Cloud Solutions

The choice depends on your existing tools, team familiarity, and workload — AWS for broad service coverage, GCP for data-heavy workloads, Azure for Microsoft-stack shops. I don't default to one provider regardless of fit; the architecture is picked to match what you're actually running, and if you already have infrastructure on one platform, I build within it rather than forcing a migration.

A straightforward deployment pipeline and hosting environment typically takes two to four weeks; multi-service architectures with databases, load balancing, and disaster recovery run six to ten weeks. Timeline depends on how many services need to talk to each other and how much existing infrastructure has to be migrated. You get a specific estimate after a technical scoping call, not a generic range.

The engagement covers architecture, setup, and deployment pipelines — it doesn't include day-to-day server administration or on-call incident response unless bundled separately. Once infrastructure is live and documented, your team can run it, or it can be handed off to my maintenance and hosting plans. This is scoped explicitly upfront so there's no ambiguity about who's responsible after launch.

Pricing is project-based for the architecture and setup work, quoted after a scoping call that maps your services, traffic expectations, and compliance needs. Ongoing cloud provider costs — compute, storage, bandwidth — are separate and billed directly by AWS, GCP, or Azure to your account, not marked up by me. Optional ongoing management is a separate monthly retainer if you want it.