Spring development services
Spring is the default for serious JVM backends. It is verbose by modern standards, and it is also what you want when transactions, integrations and audit trails are non-negotiable.
Where we use Spring
Spring is part of the stack on these 2 services. Each page covers how we work, what you get and what it costs to start.
Spring in practice
Spring is what serious JVM backends are built on, and Spring Boot removed the configuration burden that gave the older framework its reputation. What you get is declarative transactions, a mature persistence layer, first-class security and production endpoints for health, metrics and tracing — the things an operations team asks for before a system is allowed near production.
It is verbose by modern standards, and that verbosity is the point in the environments where it wins. When a bug can mean a misposted payment or a compliance finding, explicit beats concise. Kotlin removes a good deal of the ceremony without giving up any of the guarantees, which is why we increasingly write Spring services in it.
What we build with Spring
Spring Boot services with the transactional and security guarantees regulated environments require.
The tier that connects ERPs, banks and partner systems and keeps their quirks out of the product.
Service discovery, configuration and resilience patterns applied consistently across many small services.
Is Spring right for you?
Ask usA good fit when
- Financial, insurance, healthcare or public-sector systems with real compliance requirements
- Complex transactional behaviour across several data sources
- An existing JVM estate the new service has to live inside
- Operations teams who expect health, metrics and tracing endpoints as standard
Probably not when
- A small startup MVP that needs to be in front of users in weeks
- A team with no JVM experience and no appetite to build it
- Serverless workloads where cold-start time is a primary constraint
- A simple CRUD API where the framework’s weight buys you nothing
What we run alongside Spring
The rest of the setup, and why each piece is there. We keep this list short on purpose — every dependency is something someone has to maintain.
- Spring Boot
- The starting point. Sensible defaults and no XML, which is what changed Spring’s reputation.
- Spring Data JPA
- Repository abstractions over the database, with the escape hatch to raw SQL when needed.
- Spring Security
- Authentication and authorisation as a framework concern rather than a per-project invention.
- Flyway or Liquibase
- Versioned schema migrations, applied in a controlled order on every environment.
- Testcontainers
- Integration tests against a real database in Docker, not an in-memory approximation.
- Micrometer
- Metrics that feed Prometheus or Datadog without instrumenting everything by hand.
Why Spring
Let’s talkTransaction handling that is trustworthy
Declarative transactions and mature persistence are the reason financial systems keep landing here.
Security is a first-class module
Authentication, authorisation and audit are framework concerns rather than per-project inventions.
Production observability
Health, metrics and tracing endpoints come with the framework, so operations teams get what they need by default.
What we get called in to fix
Get a second opinionTransaction boundaries in the wrong place
Annotations that do not apply because of self-invocation or proxy rules, so a rollback silently does not happen.
Lazy-loading exceptions
Entities used outside their session, producing errors that only appear on certain code paths in production.
Dependency and version drift
Applications pinned to an unsupported Spring Boot line, where every security patch becomes a negotiation.
Slow startup and bloated context
Everything eagerly loaded because nobody revisited the configuration. Measurable, and usually reducible.
Spring or the alternative
The comparisons we are actually asked to make, answered the way we would answer them on a call.
Quarkus starts faster and uses less memory, which matters in serverless and dense container deployments. Spring has the deeper ecosystem and the larger hiring pool.
Spring where transactional correctness and audit are the requirement. Node where I/O throughput and developer velocity matter more than formal guarantees.
Kotlin for new services — shorter, null-safe, fully supported by Spring. Java where the surrounding estate and team standards make it the lower-friction choice.
Spring works well with:
AWS
Azure
Django
Go
Google Cloud
Java
JavaScript
Laravel
MongoDB
MySQL
Node.jsGot an idea? Let’s make it real.
Tell us the short version
This could be the first step towards a new and successful collaboration. A one-line idea and a finished spec are both fine — tell us the problem, the deadline you’re working to and what’s in your way.
Keep looking
Frequently asked questions
Spring Boot for anything new. It removes the configuration burden that gave plain Spring its reputation.
Yes, and it is a good pairing — Spring supports Kotlin properly and the code gets considerably shorter.
Yes. We start with a dependency and version audit, because that is where the risk in older Spring estates concentrates.
Yes, and we often recommend it. Spring supports Kotlin as a first-class language and the code gets considerably shorter without losing guarantees.
Flyway or Liquibase in the deploy pipeline, with backward-compatible changes so a rollback never leaves the schema ahead of the code.