What this covers
- Cloud architecture for new systems, and migration for systems currently sitting under someone’s desk
- Infrastructure as code, so environments are rebuilt from a repository rather than remembered
- CI/CD pipelines that test, build, and deploy automatically, with a rollback that takes one action
- Containers and orchestration where they earn their complexity — and a straightforward alternative where they do not
- Monitoring, logging, and alerting that reaches a person before your customers do
- Cost review, because cloud bills grow quietly and most contain something nobody has used for months
How we approach it
Migrations move in stages with a way back at every step. Anything that requires a single irreversible weekend cutover has been designed wrong, and we would rather take longer than put your business in that position.
Access follows least privilege. Every service gets its own identity with only the permissions it needs, secrets live in a managed store rather than in environment files, and production access is limited and logged. Long-lived credentials are removed wherever the platform offers a short-lived alternative.
Everything is defined in code and reviewed like code. That means an environment can be rebuilt from scratch, changes are visible before they apply, and disaster recovery is something we have actually tested rather than something we assume would work.
Tools we use for this
The platforms we reach for on this kind of work. The right choice depends on what you already run, and we will tell you when your existing tooling is the better answer.
- AWS
- Google Cloud
- Microsoft Azure
- DigitalOcean
- Vultr
- Akamai
- Proxmox
- VMware
- Nutanix
- Docker
- Kubernetes
- Podman
- Portainer
- Helm
- Istio
- Argo
- Rancher
- Terraform
- Ansible
- Jenkins
- GitHub
- GitLab
- Datadog
- Prometheus
- Grafana
- New Relic
- PagerDuty
- Sentry
- Vercel
Common questions
Which cloud provider should we be on?
Usually the one your team already understands. The differences matter far less than the operational habits around them. Where you have a specific requirement — Microsoft licensing, data residency, an existing commitment — that decides it, and we will explain the trade-off either way.
Can you reduce what we are already spending?
Frequently. Oversized instances, storage nobody has read in a year, and environments left running since a project ended are the usual culprits. A cost review identifies them and tells you what each change saves against what it risks.
Do we need Kubernetes?
Probably not, and we will say so if that is our honest read. It solves real problems at real scale and adds significant operational overhead below it. Plenty of production systems run perfectly well on managed container services with a fraction of the complexity.
Talk to us about cloud & devops
Tell us what you are trying to achieve and we will tell you honestly whether we are the right fit. We reply within 1 - 2 business days.
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