{"repo":"IBM/ibm-spectrum-scale-bridge-for-grafana","free":true,"listed":false,"github":"https://github.com/IBM/ibm-spectrum-scale-bridge-for-grafana","clone":"git clone https://github.com/IBM/ibm-spectrum-scale-bridge-for-grafana.git","description":"This tool allows IBM Storage Scale users to perform performance monitoring for IBM Storage Scale devices using third-party applications such as Grafana or Prometheus software, or integrate with the Openshift monitoring stack.","language":"Python","stars":47,"topics":["grafana","performance-monitoring","spectrum-scale","gpfs","cloudnative","grafana-datasource","k8s-integration","openshift-integration","data-visualization","ibm-cnsa"],"license":"Apache-2.0","category":"analytics","readme_excerpt":"The IBM Storage Scale bridge for Grafana could be used for exploring IBM Storage Scale performance data on Grafana dashboards. Grafana Bridge is a standalone Python application. It translates the IBM Storage Scale metadata and performance data collected by the IBM Storage Scale performance monitoring tool (ZiMon) to the query requests acceptable by the Grafana integrated openTSDB plugin. Getting started Installation guides: Setup the grafana bridge on a classic IBM Storage Scale cluster Run the grafana bridge in a docker container Setup a Grafana environment for monitoring performance data of an IBM Storage Scale container native project in a k8s OCP environment The latest article: How to integrate performance monitoring of an IBM Storage Scale container native project in the Openshift Monitoring Stack Find more helpful information about the bridge usage in the project Wiki Contributing At this time, third party contributions to this code will not be accepted. License IBM Storage Scale bridge for Grafana is licensed under version 2.0 of the Apache License. See the LICENSE file for details.","default_branch":null,"files":null,"tree":[],"storefront":"/r/IBM","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/IBM/ibm-spectrum-scale-bridge-for-grafana/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}