Java Enterprise
A Java backend that holds the load and doesn't wake you at 3 a.m. — even when traffic grows 10×
We design microservices, integrations and legacy-monolith migrations. 99.95% SLA, documentation, tests, and training for your team.
- 10+
- production systems
- 99.95%
- average SLA
- −68%
- incidents after refactor
Problems we solve
Sound familiar?
Java lives for decades — and accumulates problems for decades that slow the business down.
A monolith that won't release
Every release is a night shift for a team of ten and a prayer.
Incidents nobody can explain
Because there are no logs, monitoring is Zabbix from 2014, and there is no architecture documentation at all.
Knowledge walks out with the team
Seniors leave — and the codebase becomes a black box for new engineers.
Cloud costs as much as the office
Because the architecture hasn't changed since on-prem days — it just moved to AWS.
How we help
Java systems that you can actually maintain
Clean architecture, documentation, tests, monitoring — and a team that transfers knowledge rather than hoarding it.
Architecture for your domain
DDD, hexagonal or layered — we pick what fits your business, not what's trendy.
Observability out of the box
Metrics, traces, logs with correlation — incidents found in minutes, not days.
Tests that actually catch regressions
Unit + integration + contract. CI catches them, not your customers.
Knowledge transfer
Onboarding doc for new engineers, ADRs for every decision, pair programming with your team.
What you get
Not 'GitHub access' — a working system
- Microservices or a modular monolith in production with CI/CD
- API documentation (OpenAPI / GraphQL schema)
- Architectural decisions recorded as ADRs
- Monitoring, alerts and dashboards (Prometheus / Grafana)
- Tests: unit, integration, contract, load
- Onboarding document for new developers
Process
From idea to production — in 8–16 weeks
Discovery (2 weeks)
Analysis of the business domain, current systems, load and SLA requirements.
Architecture (1–2 weeks)
Service decomposition, integration map, migration plan, risk assessment.
Build (4–10 weeks)
Two-week sprints. Every module goes to staging with automated and load tests.
Launch & Support
Phased rollout, monitoring, on-call support (8/5 or 24/7).
Technology
What we build with
Packages
Honest pricing, transparent scope
Java is almost always a long-term engagement. Packages here are collaboration formats.
Audit
Audit of a legacy system: architecture, performance, security, risks.
1–2 weeks
- Code and architecture review
- Performance benchmarks
- Prioritised technical debt list
- Refactor / modernisation roadmap
- Cost estimate for next steps
Build / Modernize
Build a new service or migrate part of a legacy system into a new architecture.
2–4 weeks
- Dedicated team (2–4 engineers)
- Microservices on Spring Boot / Quarkus
- Integrations via Kafka, REST, gRPC
- CI/CD, monitoring, documentation
- Tests + load benchmarks
- 3 months of support + SLA
Dedicated Team
An engineering team on retainer to evolve your product.
from 3 months
- 2–6 senior engineers in your process
- Architect / tech lead for coordination
- Integration into your Jira / GitHub / Slack
- Regular reviews and reports
- Flexible scope month over month
- 24/7 SLA with guaranteed response time
Case study
Banking monolith migration to microservices
Extracted auth and payments into separate Spring Boot + Kafka services. Production incidents dropped 68%, releases moved to weekly.
FAQ