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via Udemy |
Go to Course: https://www.udemy.com/course/grafana-master-course-time-series-data-visualization/
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.