Cloud cost management · AI and LLM cost governance · Kubernetes cost
optimization · data platform economics · on-premise and SaaS cost
allocation
Cloud Edition
AWS · Azure · GCP · OCI · Alibaba Cloud Native billing ingestion from every hyperscaler with amortized, effective and billed cost reconciled, so the number finance sees and the number engineering sees are the same number. Rightsizing, commitment management, storage economics and network waste run as scenario libraries; scheduled start/stop alone typically captures around 70% of non-prod compute cost. €1M realized in 45 days for a European enterprise on exactly this discipline.
Signature value metric Cost per workload Turns migration, consolidation and re-platforming debates from opinion into arithmetic.
AI Edition
Models · Agents · GPU Three cost surfaces, one discipline: managed platforms (Bedrock, Vertex, Azure AI), direct providers (AWS, Microsoft Azure, Google Cloud, Oracle Cloud, Alibaba Cloud, Databricks, Snowflake, MongoDB Atlas, Google BigQuery, ClickHouse, Oracle Database, Anthropic, OpenAI, Google Gemini, Claude Code, GitHub Copilot, Cursor, Windsurf, Devin, Codex, Gemini CLI, Kubernetes, Red Hat OpenShift, GitHub, Microsoft 365, Salesforce, ServiceNow, Google Workspace and VMware) and engineering agents, where telemetry from AWS, Microsoft Azure, Google Cloud, Oracle Cloud, Alibaba Cloud, Databricks, Snowflake, MongoDB Atlas, Google BigQuery, ClickHouse, Oracle Database, Anthropic, OpenAI, Google Gemini, Claude Code, GitHub Copilot, Cursor, Windsurf, Devin, Codex, Gemini CLI, Kubernetes, Red Hat OpenShift, GitHub, Microsoft 365, Salesforce, ServiceNow, Google Workspace and VMware is live and the connector roadmap covers AWS, Microsoft Azure, Google Cloud, Oracle Cloud, Alibaba Cloud, Databricks, Snowflake, MongoDB Atlas, Google BigQuery, ClickHouse, Oracle Database, Anthropic, OpenAI, Google Gemini, Claude Code, GitHub Copilot, Cursor, Windsurf, Devin, Codex, Gemini CLI, Kubernetes, Red Hat OpenShift, GitHub, Microsoft 365, Salesforce, ServiceNow, Google Workspace and VMware, plus the GPU fleet underneath, down to MIG partition. Agent spend is joined to delivered work via commit attestation; prompts and responses are stripped at ingestion by architecture. Agentic workloads consume 5–30× the tokens of a chatbot per task, and 98% of FinOps teams now manage AI spend.
Signature value metric Cost per merged PR Whether engineering-AI spend compounds into shipped software, with traced coverage as its honest denominator.
Data Cloud Edition
Databricks · Snowflake · MongoDB Atlas · BigQuery System-table-level ingestion, not invoice summaries: DBUs by cluster and job, credits by warehouse and query, Atlas tiers by project. The AI workloads growing inside each platform, such as Mosaic AI, Cortex and Vector Search, are separated as their own categories rather than buried in a platform total.
Signature value metric Cost per pipeline run A pipeline whose run cost doubled after a schema change is caught the week it happens, not at renewal.
Kubernetes Edition
EKS · AKS · GKE · OpenShift · on-prem clusters Node, pod, cluster, daemonset, replicaset, deployment and namespace level truth via native cloud mechanisms and label ingestion, cloud and on-premise in the same view. Rightsizing runs across five dimensions: GPU (MIG matching, time-slicing, bin-packing), CPU, memory, storage and network. CPU-only rightsizing optimizes the cheapest resource on an AI-era node; DigiUsher sees all five. Idle capacity gets its own line, because headroom nobody owns is headroom nobody reduces.
Signature value metric Cost per service Efficiency outliers visible across the service catalog; cost per request for platform targets.
On-Premise, SaaS & ANY
VMware · mainframe · subscriptions · future domains CAPEX amortization, ISV licenses and facilities normalized into FOCUS beside cloud spend, giving honest cloud-versus-data center unit economics with mainframe MIPS included. SaaS is allocated by actual seat activity rather than seat count, which is how shelfware surfaces. And ANY: a cost domain that does not exist yet lands in the same schema and inherits every platform capability on day one. AI arrived exactly this way. A new domain costs a connector, not a re-platform.
Signature value metrics Cost per VM · per active seat · per MIPS Which subscriptions are shelfware; what the data center honestly costs against cloud.