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What we do·Engineering & Cloud·Backend

Backend & APIs.

Service architecture that stays boring under load.

Backends are where we started and where our longest engagements still live. .NET first, meaning ASP.NET Core, EF Core and Azure, because that is what runs the payrolls, policies and plants that cannot go down. Then Java, Go and Node where the job wants them. Event-sourced cores, queues that absorb Black Friday, and services small enough to reason about at 3am. Which is the only time it matters.

Scope it with an engineerSee the proof
99.98%
ONE platform uptime since launch
180ms
p95 dispatch latency at 42k routes / day
1.2M LOC
insurance core moved to .NET 8, zero release freezes

How we approach it

.NET services and backend architecture.

.NET services on ASP.NET Core and EF Core, Azure-native by default, with the patient migration paths from .NET Framework to modern .NET. Alongside it: Java, Go and Node service architecture, event sourcing and CQRS where earned, gRPC meshes, PostgreSQL at scale, queue and stream design on Kafka and NATS, and observability as a first-class deliverable.

  • .NET Framework to .NET 8 in place, without a release freeze
  • Event logs you can replay to reconstruct any state
  • Idempotency and backpressure designed in
  • p99s tracked from the first deploy
  • The ONE platform: 99.98% uptime is the reference

Proof

We've shipped this before.

LOYALTY · 6 YEARS

ONE

From zero to unicorn in eighteen months.

Read the case →

LOGISTICS · 10+ YEARS · INCEPTION → IPO

Confidential

From inception to IPO.

Read the case →

FAQ

Before you ask.

Why .NET first?
Because the systems that cannot go down mostly run on it: insurance cores, ERPs, plant control, and our C# seniors have spent their careers inside them, shipping like a product team. When the brief is a Go control plane or a Node edge, we staff that instead. The architecture habits are the same; only the runtime changes.
Microservices or monolith?
The smallest architecture that survives one production incident. Usually that’s a modular monolith plus two or three genuinely separate services, whatever the language.
Do we actually need event sourcing?
Only where replay earns its rent. ONE’s dispatch state had to be reconstructable to the second; your admin CRUD doesn’t. We show the trade-off with numbers before writing a line of it.
Which queue, Kafka or NATS?
Kafka when the log is the product and you will replay it; NATS when you want a fast, small fabric between services and can live without a durable history. We have run both in anger and will say which one your traffic actually needs.

How we approach it

.NET services and backend architecture.

.NET services on ASP.NET Core and EF Core, Azure-native by default, with the patient migration paths from .NET Framework to modern .NET. Alongside it: Java, Go and Node service architecture, event sourcing and CQRS where earned, gRPC meshes, PostgreSQL at scale, queue and stream design on Kafka and NATS, and observability as a first-class deliverable.

ONE platform uptime since launch
99.98%
p95 dispatch latency at 42k routes / day
180ms
insurance core moved to .NET 8, zero release freezes
1.2M LOC

Proof

We've shipped this before.

LOYALTY · 6 YEARS

ONE · From zero to unicorn in eighteen months.

LOGISTICS · 10+ YEARS · INCEPTION → IPO

Confidential · From inception to IPO.

FAQ

Before you ask.

Why .NET first?
Because the systems that cannot go down mostly run on it: insurance cores, ERPs, plant control, and our C# seniors have spent their careers inside them, shipping like a product team. When the brief is a Go control plane or a Node edge, we staff that instead. The architecture habits are the same; only the runtime changes.
Microservices or monolith?
The smallest architecture that survives one production incident. Usually that’s a modular monolith plus two or three genuinely separate services, whatever the language.
Do we actually need event sourcing?
Only where replay earns its rent. ONE’s dispatch state had to be reconstructable to the second; your admin CRUD doesn’t. We show the trade-off with numbers before writing a line of it.
Which queue, Kafka or NATS?
Kafka when the log is the product and you will replay it; NATS when you want a fast, small fabric between services and can live without a durable history. We have run both in anger and will say which one your traffic actually needs.

Tell us the hard part.

A 30-minute call with an engineer, not a salesperson. Honest scoping, real dates.

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