Service Pillar 01 of 06

Production systems that survive a decade and 100x scale.

We design and ship Java microservices, .NET frameworks, and modern integration patterns for enterprise teams. Event-driven, observable, testable, boring in the best way — the kind of systems your senior engineers will still be proud of in five years.

What we do

The depth of engineering we bring to a system you'll be running for a decade. Every capability below is something we've shipped to production for a regulated enterprise.

Java microservices

Spring Boot 3 / Quarkus / Micronaut — JVM platforms tuned for low-latency, high-throughput workloads. Reactive streams where they fit, blocking where they don't, never both in the same service.

.NET modernization

.NET 8 / 9, ASP.NET Core, EF Core. Lift legacy WebForms / WCF systems forward without freezing the business. Strong-typed, async-first, container-ready.

Event-driven architecture

Kafka, NATS, Pulsar, RabbitMQ. Saga patterns, event sourcing where it earns its keep, CDC pipelines from legacy data stores. Replayable, auditable, debuggable.

API platforms (REST, gRPC, GraphQL)

OpenAPI-first contracts, gRPC for internal high-throughput RPC, GraphQL for federated client experiences. Consistent error models, versioning that doesn't break clients.

Integration patterns

EAI, ESB modernization, iPaaS adoption (MuleSoft, Boomi, Workato). Or, more often, replacing brittle ESBs with event-driven services that don't need a vendor's middleware.

Test & release engineering

Contract testing (Pact), property-based testing, integration suites that mirror production topology. Pipelines that produce confidence, not theatre.

How an engagement runs

Four phases. Output of each is something you can take in-house if we ever part ways.

PHASE 01

Assess

Two-week deep dive across the codebase, the team, the deploy pipeline, the data model. We give you a written report on what's working and where the leverage is.

PHASE 02

Design

Reference architecture document. ADRs. Tradeoff matrix. Cost projections. Migration path with rollback at every step. Reviewed by your senior engineers before any code.

PHASE 03

Implement

Embedded engineering — your repos, your standups, your code review process. Pair-programming so knowledge transfer is real-time, not in a closing-out doc.

PHASE 04

Operate

30/60/90-day operate-with engagement. Your team owns production; we sit shadow on-call. By day 91 we leave runbooks, dashboards, and the team confidence that you don't need us.

Technologies in our daily kit

What we ship to production every week — not a marketing matrix.

Java 21
Spring Boot
Quarkus
Micronaut
.NET 9
ASP.NET Core
EF Core
Kotlin
Scala
TypeScript
gRPC
GraphQL
OpenAPI
Kafka
NATS
RabbitMQ
Pulsar
PostgreSQL
MongoDB
Redis
Cassandra
Elasticsearch
Pact
JUnit 5
xUnit

Selected work

Three representative engagements. Names anonymized; outcomes verifiable on request under NDA.

HealthcareJavaFHIR

FHIR-native patient record platform — regional health network

Problem
Legacy HL7 v2 integrations across 14 EHR vendors. Patient record reconciliation took analysts 30+ minutes per case. New FHIR-based payer mandates were 18 months out and the team had no clear migration plan.
Approach
Spring Boot + HAPI FHIR server with a Kafka-backed event spine. CDC from legacy stores into a normalized FHIR resource graph. Bi-directional adapters per EHR vendor, written once, reused via interface contracts.
Outcome
Reconciliation time 30+ min → 4 sec. FHIR R4 payer compliance shipped 6 months ahead of mandate. The vendor-adapter pattern now serves as the platform's extension model — three new EHR integrations added in the year after launch with zero core changes.
Finance.NETEvent Sourcing

Audit-grade transaction ledger — mid-size commercial bank

Problem
Core ledger was a 20-year-old stored-procedure stack. Year-end audit took 6 weeks. Real-time fraud rules couldn't be added without DBA intervention. Reconstructing historic states for regulatory inquiries took days.
Approach
.NET 8 event-sourced ledger on top of EventStoreDB and PostgreSQL projections. Strangler pattern migration — new transactions written to the new system, legacy reads served from projections. Full audit trail materialized as immutable event log.
Outcome
Audit time 6 weeks → 8 days. Historical state reconstruction via event replay — answers regulator queries in minutes. Fraud rules now ship as event-stream consumers, deployable independently of the ledger core.
TelecomgRPCHigh-throughput

Real-time billing rating engine — Tier-1 mobile carrier

Problem
Batch-based rating engine couldn't keep up with 5G data plans needing per-second billing granularity. End-of-day batches were missing windows. Customer self-service usage views were 24h stale.
Approach
Java + Quarkus rating engine, gRPC for internal carrier-network calls, Kafka for usage event ingestion. Tiered storage — hot in Redis, warm in Cassandra, cold in S3. Replay capability for retroactive plan changes.
Outcome
Per-second rating at 10⁹ events/day sustained. Customer-facing usage view refreshed in <3 seconds. End-of-day batch eliminated; close-of-business is now an SLA, not an event.

Need this for your platform?

30-minute call, senior architect, no slides. We'll tell you on the first call whether this is something we'd ship well.