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Turning Multi-Cloud Spend Into Accountable Architecture Decisions
CloudVerse connected provider-level spend to business ownership, application architecture, and prioritized optimization actions across 129 applications spanning four cloud environments.
At a glance
Industry
Telecommunications / Digital Services
Location
Southeast Asia
Successive Highlight
129 Applications
Mapped across AWS, Huawei Cloud, Google Cloud, and Cloudflare Edge
Rp8.48B/Year
Potential savings identified through seven commitment recommendations
About the Client
The client is a large digital and telecommunications organization operating across Southeast Asia with a complex multi-cloud estate. Its environment spans AWS, Huawei Cloud, Google Cloud, and Cloudflare Edge while supporting diverse business and engineering teams. Provider invoices showed total spend, but leaders lacked reliable accountability across divisions, applications, teams, and shared services.
About the Project
FinOps teams relied on provider billing consoles, incomplete tags, and manual reconciliation to explain costs across the environment. They could not consistently identify ownership, application cost drivers, or shared-service burdens across business units and engineering teams. The organization also lacked structured methods for assessing commitment coverage, Spot readiness, and architectural risks before optimization. This limited confident prioritization of savings opportunities across the estate.
Solutions Implemented
CloudVerse created a business-aligned cost model linking organizational structure, application architecture, and optimization controls across the estate. Teams could trace spend drivers, ownership, and recommended actions without relying on fragmented provider-level reporting or manual reconciliation.
Virtual Cost Views
Built application, directorate, organization, and team views, using inference rules to maintain accurate allocation when native cloud tags were incomplete.
Hierarchy Mapping
Mapped organizational spend from enterprise level to divisions, teams, and applications, with live drill-down into budgets, ownership, and configuration gaps.
Architecture Intelligence
Mapped 129 applications, separated direct and shared costs, scored compute fit, and surfaced application-specific architecture findings for prioritization.
WAF Assessment
Assessed six well-architected pillars and linked control failures to supporting evidence, helping teams address governance and architecture risks before optimization.
Optimization Controls
Evaluated commitment coverage and Spot readiness, applying guardrails to identify savings opportunities without bypassing workload risk and approval requirements.
Outcome
From Fragmented Billing to Accountable Multi-Cloud Economics at Enterprise Scale
Mapped 129 applications across four cloud providers, linking spend to business ownership, teams, and application-level cost profiles.
Identified Rp964.80M in direct application savings opportunities through architecture intelligence, compute-fit scoring, and shared-cost analysis.
Surfaced seven commitment recommendations worth Rp8.48B annually against Rp8.77B in eligible cloud spend across the environment.
Evaluated 204 workloads for Spot eligibility, revealing $12,795 to $22,204 in potential monthly savings under defined guardrails.
“Successive Digital gave our teams a practical way to connect cloud spend with ownership and architecture decisions. CloudVerse replaced fragmented reporting with a single operating view that finance and engineering teams could use consistently together. We can now trace cost drivers more quickly, understand the impact of shared services, and evaluate savings opportunities with clearer business context. The platform strengthens accountability and gives teams a consistent foundation for managing our multi-cloud environment as it evolves.”
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