Cloud and DevOps Consulting Services

Yes. We cover assessment, target architecture, the migration itself, and post-cutover support. We can also work alongside your engineering team where you want to stay involved in specific phases, which is common and usually sensible. Your team holds the context about why the current system is shaped the way it is, and that knowledge is expensive to transfer. A frequent split gives us the migration architecture and the platform work, while your team keeps the application-level changes and the testing against real business processes. What matters more than the exact division is that one person is accountable for the cutover sequence and the rollback plan. We are happy to hold that or to support someone on your side who does, but it should be explicit before work starts rather than assumed.

AWS, Microsoft Azure, and Google Cloud Platform, plus multi-cloud arrangements and hybrid environments that mix cloud with on-premises infrastructure. In practice the provider matters less than people expect: the services differ in naming and detail, but the architectural decisions (how you handle state, networking, identity, and deployment) transfer across all three. Where it does matter is existing commitments and team familiarity. If your team already knows AWS, moving to GCP for a marginal feature advantage usually costs more in ramp-up than it returns. On multi-cloud specifically, we would push back before agreeing to it. Genuine multi-cloud doubles your operational surface and is justified by a real constraint such as a regulatory requirement or a customer mandate, not by a general wish to avoid lock-in.

A single small workload typically moves in three to six weeks. A full data centre migration for a mid-size company usually runs three to six months. The variables that actually move that range are rarely the ones people expect: raw server count matters far less than the number of undocumented dependencies between systems, how much of the estate can be moved as-is versus needing refactoring, and whether the business can tolerate a change freeze during cutover. Applications with hard-coded connection strings, shared file paths, or licence keys tied to specific hardware are the usual sources of delay. We front-load dependency mapping for that reason, because a discovered dependency in week two is a planning item and the same dependency in week twelve is an incident. Migrations that finish on schedule are almost always the ones that spent longer on discovery.

Yes. We review resource utilisation against actual usage, identify idle and oversized instances, find orphaned storage and forgotten environments, and assess reserved instance or savings plan opportunities. Most accounts we audit have somewhere between 20 and 40 percent in recoverable spend, and that range is less impressive than it sounds. It is typical across the industry rather than a sign that anything was done badly. Cloud bills grow through ordinary decisions: an instance sized generously during a launch and never revisited, a test environment nobody turned off, storage from a project that ended. The savings that persist are the structural ones, such as right-sizing and lifecycle policies, rather than one-off cleanups that quietly refill within a year. We rank findings by monthly saving so the list is actionable rather than exhaustive.

Yes. Post-migration managed cloud operations cover monitoring, patch management, periodic cost review, and on-call support, and this can run alongside or be bundled with a managed IT engagement. It is worth considering seriously rather than treating it as an upsell, because the failure mode after a migration is well established: the new environment is handed over, nobody owns it day to day, configuration drifts away from what is in the repository, and within a year the estate is again only reproducible by one person from memory. Ongoing operations exist to prevent that drift. If you would rather run it yourself, that is a legitimate choice and we will document the environment thoroughly enough that you can. The test being whether your team can rebuild a non-production environment from the repository without calling us.