--- title: 'Grafana — Tool for Monitoring and Data Visualization | Zomro' description: 'Install Grafana in a couple of clicks through our marketplace. Get a powerful tool for server monitoring and data visualization with automatic setup.' image: 'https://zomro.com/static/site/images/logo/logo-white.png?v=1790950739' --- ![opened image]() * [Zomro](https://zomro.com/) * [Marketplace](https://zomro.com/marketplace) * Grafana ![Grafana icon](https://cdn.zomro.com/uploads/marketplace/instruction/grafana.png) # Grafana Version 11.2.0 OS Ubuntu 22.04 [ deploy Grafana ](https://cp.zomro.com/cart?name=Essential%20Intel&location=17&datacenter=17&dc=netherlands-3&period=1&category=shared_cpu&type=premium&isMarketplaceOrder=true&imageId=44467f67-fef5-4a95-9df6-d6961b142c89&id=7752&service=instances) Do you want to know what Grafana is and what it is used for? Grafana — is a powerful open-source tool for visualizing and analyzing real-time data. With the Grafana server and various Grafana plugins, you can create a centralized platform for monitoring servers, networks, and applications. It provides intuitive dashboards that make it easy to interpret data, identify issues, and make informed decisions based on analysis. ## **Main features of Grafana** * Support for multiple data sources * Grafana supports integration with popular monitoring systems such as Prometheus, InfluxDB, MySQL, PostgreSQL, Elasticsearch, Loki, and others. This makes it a versatile solution for collecting and analyzing data from various sources. * The system is suitable for both small businesses and large corporations. You can start with a single server and gradually scale the infrastructure by connecting new nodes and data sources. * Users can easily create unique dashboards that display key metrics. Each dashboard can be tailored to specific tasks or company requirements. * Grafana allows you to set up automatic alerts that notify the administrator when critical metric thresholds are reached via e-mail, Slack, Telegram, or other integrated systems. * The Grafana user interface is designed for both experienced system administrators and beginners. This reduces the learning curve and allows for quicker onboarding. ### **How to get started with Grafana** Installing Grafana via Marketplace To deploy Grafana, you can use ready-made images from the Marketplace. This avoids the complexities of manual server configuration and speeds up the installation process. Deploy a server with Grafana by selecting the appropriate image in the Marketplace. * Specify access parameters (password or SSH key) that will be used for connection. * After creating the server, connect to it via SSH. * Linux/MacOS: Use the terminal to connect. * Windows: It is recommended to use programs like PuTTY or the built-in OpenSSH client. In the terminal, execute the following command: ssh root@ ### **Getting login credentials for Grafana** Upon first connecting to the server, the administrator credentials are saved in the file:**/root/password_credentials** ![Grafana - 1](https://dx86q6oq7ry0e.cloudfront.net/uploads/blog/a48%40server-panel.net/2024/12/02/01_q50.jpg) Execute the command: cat /root/password_credentials This will output the username and password for logging into the Grafana web interface. * Username: admin * Password: YourSecurePassword ![Grafana - 2](https://dx86q6oq7ry0e.cloudfront.net/uploads/blog/a48%40server-panel.net/2024/12/02/02_q50.jpg) **Logging into the web interface** Open your browser and enter the server's IP address, for example: http://11.22.33.44 If a warning about the SSL certificate appears, confirm the transition. ![Grafana - 3](https://dx86q6oq7ry0e.cloudfront.net/uploads/blog/a48%40server-panel.net/2024/12/02/03_q50.jpg) Enter the credentials obtained earlier (**admin / YourSecurePassword**). ![Grafana - 4](https://dx86q6oq7ry0e.cloudfront.net/uploads/blog/a48%40server-panel.net/2024/12/02/04_q50.jpg) After logging in, you will be prompted to change the administrator password. It is highly recommended to set a strong password to enhance security. ![Grafana - 5](https://dx86q6oq7ry0e.cloudfront.net/uploads/blog/a48%40server-panel.net/2024/12/02/05_q50.jpg) ### **Initial setup of Grafana** 1. Connecting data sources 2. In the menu, select Connections → Data Sources. 3. Click Add Data Source. 4. Select the type of data source (e.g., Prometheus, InfluxDB, or MySQL). 5. Specify the connection parameters: * Server or host address. * Connection port. * Login and password (if required). Save the settings and test the connection. **Creating dashboards** 1. Go to the Dashboards → New Dashboard section. 2. Click Add New Panel to add the first graph. 3. Configure the visualization parameters: * Specify the metric to display. * Configure axes, titles, and labels. * Set threshold values (if necessary). You can create both simple graphs and complex visualizations with multiple levels of detail. **Setting up alerts** 1. Select the panel for which you want to set up an alert. 2. Enable Alerting and set the conditions: * The metric to monitor. * Threshold values at which the notification will trigger. Specify the notification delivery channel: * E-mail. * Slack. * Telegram. ![Grafana - 6](https://dx86q6oq7ry0e.cloudfront.net/uploads/blog/a48%40server-panel.net/2024/12/02/06_q50.jpg) ## **Ensuring security and backup** **Access restriction** * To prevent unauthorized access, install a firewall and configure security features. **Updates** * Regularly update Grafana to the latest version to receive bug fixes and security improvements. **Backup** * Use built-in tools or third-party solutions for backing up data and configuration. Grafana — is an indispensable tool for data visualization and monitoring. If you are looking for a monitoring solution with Grafana, network monitoring with Grafana, or server monitoring with Grafana, then this tool is perfect for you. With its flexible configuration, wide integration capabilities, and user-friendly interface, Grafana helps system administrators, developers, and analysts gain full control over infrastructure, promptly identify and resolve issues, and effectively analyze data in real-time.