Sovereign Application Development

Applications That Harness
the Full Power of Your Cluster.

Go backends. React frontends. Built to exploit Kubernetes topology — local LLMs, split database connections, zero egress. Not just deployed on Kubernetes. Designed for it.

Trusted by Leading Organisations

The Difference

“Most applications are built for the cloud and bolted onto Kubernetes as an afterthought. We build the opposite: applications that treat the cluster as the platform — exploiting internal DNS, GPU nodes, and replica topology as first-class architectural decisions.”

The Core Differentiator

What Cluster-Aware Architecture Looks Like

Three concrete examples. Each one shows a decision that only makes sense when you own the cluster topology.

Database

Three Endpoints. One Cluster. No Bottleneck.

When your cluster hosts primary and replica PostgreSQL nodes, your application can route traffic at the code level — not through a load balancer you pay per query for.

// Writes — strict consistency

postgres-primary.db.svc.cluster.local

// Read queries — horizontal scale

postgres-replica.db.svc.cluster.local

// Heavy aggregations — isolated

postgres-analytics.db.svc.cluster.local

→ Result: no connection pool bottleneck, no noisy-neighbour query killing your write latency.

AI Inference

Local, Not API. Microseconds, Not Milliseconds.

Your application calls an internal HTTP endpoint. The model runs on your GPU node. Zero tokens leave the cluster. Zero per-call cost. Swap the model without touching application code.

// Internal cluster endpoint

llm-service.ai.svc.cluster.local

// vs. external API

api.openai.com — 800ms round-trip

// latency

<5ms vs 800ms

→ Result: AI features that feel instant, cost nothing per call, and never expose your data.

Service Mesh

Right Tool Per Operation. Nothing Exposed Unnecessarily.

Public BFF handles auth and rate limiting. Internal services communicate over cluster DNS. Storage calls go to an S3-compatible endpoint on the cluster. No egress fees, no external dependencies in the hot path.

// Public — auth + rate limiting

bff.public.svc.cluster.local

// Internal — no public exposure

service-a.internal.svc.cluster.local

// Storage — S3-compatible, on-prem

garage.storage.svc.cluster.local

→ Result: zero egress fees on internal traffic, minimal public attack surface.

The Stack

Technology Choices That Don’t Lock You In

Every component runs identically on bare metal or any Kubernetes cluster. No cloud SDK. No vendor assumptions.

🦲

Go Backend

ardanlabs/service patterns. Two-tier API: public BFF + private internal services. PostgreSQL + pgvector. Zero cloud SDK dependencies — runs identically on bare metal or any Kubernetes cluster.

⚛️

React Frontend

React 18, Vite, TanStack Query. Optimised for self-hosted CDN. No vendor lock-in at the frontend layer. Deployed as static assets behind your ingress controller.

⎈️

Kubernetes-First Delivery

Helm charts, health probes, resource limits, HPA — shipped as part of the application. The cluster is the runtime, not the deployment target. Your ops team takes over from day one.

The Gap

Why Most Dev Shops Can’t Do This

A shop that builds for AWS will give you Lambda functions calling RDS through a NAT gateway, OpenAI for AI features, and S3 for storage. Move off cloud and the application falls apart — every service dependency is a US company’s managed offering.

We build without those assumptions from line one. The application works on bare metal, on any cloud, or in an air-gapped data centre. Portability is not an afterthought — it’s how the code is structured.

  • No AWS/GCP/Azure SDK in application code
  • PostgreSQL, not DynamoDB or Firestore
  • S3-compatible abstraction — works with Garage, MinIO, or AWS interchangeably
  • LLM inference via internal cluster endpoint, not OpenAI/Anthropic API
  • Secrets via Kubernetes Secrets or Vault — not AWS Secrets Manager
  • Observability via Prometheus/Grafana — not CloudWatch

How We Work

Engagement Model

Fixed-price stages. Knowledge transfer built in. Everything delivered to you.

Pricing

Fixed-Price Stages, Not Open-Ended T&M

Each stage is defined, scoped, and priced before we start. You pay on delivery. No surprise invoices, no scope creep, no hourly billing that compounds over months.

Knowledge

Transfer Included as Standard

Your engineers learn the codebase by building it with us. We write documentation for your team, not our archive. By handover, your team is self-sufficient.

Ownership

All Code Delivered to You

Helm charts, CI/CD pipelines, infrastructure-as-code — everything is yours at completion. No vendor lock-in, no ongoing licence, no hostage code.

Retainer

Optional Support After Delivery

Fixed-rate monthly retainer available for the next-level problems that come up after go-live. Optional — not a requirement. You can walk away fully self-sufficient.

Most Powerful With

This service is most powerful when the infrastructure underneath is also ours to design. If you’re running bare metal Kubernetes at NEXTDC, the cluster topology your application exploits is one we built and understand end to end. Every architectural decision — from DNS naming to GPU node affinity — is made in the same conversation.

Learn about our infrastructure service →

Ready to Build for the Cluster?

Tell us what you’re building. We’ll scope it, price it, and start delivering.