Optscale
by hystax
Multi-Cloud Cost Intelligence & FinOps Automation Platform
Open-source platform that automatically tracks, analyzes, and optimizes spending across AWS, Azure, GCP, Alibaba Cloud, and Kubernetes clusters.
- 1,877+ GitHub stars
- Built with Python
- Multi-cloud support for AWS, Azure, GCP, Alibaba Cloud, and Kubernetes
- Apache License 2.0 license
About This Project
OptScale is a comprehensive FinOps platform that gives engineering and finance teams complete visibility into their multi-cloud infrastructure costs. It connects directly to your cloud accounts to provide real-time expense tracking, resource utilization analysis, and actionable optimization recommendations that can reduce your cloud bills by 30-50%.
Unlike basic cost monitoring tools, OptScale combines financial operations with performance profiling, allowing teams to understand not just what resources cost, but how efficiently they're being used. The platform includes ML-powered anomaly detection to catch cost spikes before they impact your budget, and provides detailed S3 storage optimization insights to eliminate wasteful spending on object storage.
Built for organizations running workloads across multiple cloud providers, OptScale normalizes billing data and metrics into a unified dashboard. It supports Kubernetes cost allocation at the namespace and pod level, making it ideal for containerized environments where traditional cloud cost tools fall short. The platform also includes PaaS instrumentation capabilities to profile application performance alongside infrastructure costs.
As an open-source solution, OptScale offers transparency and customization options that proprietary FinOps tools cannot match, while still providing enterprise-grade features like budget alerts, cost allocation tags, reserved instance recommendations, and detailed reporting for stakeholder communication.
Key Features
- Multi-cloud support for AWS, Azure, GCP, Alibaba Cloud, and Kubernetes
- Real-time cost tracking with ML-powered anomaly detection
- Kubernetes namespace and pod-level cost allocation
- S3 storage optimization with detailed object-level analysis
- PaaS profiling to correlate application performance with infrastructure costs
- Automated rightsizing recommendations for compute resources
- Budget alerts and custom cost allocation tags
- Reserved instance and savings plan recommendations
How You Can Use It
Tracking and allocating Kubernetes costs across development teams and projects
Identifying underutilized cloud resources and rightsizing recommendations
Monitoring multi-cloud spending from a single unified dashboard
Detecting cost anomalies and budget overruns before month-end surprises
Optimizing S3 storage costs by identifying redundant or stale objects
Generating executive reports on cloud efficiency and ROI
Who Is This For?
DevOps engineers, platform teams, FinOps practitioners, and engineering managers responsible for cloud infrastructure costs and optimization