Dark data centre corridor lit by warm amber light

Cloud · DevOps · AI Engineering

Engineering the foundation for what's next.

Aspiron designs and builds reliable cloud platforms for engineering teams that have outgrown their infrastructure — from architecture and Terraform to Kubernetes, DevOps and AI workloads.

  • AWS
  • Azure
  • Kubernetes
  • Terraform
  • GitHub Actions

Start here

Not sure what's holding your infrastructure back? Start with an assessment.

Our Infrastructure Review gives your engineering team a clear picture of what is costing you money, creating risk and slowing down development — plus a practical roadmap for what to fix next.

Full scope of the review

Aspiron Infrastructure Review

2 weeks · Fixed scope · No long-term commitment

  • Cloud architecture review
  • Infrastructure / Terraform review
  • Kubernetes & container review
  • CI/CD assessment
  • Security & reliability review
  • Cloud cost analysis
  • Observability review
  • Engineering bottleneck analysis
  • 90-day improvement roadmap
  • Architecture recommendations

Starting at €3,000

Book an Infrastructure Review

Solutions

Problems we are usually called in to solve.

01

Your cloud bill is growing faster than your business.

Cloud Cost Optimization

We identify waste, architectural inefficiencies and unnecessary infrastructure costs while preserving performance and reliability.

Optimize My Cloud
02

Your engineers are spending too much time on infrastructure.

Platform Engineering

We build internal platforms that let developers ship faster without constantly managing infrastructure.

Build Our Platform
03

Kubernetes has become a platform nobody wants to touch.

Kubernetes Engineering

Production-grade Kubernetes architecture, deployment, security, observability and operations.

Fix Our Kubernetes
04

Your deployments shouldn't require heroics.

DevOps & CI/CD

Reliable automated delivery pipelines designed for fast, safe and repeatable releases.

Improve Our Delivery
05

You're building AI, but production infrastructure is unclear.

AI Infrastructure

We design production-ready infrastructure for AI applications, RAG systems, inference workloads and AI-enabled products.

Build Our AI Platform
All solutions

Who we help

Built for teams at the next stage of growth.

Scaling SaaS teams

Your application is growing faster than your infrastructure practices.

AI companies

You're moving from AI prototypes to production workloads.

Engineering teams

Your developers are becoming infrastructure operators by necessity.

CTOs & technical founders

You need senior infrastructure expertise without building an entire platform team.

If your engineering team is growing faster than your infrastructure, we should talk.

The cost of doing nothing

Infrastructure problems compound.

Rising cloud costs

Infrastructure grows without governance.

Slower engineering

Developers spend time fixing infrastructure instead of shipping product.

Production risk

Manual processes and fragile systems create unnecessary downtime.

Scaling complexity

The architecture that worked with 10 engineers doesn't work with 50.

Aspiron turns infrastructure from a bottleneck into an engineering advantage.

How we work

Diagnose before prescribing. Hand over before leaving.

01

Diagnose

We understand your architecture, engineering workflow, infrastructure and business constraints before proposing anything.

02

Design

We define the target architecture and prioritise the changes that matter, with trade-offs and costs made explicit.

03

Build

We implement the platform, automation and infrastructure alongside your team — in your repositories, in your accounts.

04

Handover

Documentation, knowledge transfer and operational ownership are part of the engagement, not an upsell at the end.

We are not trying to become a permanent dependency. Everything lives in your repositories and your cloud accounts, and the engagement ends when your team can run it without us.

What you get

You don't just get infrastructure. You get clarity.

Architecture diagrams

Current and target state, kept in the repo next to the code.

Infrastructure as code

Terraform modules and environments you own and can re-apply.

Automated CI/CD

Build, test, scan, deploy and roll back without a human in the loop.

Monitoring & observability

Metrics, logs and traces wired to alerts that mean something.

Security controls

Least-privilege IAM, managed secrets and enforced network boundaries.

Documentation

Decision records explaining why the platform is shaped the way it is.

Runbooks

Step-by-step operational procedures for the failures you will actually hit.

Disaster recovery strategy

Backup policy, restore procedure and a drill that proves both work.

Cost visibility

Spend attributed to teams, services and environments — visible before the invoice.

Knowledge transfer

Pairing and handover sessions until your team runs it without us.

Work

The kind of engagements we run.

Case studies

Production Platform Architecture

Landing zone, network baseline and a Kubernetes platform delivered as reviewed infrastructure code.

  • AWS
  • Terraform
  • Kubernetes

Cloud Cost Optimization

Spend attribution, waste removal and architectural cost work with guardrails to keep it from regressing.

  • AWS
  • FinOps
  • Infrastructure

AI Production Platform

Retrieval pipelines, inference serving and evaluation moved from prototype scripts to production infrastructure.

  • Kubernetes
  • AI workloads
  • Observability

DevOps Transformation

Delivery rebuilt around fast pipelines, tested rollback and GitOps deployment.

  • Terraform
  • GitHub Actions
  • Kubernetes

Stack

Built with the technologies serious engineering teams use.

We pick boring, well-understood technology by default and reserve novelty for the places where it earns its keep.

  • AWS
  • Azure
  • Kubernetes
  • Terraform
  • Docker
  • GitHub Actions
  • Argo CD
  • Helm
  • PostgreSQL
  • Redis
  • OpenTelemetry
  • Grafana

Is infrastructure becoming a bottleneck?

Let's find out what's slowing your team down — and what to fix first.