Inform — cost visibility & allocation
Tag-aware allocation, unit economics ($ per request, $ per tenant), forecasting and budget alerts. Daily granularity across AWS, GCP and Azure.
finops platform
A FinOps platform that engineers actually use: USD-denominated recommendations, GitOps-friendly remediation, and a free plan that never expires.
A FinOps platform should turn cloud spend into a metric your engineering org optimizes weekly — not a quarterly report finance reads after the bill spikes. Lumicost ships the three FinOps Foundation phases (Inform, Optimize, Operate) in a single product: real-time visibility, prioritized recommendations and automation hooks for Slack, Jira and Terraform. No PSO contract, no 6-month onboarding.
Tag-aware allocation, unit economics ($ per request, $ per tenant), forecasting and budget alerts. Daily granularity across AWS, GCP and Azure.
Rightsizing, commitment planning, idle cleanup and architectural patterns (e.g. NAT gateway egress, intra-zone traffic). Each ranked by USD impact and effort.
Slack/PagerDuty alerts, Jira tickets auto-created with remediation steps, Terraform/PR-ready snippets, and audit-trail of accepted vs deferred recommendations.
We map every feature to FinOps capabilities (Allocation, Anomaly Management, Rate Optimization, Workload Optimization). Useful when standing up a FinOps practice.
A FinOps platform is software that helps engineering, finance and product teams collaborate on cloud cost decisions. It typically covers visibility (allocation), optimization (rightsizing, commitments) and operations (alerts, workflows).
Engineer-first UX, free forever plan, SOC 2 evidence automation in the same product, native Kubernetes support and 5-minute onboarding instead of multi-week implementations.
No. Lumicost is designed so a single engineer or finance partner can stand up a FinOps practice. As you grow, it scales to support multi-team chargeback and approval workflows.
Never. Every tenant lives in its own logical isolation with row-level security; benchmarks (when shown) are computed from anonymized aggregates.
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