Do we actually need Kubernetes?

Often not. Orchestration solves a scaling and resilience problem that many systems do not have yet. We will say so, and we will say when you have crossed the line.

Can CI/CD work for embedded projects?

Yes, and it is where the payoff is largest. A containerised toolchain makes every build reproducible, and a runner with a board attached turns tests into evidence rather than opinion.

What does a migration engagement look like?

An assessment of what runs today and what it costs, a target architecture, then a staged move — usually the least critical workload first, so the runbook is proven before it matters.

Do you hand over or stay?

Either. The infrastructure is described in code and documented, so a handover is a real option rather than a polite fiction.

How do you handle cost?

Cost optimisation is part of the design, not a later project. Most of the savings we find come from architecture decisions, not from resizing instances.

All Services

SERVICE CI/CD Kubernetes IaC

DevOps, Cloud & CI/CD Engineering

Pipelines, containers and infrastructure as code — including for teams that ship firmware.

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Delivery as an engineering problem

Most teams get the pipeline they can be bothered to build, which is usually a script on one engineer’s machine. It works until a release cannot be reproduced, or a regression is found by a customer rather than by a test.

Pipelines, containers, infrastructure

We build the delivery chain end to end: CI that builds and tests on every push, containers that make the build identical everywhere, Terraform modules that describe an environment once and reproduce it exactly, and observability that tells you what broke rather than that something did.

Cloud work spans AWS, Azure and GCP — migrations, cost models, and the architecture decisions that determine both.

The part most DevOps teams do not do

We came to DevOps from embedded systems, so our pipelines handle firmware as a first-class artefact: cross-compilation in a container, hardware-in-the-loop test stages running on real boards, signed images traceable to the commit that produced them. For a team shipping to a device fleet, that is the difference between a release process and a ritual.

Deliverables & Methodology

AWS Azure GCP Kubernetes Docker Terraform GitHub Actions GitLab CI Ansible Prometheus Grafana

What We Deliver

CI/CD pipelines

Build, test and release automated to the point where a manual step is an exception worth explaining.

Containers and orchestration

Docker and Kubernetes where they solve a real deployment problem — and a straight answer when they do not.

Infrastructure as code

Terraform modules so an environment is described once and reproduced exactly, not rebuilt from memory.

Cloud migration

Moving workloads to AWS, Azure or GCP with the cost model understood before the cutover, not after the first bill.

Embedded CI

Pipelines that build firmware in a container and test it on real boards. Rare, and the reason embedded releases stop being handmade.

Observability

Metrics, logs and alerts that tell you what broke, not that something did.

FAQ

Releases taking too long?

Tell us how a change reaches production today. The bottleneck is usually visible in the first conversation.

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Industries Served

Industrial IoT Smart Energy Medical SaaS

19+

Years experience

200+

Projects delivered

2M+

Deployed devices

Global offices