Dome provides a cloud-native FinOps platform that integrates with GitOps to automate cost recommendations and optimize resource allocation across multiple cloud providers. This solution addresses the challenge of managing cloud expenditures by delivering actionable insights and continuous cost control, enabling organizations to align their cloud spending with business objectives.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle to manage and optimize their cloud expenditures effectively, leading to wasted resources and misalignment between cloud spending and business objectives. Traditional methods lack the visibility and automation needed to control costs across multiple cloud providers and within modern application architectures. This challenge is exacerbated by the disconnect between finance and engineering teams, hindering informed decision-making regarding cloud resource allocation.
Solution
Dome offers a cloud-native FinOps platform designed to bridge the gap between finance and engineering, providing visibility, optimization, and automation for cloud cost management. The platform integrates with GitOps workflows, enabling automated cost recommendations and resource allocation adjustments based on Kubernetes manifests. By offering flexible cost allocation, cost awareness, and cross-cloud provider comparisons, Dome empowers organizations to understand and optimize their IT spend. The solution curates metrics for cost optimization, auto-maps labels to cloud resources, and allows organizations to control costs through adjustable thresholds and alerts.
Target Audience
Dome primarily targets budget owners, finance teams, and engineering teams within organizations that utilize multiple cloud providers and are seeking to optimize their cloud spending.
Features
- Cloud-native approach for flexible cost allocation and cost awareness.
- Multi-cloud support for comparing and simulating costs across different providers, including on-prem vs. cloud comparisons.
- Integration with GitOps via Kubernetes manifests for automated cost recommendations and optimizations.
- Policy engine for setting thresholds and controlling costs within defined limits.
- Cloud cost visibility, presenting costs in the context of the business for informed decision-making.
- Automated mapping of labels to cloud resources.
- Adjustable thresholds and alerts for proactive cost control.