Grafana is a multi-platform open source analytics and interactive visualization web application. It provides charts, graphs, and alerts for the web when connected to supported data sources.
- Is Grafana a python?
grafanalib works with Python 3.6 through 3.9.
2. What is the difference between Prometheus and Grafana?
Prometheus and Grafana are both built for time-series data. Prometheus excels in metric data collection, whereas Grafana champions metric visualizations. Both tools are open source, free and have vibrant communities of open source developers supporting their development.
3. Is Grafana easy to learn?
Grafana is an open source database analysis and monitoring tool that is easy to install on any operating system. It’s accessed through a browser, so it can be deployed to your favorite hosting company and can then be accessed by your whole team.
4. What is the difference between Grafana and Kibana?
The key difference between the two visualization tools stems from their purpose. Grafana’s design for caters to analyzing and visualizing metrics such as system CPU, memory, disk and I/O utilization. Kibana, on the other hand, runs on top of Elasticsearch and is used primarily for analyzing log messages.
5. Which is better Kibana or Grafana?
Grafana is better suited for applications that require continuous real-time monitoring metrics like CPU load, memory, etc. Kibana is better suited for log file analysis and full-text search queries. Grafana gives custom real-time alerts as the data comes; it identifies patterns in the data and sends alerts.