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所在平台: Udemy |
课程主页: https://www.udemy.com/course/grafana-master-course-time-series-data-visualization/
课程评论：没有评论
课程名称：Grafana大师课程 - 时间序列数据可视化 课程概述：本课程适合需要以下条件的学习者：AWS账户或任何可在AWS上使用的CentOS云实例（可选），访问AWS CloudWatch以尝试演示，Docker Desktop（可前往Docker官方网站下载）。注意：如果您是Udemy Business用户，请在下载任何软件之前咨询您的雇主。 本课程涵盖了管理员、DevOps工程师、开发人员等角色所需的核心功能，包括：在Linux、Windows以及通过Docker安装Grafana，设置Grafana中的各种数据源，深入讨论仪表盘、面板及Grafana的构建模块，添加和编辑图形及面板，详细探讨图形、单一状态、表格、热图、警报列表、仪表盘列表等面板的使用。此外，课程还包括变量、注释、文件夹、播放列表、搜索、共享、时间范围、导出与导入、脚本仪表盘和仪表盘版本历史的高级讨论。学员将配置多个数据源，如Graphite、Prometheus、InfluxDB、Elasticsearch、AWS Cloudwatch、MySQL、OpenTSDB、TestData等，并深入了解警报设置和通知。 课程重点功能与特点： 1. **安装与设置**：Grafana支持Linux和Windows等主流操作系统，同时通过Docker实现容器化部署，便于无缝集成到现有工作流程和系统中。 2. **数据源集成**：在Grafana中设置各种数据源（如Graphite、Prometheus、InfluxDB等），实现不同平台之间数据的集中查看，确保全面的监控和分析。 3. **仪表盘与面板配置**：Grafana强大的仪表盘功能允许创建和修改图形、面板及其他可视组件，如表格、热图和单一状态面板，有助于将大型数据集提炼成可读的、可执行的见解。 4. **高级功能**：讨论变量、注释和脚本仪表盘等高级功能，使Grafana的实用性增强，支持基于用户交互或预设脚本的定制和动态响应。 5. **警报与通知**：通过高级警报设置，Grafana帮助进行主动监控，快速响应系统异常或性能问题，确保系统可靠性和性能。 6. **协作与可视化**：Grafana通过直观的用户界面，使团队能够协作处理IoT、基础设施和DevOps数据，并进行可视化，从而提升操作效率和决策过程。 总之，本课程提供了关于Grafana在时间序列数据可视化中的全面培训，适合任何希望提升数据监控和分析能力的专业人员。
This course requires the following:An AWS account or any cloud instance for CentOS (optional) available at AWS Access to AWS CloudWatch to try the demoDocker Desktop, which can be installed from Docker official websiteNote: If you are a Udemy Business user, please consult your employer before downloading any software.Covers the functionalities as administrators, Devops Engineer, developers etcInstallation of Grafana in Linux, Windows as well as using DockerSetting up various Data Sources within Grafana Detailed discussion on Dashboards, Panels and building blocks of GrafanaAdding and Editing of Graphs and PanelsDetailed discussion on Panels like Graph, Singlestat, Table, Heatmap, Alert List Dashboard List Advanced discussion on Variables, Annotations, Folders, Playlist, Search, Sharing, Time Range, Export & Import, Scripted Dashboards, Dashboard Version HistoryConfiguring various data sources like Graphite, Prometheus, InfluxDB, Elasticsearch, AWS Cloudwatch, MySQL, OpenTSDB, TestData etcAdvanced discussion on alert settings and notificationCollaborate IoT, Infrastructure and DevOps data and Visualize with very intuitive UI using Grafana Key Functionalities and Features:Installation and Setup: Grafana's compatibility with major operating systems like Linux and Windows, along with containerization options using Docker, ensures that it can be deployed in diverse environments seamlessly. This flexibility aids in easy integration into existing workflows and systems.Data Source Integration: Setting up various data sources within Grafana, such as Graphite, Prometheus, InfluxDB, and more, allows for a centralized view of metrics and data across different platforms. This integration is crucial for maintaining comprehensive monitoring and analytics.Dashboard and Panel Configuration: Grafana's robust dashboard functionality includes the ability to create and modify graphs, panels, and other visual components like Tables, Heatmaps, and Singlestat panels. These tools help in distilling large datasets into readable and actionable insights.Advanced Features: Discussions on advanced features like variables, annotations, and scripted dashboards enhance Grafana's utility by allowing customization and dynamic responses based on user interactions or predefined scripts.Alerting and Notifications: With advanced alert settings, Grafana helps in proactive monitoring and immediate response to system anomalies or performance issues, which is essential for maintaining system reliability and performance.Collaboration and Visualization: The ability to collaborate on IoT, infrastructure, and DevOps data, and visualize it through an intuitive UI, makes Grafana an invaluable tool for teams aiming to streamline operations and enhance decision-making processes.
