Cloud and DevOps engineering, from migration to FinOps

A single application with a clean architecture can move in weeks. A full estate is a programme measured in quarters, and the honest answer depends on how many workloads there are, how much of the codebase assumes the current environment, and how much can move as-is versus needing rework. We start with an assessment that classifies every workload and gives you a sequenced plan with a cost model attached.

In order: make spend visible and attributed, remove what nothing uses, rightsize what is oversized, then commit to reserved or savings-plan capacity for the stable baseline. Architectural change — storage tiering, autoscaling, moving batch work to spot capacity — comes last, because it carries the most risk for the return. Most estates find double-digit percentage savings before reaching that step.

Often not. If you run a handful of services, a managed container or serverless platform will cost less to operate and need far less expertise to run safely. Kubernetes pays off when you have many teams deploying many services and need a consistent platform underneath them. We will tell you which side of that line you are on, including when the answer costs us work.

Usually the one your team already knows, unless a specific requirement overrules it — data residency in a particular jurisdiction, a managed service that has no equivalent elsewhere, or existing enterprise agreements. Multi-cloud as a default is expensive and rarely earns its complexity; multi-cloud for a stated reason is fine.