Kibana definition
Examples of Kibana in a sentence
In order to process the accumulated log data and provide advanced visualization mechanisms, the Accountancy Service uses Elastic Stack (Elasticsearch, Logstash, Kibana) as an advanced log persistence, monitoring, processing, and visualization framework.
Building on this cluster, a web interface named Kibana enables interactive log exploration and dashboard generation.
In addition to configured reports, the system can be linked and integrated with 3rd party data and analytics tools such as Tableau, Microsoft Power BI, Google Analytics, and logging platforms such as New Relic, Sentry, and Kibana.
The data sent to Logstash from various EFPF components are forwarded to Elasticsearch for persistence after executing certain ingestion pipelines; and then Kibana dashboards are automatically updated based on the certain fields of documents stored on Elasticsearch.
URLs created from Kibana for accessing or parameterizing a visualisation are quite complex, hence an encapsulation will be provided by a mediator -in our case the ESB- creating a ‘user-friendly” web API for the clients (Operation Applications).
Only HEROES administrators will be able to access the raw logs from the Kibana direct interface.
Learn the concepts necessary to understand the architecture of Blue Planet Orchestrator, and the architecture behind the MDSO and NFVO solutions C824 Blue Planet: Centralized Logging 11 min Watch this video to get an overview of centralized logging as it pertains to Blue Planet, with a specific focus on the Kibana data and visualization platform.
Furthermore, the mediator will enhance the direct access to the service with a security mechanism, which is quite useful, since the inherent security capability of Kibana is not adequate and easy to integrate.
Kibana offers intuitive and interactive charts and allows the creation of dashboards [25] and reports, which can be saved and easily accessed through a web-browser.
However, throughout the term of this agreement, the Licensor will provide support services for each major release for at least 18 months from the General Availability date, and actively maintain the last minor release of the two most recent major branches of Elasticsearch, and compatible releases of Kibana, Beats, and Logstash.for at least a period of one year after the publisher declares an “end-of life” to the software.