DigiUsher ingests native billing from AWS, Azure, GCP, OCI and Alibaba Cloud into one FOCUS-conformant store, with amortized, effective and billed cost reconciled.
The number finance reports and the number engineering optimizes become the same number, which is where most multi-cloud cost programs quietly fail.
Every provider lands in the same FOCUS schema, so a multi-cloud total is directly comparable rather than approximately aligned. A new provider is a connector, not a platform release, which is why the roadmap above is measured in weeks rather than versions.
Waste scenarios
Where the money actually goes.
Each scenario carries severity, saving and evidence, and becomes a pull request against the repository that owns the resource, applied only after human approval.
A single blended coverage figure cannot tell these apart. DigiUsher tracks
coverage and utilization separately, because 92% coverage on the wrong
instance family is a loss reported as a saving.
01
Compute rightsizing and scheduling
Non-production environments running twenty-four hours for an eight-hour working day are the largest single line of avoidable cloud spend in most estates. Schedules alone typically capture around 70% of non-prod compute cost. Rightsizing recommendations carry confidence intervals drawn from observed utilization, not vendor defaults.
02
Commitment management
Savings Plans, Reserved Instances and CUDs modeled against actual and forecast usage, with coverage and utilization tracked separately: high coverage on the wrong instance family is a loss dressed as a saving. Expiry calendars surface before renewal, not after.
03
Storage economics
Lifecycle policy gaps, orphaned snapshots, unattached volumes, over-provisioned IOPS and archive tiers nobody reads. Individually small; collectively a standing tax.
04
Network waste
Cross-AZ chatter between services that should be co-located, idle load balancers, NAT gateway egress, and inter-region replication configured once and never revisited.
05
License-inclusive instances
Windows, SQL Server and RHEL premiums paid on instances that could run BYOL or a license-free image, quantified per workload rather than per account.
Signature value metric
Cost per workload
Turns migration, consolidation and re-platforming debates from opinion into arithmetic. Because every domain shares one schema, this metric composes with the others into an AI-inclusive cost per customer: one formula, one auditable lineage.
Compose
Across domains
Cost per customer can include this domain's cost alongside cloud, AI
tokens, data credits, Kubernetes pods and SaaS seats. Point tools each
compute a fraction; one schema computes the whole number.
Verify
Savings that landed
Every optimization moves identified → applied → verified-realized, where
the third state means subsequent billing data confirms the reduction.
Most tools report the first and let you assume the third.
Ask
Conversationally
The full data model is exposed over the Model Context Protocol, so
Claude, Copilot, Gemini or an in-house LLM can answer questions about
this domain under the same role-based access control as the dashboards.
Frequently asked questions
Direct answers on cloud cost management.
Which cloud providers does DigiUsher support?
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AWS, Azure, Google Cloud, Oracle Cloud Infrastructure and Alibaba Cloud, all ingested natively into the FOCUS schema. Amortized, effective and billed cost are reconciled per provider, so multi-cloud totals are directly comparable rather than approximately aligned.
How does DigiUsher handle Savings Plans and Reserved Instances?
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Commitment inventory is modeled against actual and forecast usage, with coverage and utilization tracked as separate metrics. Expiry calendars surface ahead of renewal, and recommendations distinguish between buying more commitment and fixing the workload that made the commitment look necessary.
What is cost per workload?
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The total cost attributable to a deployable unit of software: its compute, storage, network, data and license lines combined. It is the cloud domain's signature value metric because it makes migration, consolidation and re-platforming decisions arithmetic rather than argument.
Does DigiUsher replace AWS Cost Explorer or Azure Cost Management?
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It supersedes them for anything cross-provider or value-oriented. Native tools are authoritative for their own provider and blind to everything else. They cannot express cost per workload when that workload spans two clouds, a Kubernetes cluster and a Snowflake warehouse.