We design and run cloud infrastructure for connected-product workloads, where traffic is device-driven, bursty and unforgiving of downtime. The goal is infrastructure that scales with the fleet and costs what it should.

For teams already running in the cloud, we start with a cost and reliability review — usually the fastest route to a measurable result.

Discuss your project
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What this covers

Infrastructure setup

Scalable, reproducible environments defined as code rather than assembled by hand in a console.

Migration

Planned, staged migration of applications and data with rollback at every step.

Cost optimisation

Right-sizing, reserved capacity and architecture changes that cut spend without cutting headroom.

Monitoring and support

Metrics, logging and alerting with defined escalation, so problems surface before customers report them.

Security and compliance

Least-privilege access, encryption in transit and at rest, audit logging and policy enforcement.

Deployment automation

Containerised, versioned releases with repeatable promotion from development to production.

How we approach it

  1. Review and baseline

    For existing estates we start by measuring what you are running, what it costs and where it is fragile. This usually funds the rest of the work by itself.

  2. Architecture

    Design sized for device-driven, bursty workloads, with clear boundaries between ingest, processing and storage so each can scale on its own.

  3. Implementation as code

    Environments defined in infrastructure as code so they are reproducible and reviewable, not assembled by hand in a console and impossible to recreate.

  4. Operations and handover

    Monitoring, alerting and runbooks, with your team trained to run it — or a support arrangement if you would rather we did.

What you receive

  • Architecture documentation with the reasoning behind key decisions
  • Infrastructure as code in your repository
  • CI/CD pipelines with a tested rollback path
  • Monitoring, logging and alerting with defined escalation
  • Cost baseline and optimisation report with measured savings
  • Runbooks and handover training

Platforms and standards

  • AWS
  • Microsoft Azure
  • Google Cloud
  • Docker
  • Kubernetes
  • Terraform
  • CloudFormation
  • CI/CD pipelines
  • Observability
  • Cost optimisation
  • Self-hosted deployment

Industries we deliver this for

  • Connected products
  • Industrial automation
  • Manufacturing
  • Logistics
  • Enterprise IT

Common questions

Can you reduce what we currently spend?

Usually, and it is the fastest way to demonstrate value. Most savings come from right-sizing over-provisioned resources, correcting storage tiers and retention, and committing to capacity you demonstrably use. We report savings as measured figures, not projections.

Do we have to move everything to the cloud?

No. Some workloads are cheaper and simpler on-premise or at the edge, particularly steady high-volume processing. We will tell you when moving something is not worth it — a hybrid split is often the right answer for connected-product companies.

How do you handle data residency requirements?

Region selection, data classification and, where necessary, self-hosted or in-country deployment. For customers with contractual restrictions on where telemetry may be stored, we design the split explicitly rather than assuming a single global region.

What happens if we want to bring this in-house later?

You can. Everything is defined as code in your repository and documented with runbooks, and we deliberately avoid managed services that would make an exit disproportionately painful. Handover training is part of the engagement.

Talk to the engineers who will do the work

No account managers in the middle. Share your requirement and you will get a technical response, with an honest view of scope and timeline.

Start the conversation

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