Editorial draft: review before publishing.
Most organizations do not decide to become multi-cloud — they drift into it. A team adopts a SaaS product, another builds on a hyperscaler, a regulated workload stays with a local provider. Before long, the company runs on several platforms without a shared way of governing them.
Start with the workload, not the vendor
A useful multi-cloud strategy starts by classifying workloads: what must stay close to users or data in Georgia, what benefits from global managed services, and what is portable enough to move. That map — not vendor preference — should drive placement decisions.
Standardize the layers above the cloud
Identity, networking, observability, infrastructure as code and cost reporting are where consistency pays off. When these layers are shared, teams can use the strengths of each platform without rebuilding operations every time.
Use local and global providers together
For many Georgian organizations the most pragmatic model is hybrid: local infrastructure for data residency, latency-sensitive systems and predictable workloads, combined with global platforms for elastic compute, analytics and AI services.
These are exactly the trade-offs CloudFest Georgia brings to the stage — with global vendors and local providers in the same room.