This platform analyzes cloud infrastructure to identify optimization opportunities and reduce costs. It provides automated context building and resource attribution, enabling cloud teams to improve performance and resource utilization.
Funding
Funding not disclosed
Founders
Product
Problem
Managing cloud infrastructure across multiple platforms like AWS, Azure, and GCP is complex, often leading to inefficient resource allocation and overspending. Tracking asset ownership, attributing costs accurately, and rightsizing resources based on guesswork further exacerbate these challenges.
Solution
Cloud ex Machina is an AIOps platform that optimizes cloud infrastructure for performance and cost-efficiency across AWS, Azure, GCP, and containerized environments. The platform automates asset context building and cost attribution, providing full visibility into cloud consumption without relying on manual tagging. By integrating with developer workflows, Cloud ex Machina delivers actionable recommendations and remediation workflows, enabling engineers to improve resource utilization and reduce cloud spend. The platform identifies and prioritizes optimization opportunities based on ROI, facilitating data-driven decisions for cloud resource management.
Target Audience
Cloud ex Machina targets DevOps engineers, FinOps teams, and cloud architects responsible for managing and optimizing cloud infrastructure costs and performance across multiple cloud platforms.
Features
- Automated asset discovery and categorization for dynamic cloud environments
- Tagless context building to enrich asset metadata and improve visibility
- Comprehensive asset attribution and cost allocation for accurate financial management
- Root cause analysis and anomaly detection to identify performance bottlenecks and cost inefficiencies
- ROI-based prioritization of optimization opportunities for maximum impact
- Seamless integration with developer workflows via Slack, Microsoft Teams, GitHub, and JIRA
- Actionable recommendations and automated remediation workflows for efficient resource management
- Support for Amazon Web Services, Microsoft Azure, Google Cloud Platform, and container platforms