f14ac90e7d
* WIP: Add basic structure of our ML Job callout
* Tests are not implemented
* logic is questionable
* Detections now makes redundant ML API calls
* Fix JSDoc reference
* Move ML Jobs callout to Rules page
As opposed to the more general Detections page.
* Extends callout logic to include installation of any affected jobs
* If old jobs are used with new ECS data, you'll be missing
anomalies/alerts
* If new jobs are used with old ECS data, you'll be missing
anomalies/alerts
* Flesh out our link to ML Job compatibility docs
This page doesn't exist yet; the URI/copy is subject to change.
* ML Job Upgrade -> ML Job Compatibility
This is a more accurate name for the concept since the problem is more
general than presence/absence of an upgrade.
* Add some placeholder copy to get the ball rolling
* Test callout behavior with different API responses
* Prevent fetching ML data when ML popover is opened/closed
We already fetch this data when the component is initially rendered. In
the normal workflow of page load -> open popover, we perform six (6) ML
API calls, 3 of which are redundant.
The one downside of this is that opening/closing the popover will not
refresh data; however, this workflow would previously have resulted in 6
API calls as well.
* Revert "Prevent fetching ML data when ML popover is opened/closed"
This reverts commit
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Kibana
Kibana is your window into the Elastic Stack. Specifically, it's a browser-based analytics and search dashboard for Elasticsearch.
- Getting Started
- Documentation
- Version Compatibility with Elasticsearch
- Questions? Problems? Suggestions?
Getting Started
If you just want to try Kibana out, check out the Elastic Stack Getting Started Page to give it a whirl.
If you're interested in diving a bit deeper and getting a taste of Kibana's capabilities, head over to the Kibana Getting Started Page.
Using a Kibana Release
If you want to use a Kibana release in production, give it a test run, or just play around:
- Download the latest version on the Kibana Download Page.
- Learn more about Kibana's features and capabilities on the Kibana Product Page.
- We also offer a hosted version of Kibana on our Cloud Service.
Building and Running Kibana, and/or Contributing Code
You might want to build Kibana locally to contribute some code, test out the latest features, or try out an open PR:
- CONTRIBUTING.md will help you get Kibana up and running.
- If you would like to contribute code, please follow our STYLEGUIDE.md.
- For all other questions, check out the FAQ.md and wiki.
Documentation
Visit Elastic.co for the full Kibana documentation.
For information about building the documentation, see the README in elastic/docs.
Version Compatibility with Elasticsearch
Ideally, you should be running Elasticsearch and Kibana with matching version numbers. If your Elasticsearch has an older version number or a newer major number than Kibana, then Kibana will fail to run. If Elasticsearch has a newer minor or patch number than Kibana, then the Kibana Server will log a warning.
Note: The version numbers below are only examples, meant to illustrate the relationships between different types of version numbers.
| Situation | Example Kibana version | Example ES version | Outcome |
|---|---|---|---|
| Versions are the same. | 5.1.2 | 5.1.2 | 💚 OK |
| ES patch number is newer. | 5.1.2 | 5.1.5 | ⚠️ Logged warning |
| ES minor number is newer. | 5.1.2 | 5.5.0 | ⚠️ Logged warning |
| ES major number is newer. | 5.1.2 | 6.0.0 | 🚫 Fatal error |
| ES patch number is older. | 5.1.2 | 5.1.0 | ⚠️ Logged warning |
| ES minor number is older. | 5.1.2 | 5.0.0 | 🚫 Fatal error |
| ES major number is older. | 5.1.2 | 4.0.0 | 🚫 Fatal error |
Questions? Problems? Suggestions?
- If you've found a bug or want to request a feature, please create a GitHub Issue. Please check to make sure someone else hasn't already created an issue for the same topic.
- Need help using Kibana? Ask away on our Kibana Discuss Forum and a fellow community member or Elastic engineer will be glad to help you out.