Grafana vs Kibana
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The document compares and contrasts Kibana and Grafana. It discusses that in Kibana, user privileges are based on base and feature privileges that determine read and write access. In Grafana, user permission is determined by their role, team access, and specific dashboard/folder permissions. Both tools allow for visualizing time-series data, but Kibana focuses on log analysis using Elasticsearch while Grafana supports multiple data sources and is designed more for metrics and monitoring. Key differences include Kibana being integrated with ELK while Grafana supports various plugins, and Grafana having built-in alerts while Kibana relies on plugins.
Grafana vs Kibana
- 4. Privileges against Roles Assigned Accessibility to Kibana’s dashboard is totally dependent on the privileges assigned. These privileges are classified into two: •Base Privileges: Wherein a user can access all the features in the dashboard. This accessibility can be read & write functionality or might be restricted to read functionality only. •Feature Privileges: It again works on the same lines of reading and writes accessibility. The only thing here is that you might be able to work on a specific set of features. In the case of Grafana, user permission is determined by: •What position does a user hold in the organization. •Accessibility permission granted to individual teams. •Permission granted to access specific folders/dashboards. •Admin access which helps administer accessibility rights of all the employees
- 5. Tool Functionalities Kibana with its perceptive usability, is of prominent help at following things: •Its time visual builder combines multiple timelines into one. And still it conveys across meaningful data representation. •Provides the geographical relevance of the data. •Data can be represented through a variety of visual representations like line, bar, heatmap, pie charts etc. When it comes to Grafana, below mentioned are some of the key functionalities: •Visualization of data via heatmaps and histograms. •Visual representations for whenever it observes
- 6. Logs and Metrics Form the Core of their Working Kibana basically analyzes the logs collected because of servers and virtual machines’ operations. All this function is boosted by Log app in Kibana wherein the display of results is customizable. Grafana, on the other hand, is capable of analyzing and visualizing the data from the metrics. To quickly
- 7. Differences Between Grafana and Kibana Below are the key differences between Grafana vs Kibana: •Kibana offers a flexible platform for visualization; it also gives real-time updates/summary of the operating data. Grafana is built for cross platforms; it is mostly integrated with Graphite, InfluxDB, and Elasticsearch. •Grafana is developed mainly for visualizing and analyzing metrics such as system latency, CPU load, RAM utilization, etc., it does not support full-text queries. Kibana, on the other hand, supports text querying along with monitoring. •Grafana is mainly designed as a User Interface tool for better interaction with the users; it accepts data from multiple plugin data from various sources. Kibana is designed specifically to work with the ELK stack. •Kibana is quite rigid when it comes to taking data, but there are plugins to integrate the ELK, which is used by kibana.
- 8. Differences Between Grafana and Kibana Below are the key differences between Grafana vs Kibana: •Kibana is developed using Lucene libraries; for querying, kibana follows the Lucene syntax. Grafana, on the other hand, uses a query editor, which follows different syntaxes based on the editor it is associated with as it can be used across platforms. For example, queries to Prometheus would be different from that of queries to influx DB. •Grafana supports built-in alerts to the end-users; this feature is implemented from version 4.0. It can send alerts to the user’s email if it finds any unusual data while monitoring. Kibana by itself doesn’t support alerts yet, but with the help of plugins, it can be made possible. •Kibana is integrated with the ELK stack when the data is stored; it is indexed by default, making its retrieval very fast. Grafana doesn’t have an indexing mechanism like kibana and is slower.
- 9. Alert System Procedure Kibana alert systems are its first-class entities and work on the following possibilities which lead to alert: •Same user but different location logging. • Content going viral on social media. • If credit card numbers are visible in application logs. Users have the privilege of managing the alert system within a single user interface. Also, they can analyze from the alert history about the actions taken for a particular alert. In Grafana a user can define its alert visually, for the most important metrics. It also gives the option to the users as to how often the
- 10. Similarities Between Kibana and Grafana
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