Cloud Implementation & DevOps

For most workloads all three are capable, and the deciding factors are usually practical: what your team already knows, what your existing licensing makes cheaper, whether you need a specific managed service, and where you need data to physically reside. We would rather help you choose on those grounds than argue provider preferences.

Not always — it can be the right first step when a data centre contract is expiring and the deadline is real. But it should be understood as a first step. Moving servers unchanged typically costs more to run than the hardware it replaced, because cloud pricing rewards elasticity that a lifted workload does not use.

Frequently not. Kubernetes is genuinely good at running many services with varied scaling behaviour, and it carries real operational overhead in return. For a small number of services, a managed container platform or serverless functions will do the same job with a fraction of the maintenance. We will tell you which case you are in.

Yes, and it is common work. Runaway cost usually concentrates in a few specific places — oversized instances, storage that was never tiered, data transfer between regions, environments left running. Measuring where the money goes almost always precedes any architectural change.

It should become boring. Automated build, test and deploy with a rollback path means releasing is a routine action rather than a scheduled event, and that shift does more for reliability than most infrastructure changes.