Scope
Public cloud service: an end-to-end cloud adoption program covering workload assessment, landing zone design, controlled migration and the cost, security and operational governance that follows.
A public cloud operating model that unlocks scalability quickly — with cost and security governance in place from the start.
Public cloud service: an end-to-end cloud adoption program covering workload assessment, landing zone design, controlled migration and the cost, security and operational governance that follows.
Review the technical guides that simplify the purchasing decision to clarify your project scope.
Public cloud solutions are designed for organizations with fluctuating capacity needs, a desire to launch new services quickly, and a goal of stepping out of the hardware investment cycle. A fast start, however, often ends in uncontrolled spend and scattered security configuration. The first goal is to establish cost and governance discipline without losing scalability.
The most common themes in these projects: monthly bills higher than expected, unowned resources, non-standard subscription and tagging structures, and fragmented identity/access policies. In the AnatoliaCore approach these issues are closed through a measurable roadmap rather than one-off actions; impact analysis is performed at every step, changes are applied with a rollback plan and results are reported.
The technical approach balances scalability, security, compliance and cost predictability together. For each workload, the decision to rehost, replatform or leave in place is made with its rationale. Platforms frequently used in this service: Microsoft Azure, Microsoft 365 and Entra ID; Veeam on the backup side.
Example scenario: in an organization with seasonal load peaks, test and reporting workloads move to the cloud while the production database stays in place; a subscription/tagging standard is established and monthly cost reporting goes live in the first quarter.
Cloud cost is not a one-off negotiation but an ongoing governance topic. A tagging standard, budget alerts, a reservation/discount plan and a monthly review rhythm are established together.
Within Public Cloud Solutions, the “Cost Governance and the FinOps Cycle” decision is clarified by reading current environment data, the responsible team and the verification criteria together.
An identity-centric access model, network boundaries, log collection and policy auditing are standardized; the goal is for newly created resources to comply with policy automatically.
Within Public Cloud Solutions, the “Security, Identity and Governance Standards” decision is clarified by reading current environment data, the responsible team and the verification criteria together.
Subscription boundaries, naming, tagging and the policy set are defined from the start so that growth and cost can be tracked. Boundaries between environments are enforced technically.
Inventory and landing zone in the first 30 days, the first migration wave and its verification at 60 days, and a cost and performance reporting standard at 90 days.
No. Consistently high-utilization, latency-sensitive workloads or those with strict data-residency requirements often run more cost-effectively in a private cloud. The decision is made per workload.
The most common causes: unowned resources, incorrect sizing, unused disks and IPs, and the absence of a reservation/discount plan. The FinOps cycle makes these items visible.
Migration is split into waves, and each wave is planned with verification points and rollback conditions. For critical workloads, the downtime window is agreed in advance.
Yes. Critical data can stay on-premises or in a private cloud while elastic capacity is served from public cloud; connectivity, identity and data-flow policies are planned together.
The responsibility matrix is written down in the project; on request, monitoring, updates and cost reviews continue as a managed service.
A quote is not only a product or effort line item; it is read together with technical boundaries, risks and the post-delivery operating model.
For Public Cloud Solutions, the current state, critical connections and target architecture are read in a single view.
In the Public Cloud Solutions decision, impact, ownership and closing criteria are clarified in advance.
Public Cloud Solutions implementation steps are prepared with verification points and rollback conditions.
After go-live, Public Cloud Solutions makes responsibilities and the measurement rhythm visible.