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Grafana Data Visualization and Monitoring Platform

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Table of Contents

Project Introduction

Grafana is an open-source, cross-platform, highly scalable data visualization and monitoring analysis tool. It aims to help users transform scattered data sources into intuitive, interactive dashboards, enabling real-time data monitoring, trend analysis, and problem localization. This product provides out-of-the-box Grafana based on the Huawei Cloud EulerOS 2.0 64-bit system for Kunpeng servers.

Core Features

  • Multi-data source integration: There is no need to import data into a third-party database. It can directly connect to different data sources such as Kubernetes, cloud services, and log systems to achieve single-panel visualization.
  • Real-time monitoring and visualization: Supports the creation of dynamic dashboards to display system performance indicators, key business indicators (KPIs), and log data in real-time, with various types such as charts, graphs, and dashboards.
  • Collaboration and sharing: Allows team members to jointly create and edit dashboards, promoting the sharing and collaboration of data insights.

The open-source image product Grafana Data Visualization and Monitoring Platform provided by this project has pre-installed Grafana version 12.1.0 and its related operating environment, and offers deployment templates. Follow the user guide to easily start an efficient "out-of-the-box" experience.

System requirements are as follows:

  • CPU: 2vCPUs or higher
  • RAM: 4GB or larger
  • Disk: At least 40GB

Prerequisites

Register a Huawei account and activate Huawei Cloud

Image Description

Image Specification Feature Description Remarks
Grafana-12.1.0-kunpeng Installed and deployed based on Kunpeng server + Huawei Cloud EulerOS 2.0 64bit

Get Help

  • For more questions, you can contact us through issue or the service support of the specified product in the Huawei Cloud Marketplace.
  • For other open-source images, please refer to open-source-image-repos

How to Contribute

  • Fork this repository and submit a pull request
  • Synchronously update README.md based on your open-source image information

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