
Norbert Baumann
VP R&D – Sonnen
"They treat the customer portal as their product and this resulted in the high quality of their work."
Boldare provides Java development services for backend systems that can't afford to fail, tuning JVM performance, building Spring Boot microservices, and architecting Kafka-based event-driven systems. For 20+ years, we've shipped production Java systems for industries where a mistake costs the most, from e-invoice compliance platforms to automotive and renewable-energy products.
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The JVM's Just-In-Time compiler profiles code while it executes and recompiles hot paths into optimized machine code, so long-running services, the kind Boldare builds for compliance platforms and industrial backends, get faster over time instead of staying static.
Virtual threads (Project Loom, standard since Java 21) let a single service handle hundreds of thousands of concurrent connections without the memory cost of spawning one OS thread per request, a scaling problem Boldare's Java engineers solve routinely, not one they patch after an outage.
Java's static typing forces type errors to surface at build time, not at 3am in production. That matters most in systems where a runtime bug has real consequences, compliance platforms, industrial backends, transaction-heavy systems – which is why Boldare builds on it for exactly those cases.
Code written for Java 6 in 2008 still compiles and runs on Java 21. Enterprises can upgrade the runtime for performance and security without rewriting the application layer underneath it.
20+ years building scalable, server-side applications with Java. Talk to our team about your project.
Java in practice, not just theory. Three industries, three different challenges, one approach to building in Java, see Boldare's case studies below.
Everything you need to know about Java development
A monolith that should've been split years ago keeps growing because nobody owns the decision to refactor it
Every new feature adds another layer to a Spring context nobody fully understands anymore
Thread pools and connection limits are tuned by trial and error after an outage, not before one
The same version of Java and the same dependencies run for years because upgrading feels too risky
Test coverage exists on paper, but nobody's confident enough in it to ship on a Friday
Services are split or kept monolithic based on actual team and traffic boundaries, not fashion
Dependency and JVM upgrades are planned and scheduled, not avoided until forced
Concurrency and memory settings are load-tested before launch, not discovered in an incident
Test coverage is treated as a build gate, not a metric to report on later
One team owns architecture, performance, and production stability – end to end
From discovery to production – five steps, full transparency, AI-native delivery.
Structured needs-analysis call mapping scope, constraints, and success criteria – before any proposal.
Proven, battle-tested tools matched to your requirements, not built from scratch.
Detailed CAPEX/OPEX estimates. Choose validate-first (prototype → pilot) or a direct build for faster delivery.
Every sprint transparent: what was built, hours spent, budget remaining. Direct team access, no account-manager layers. Your code and IP, always.
AI embedded across the SDLC to speed up delivery. Final decisions and accountability stay with experienced engineers.
From legacy modernization to greenfield backend builds — these numbers reflect a track record, not a pitch.
Client partnerships built and maintained across industries
Digital products delivered, from MVP to enterprise scale
Independently verified client reviews on Clutch.co
Enterprise brands trust us – from Decathlon to McKinsey & Company
More than 22 years of engineering craftsmanship, now AI-enhanced
One partner from idea to launch
Straight answers on scalability, technical debt, code ownership, and what changes when your backend runs on Java.
Rarely worth it. Most "migrate away from Java" conversations end with modernizing the JVM version, dependency stack, and architecture instead – the JVM's backward compatibility means a 15-year-old codebase can usually be upgraded incrementally rather than replaced
Usually more than the team estimates, and it's rarely visible until an upgrade or incident forces it. A code audit against dependency age, test coverage, and JVM version gives a concrete number instead of a guess – worth doing before committing to a roadmap.
Depends on duration and risk tolerance. Hiring makes sense for core, long-term ownership. Augmenting with an external team makes sense for scaling fast, covering a skills gap (e.g., Spring migration, performance tuning), or de-risking a deadline, without the 3–6 month hiring cycle.
With guardrails, yes – but not unsupervised. The gains show up in test coverage and documentation more than in raw feature code, since a senior engineer still needs to review architectural decisions. One production engagement raised test coverage from 85% to 95% in a quarter using this approach, without it functioning as autopilot.
Security patches stop, hiring gets harder (fewer engineers want to work in an outdated stack), and every new dependency has to be checked for compatibility. It compounds quietly until a security audit or a hiring freeze forces the conversation.
Java is one part of a broader engineering practice at Boldare. Below is the rest of what we build – from AI integration and legacy modernization to other backend stacks, for teams who need more than one technology solved well.
See our full range of services
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Boldare S.A. z siedzibą w Gliwicach, przy ul. Zwycięstwa 52, zarejestrowana w Sądzie Rejonowym w Gliwicach, X Wydział Gospodarczy Krajowego Rejestru Sądowego pod nr KRS 0000914518, NIP 6312698829, REGON 38958555. Wysokość kapitału zakładowego i wpłaconego 100 000,00 zł.