CloudHiro is a FinOps platform that automates reservation management and waste detection for cloud services, specifically targeting Azure and AWS environments. By providing actionable analytics and personalized cost visualization, it enables businesses to reduce cloud expenses by up to 50% while optimizing resource utilization.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle to manage and optimize their cloud spending across multiple platforms like Azure, AWS, and GCP, leading to wasted resources and unpredictable costs. Identifying and addressing inefficiencies in cloud resource allocation requires specialized expertise and time-consuming manual analysis.
Solution
CloudHiro is a FinOps platform designed to automate cloud cost management and waste detection, providing actionable analytics and personalized cost visualization. The platform helps businesses optimize resource utilization and reduce cloud expenses by identifying underutilized or overprovisioned resources. CloudHiro's features include reserved instance (RI) automation, waste detection across numerous resource types, and customizable cost visualization tools. By offering advanced visualization, automation, and recommendations in a single platform, CloudHiro enables organizations to balance agility and cost-effectiveness in their cloud environments.
Target Audience
CloudHiro primarily targets businesses that need to scale their cloud infrastructure while effectively managing costs, including those using Azure, AWS, and GCP.
Features
- Reserved Instance (RI) automation for Azure and AWS, enabling up to 50% savings on virtual machines.
- Cloud Waste Detector covering over 140 resource types, providing recommendations, automation, and alerts for waste elimination.
- CostGraphiX visualizer for Azure, AWS, GCP, and Kubernetes infrastructure, allowing users to set business KPIs and track cloud costs.
- Actionable analytics providing real-time recommendations based on continuous monitoring of cloud usage patterns.
- Rightsizing recommendations to align resources with actual usage, enhancing efficiency and reducing costs.