.
Before
p99 transaction 1.2s · thread pool exhaustion at peak · 30-min deploy window · monolithic WAR
After
p99 transaction 68ms · virtual threads, no pool exhaustion · zero-downtime rolling deploy · modular services
Engagement shape
One service at a time. The legacy platform keeps processing the entire time.
Two senior Java engineers go through the codebase — JVM profiling, thread pool analysis, JPA query audit, dependency graph review. A ranked, dollarized RFC, not a slide deck of code smells.
Spring Boot 3 baseline, virtual threads enabled, Actuator and Micrometer wired in, one production service migrated end-to-end. Real p99 numbers in your dashboards.
Service by service behind a gateway, old and new running side by side. Kill-switch on every cutover. Your roadmap keeps moving.
Decommission the legacy WAR. Integration test coverage on critical paths. Runbook handed to your team — or we stay on retainer.
Stack
Picked for production reliability under enterprise load. Already on a stack? We slot in.
Engagement
No hourly retainer billing for "thinking time." Every path is fixed-quote or transparently rated.
One product, scoped and priced once, built entirely by senior engineers. RFC to launch in 8–14 weeks.
FIXED SCOPE
A pod of senior Java engineers embedded in your Slack, your Linear, your standups. Resize or pause with 30 days' notice.
PER ENGINEER
For product orgs that need more than delivery — a long-term Java consulting partner: a JVM modernisation program, a Spring Boot migration roadmap, hiring help.
custom
PROCUREMENT-FRIENDLY
Founder-direct
Thirty minutes with the founder — a senior Java engineer, the relevant playbook, and a candid read on whether the JVM is the right runtime, or you're paying for ceremony you don't need.
