🎨 Kubernetes Usage Analytics and Accounting for Cost Allocation and Capacity Planning - Hourly Trends, Daily and Monthly Accounting - Prometheus Exporter - Built-in & Grafana Dashboards.
kube-opex-analytics
(literally Kubernetes Opex Analytics) is a Kubernetes usage accounting and analytics tool to help organizations track the resources being consumed by their Kubernetes clusters over time (hourly, daily, monthly). The purpose of kube-opex-analytics
is to help prevent overpaying. Indeed, it provides insightful usage analytics metrics and charts, that engineering and financial teams can use as key indicators to take appropriate cost optimization decisions.
Key features:
kube-opex-analytics
tracks and consolidates the share of non-allocatable capacities and highlights them against usable capacities (i.e. capacities used by actual application workloads). In contrary to usable capacities, non-allocatable capacities are dedicated to Kubernetes operations (OS, kubelets, etc).kube-opex-analytics
enables built-in analytics dashboards, as well as a native Prometheus exporter that exposes its analytics metrics for third-party visualization tools like Grafana.Read the design fundamentals documentation to learn more concepts and implementation decisions.
Multi-cluster Integration:
kube-opex-analytics
tracks the usage for a single Kubernetes cluster. For a centralized multi-Kubernetes usage analytics, use our Krossboard Kubernetes Operator product. Watch a demo video.
Checkout the Design Fundamentals documentation to learn more about kube-opex-analytics
, it introduces concepts and implementation decisions.
kube-opex-analytics
(code and documentation) is licensed under the terms of Apache License 2.0; read the LICENSE. Besides, it's bound to third-party libraries each with its specific license terms; read the NOTICE for additional information.
We encourage feedback and always make our best to handle any troubles you may encounter when using kube-opex-analytics
.
Use this link to submit issues or improvement ideas.
To contribute bug patches or new features, please submit a Pull Request.
Contributions are accepted subject that the code and documentation be released under the terms of Apache 2.0 License.