Gives engineering, FinOps and finance teams one place to see, allocate and act on cloud, data and AI spend, including cost per customer, showback and chargeback, and cost spikes.
Combine AWS, Google Cloud, Microsoft Azure and Oracle Cloud spend with data platforms, observability tools and AI providers (40+ providers) in one view
Allocate and alert on spend across providers
Optimize Kubernetes on EKS and GKE
Normalize billing from 40+ providers into one schema
Group spend by team, product or customer
Drill from trend to line item
Forecast spend and set budgets and alerts
Allocate shared and untagged spend with virtual tags, ordered rules and runtime attribution
Showback and chargeback
Detect performance and resilience issues in Kubernetes workloads
View performance, utilization, cost and waste together
Continuous billing-based anomaly detection across clouds, data platforms and AI providers
Kubernetes utilization, cost and waste visibility through PerfectScale
Tunable sensitivity and spend floors for alerts
Rightsize pod CPU and memory requests and tune HPA and KEDA
Remove idle node capacity and choose node types
Optimize Savings Plans, CUDs and Spot for Kubernetes nodes
Automate recommendations with namespace guardrails on EKS, GKE and GPU clusters
Real-time cost anomaly detection from usage events such as AWS CloudTrail, alerting within minutes
Alerts with severity, affected resources, owner and AI analysis
Alert routing to Slack, Microsoft Teams, email and console
Contact vendor
Contact vendor
User experiences, moderated before publication. Review policy
Be the first to share your experience with DoiT Cloud Intelligence.
softosaur