krossboard icon indicating copy to clipboard operation
krossboard copied to clipboard

📊 Krossboard is a Multi-cluster, Cross-Cloud & Cross-Distribution Kubernetes Usage Accounting & Analytics. Actively tested against Amazon EKS, Microsoft AKS, Google GKE, Red Hat OpenShift, & vanilla...

DEPRECATED REPO => Use Krossboard Kubernetes Operator instead.


  • Overview
  • Getting Started
  • Open to Contributions

Overview

Krossboard provides an advanced & centralized resource usage analytic and accounting for multiple Kubernetes. The Kubernetes clusters can be on premises and/or in the cloud, self-deployed or managed.

Key features:

  • Multi-Kubernetes Data Collection: Krossboard periodically collects raw metrics related to containers, pods and nodes from each Kubernetes cluster it handles. The built-in data collection period is 5 minutes.
  • Powerful Analytics Processing: Krossboard internally processes raw metrics to produce insightful Kubernetes usage accounting and analytics metrics. The analytics data are tracked on a hourly-basis, per namespace, per cluster, and globally.
  • Insightful Usage Accounting: Krossboard periodically processes usage accounting, per namespace and per cluster. By the default, the UI displays accounting the following periods without any additioanl configuration: daily accounting for the last 14 days, monthly for the ast 12 months.
  • REST API: Krossboard exposes the analytics data it generates to third-party systems thanks to REST APIs.
  • Easy to deploy: The Krossboard operator is deployable in a couple of minutes.
  • Extensible analytics/reports: Krossboard enables REST API to expose the analytics data it generates to third-parties analytics systems in CSV or JSON format.

Krossboard Demo

Getting Started

Open to Contributions

This repository provides release packages, scripts and built-in configuration files used to set up Krossboard.

We encourage feedback and always make our best to handle any issues as fast as possible. Don't hesitate to submit issues or feature requests.

StackShare