Cloud and DevOps

Usually the one you already use, unless there is a clear reason to change. Amazon Web Services, Microsoft Azure and Google Cloud all run enterprise workloads well. The deciding factors are your existing contracts and skills, the managed services you need, data-residency rules and how your other systems connect. We work across all three and keep provider-specific code to the places where it is worth it.

The number of applications and environments, how far they are from automated deployment today, the compliance controls you must meet, and whether workloads move between providers or out of your own data centre. Ongoing operation is a separate decision: we can run the platform with you, or hand it over once your team is ready.

Often, but we will not promise a figure before we have looked. Common savings come from resources nobody uses, oversized instances, storage that never expires and environments that run when nobody is working. We tag spending by team and service first, so savings are measured rather than guessed, and we rank what we find by effort and risk.

We plan each move to avoid it, or to keep it short and scheduled. Workloads move one at a time, data is synchronised before the switch, and every step has a rollback path. Where an application cannot run in two places at once, we agree a maintenance window with you in advance and rehearse the switch first.

Identity comes first: single sign-on, least-privilege roles and no shared credentials. Networks are segmented, data is encrypted at rest and in transit, and secrets live in a managed vault. Guardrails block insecure configurations before they are deployed, pipelines scan code and images for known vulnerabilities, and audit logs are kept where nobody can alter them.

That is the aim. Everything is defined as code and documented, and your engineers review and approve changes with us from the start. We pair with them on incidents and releases, write runbooks for the common tasks, and step back as they take over. If you prefer us to keep running the platform, that can continue under a support agreement.

Yes. Under a support agreement we watch the alerts, respond to incidents within the response times we agree with you, apply security patches and keep the platform’s tools current. Every significant incident gets a written review of its cause and of the change that stops it happening again.

Where you decide. We agree the location of data before work starts and design for it, whether it must stay in one country, in your own cloud account or on your premises. Where data-protection laws such as the GDPR apply, we work under a data processing agreement and limit personal data to what the work needs.