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Your window into the Elastic Stack
b3740ae038
The `useTimefilter` hook that's used throughout the streams UI is retaining the last resolution of date math to absolute time ranges. This is helpful to keep the time range stable when switching pages within the app or making changes on a single page (like testing different grok patterns) without completely using the current context. However, it's confusing to move from another app like Discover to the Streams app because the last resolution might be outdated quite a bit: * Start in streams with a time range of last 15 mins * Go to Discover and trigger new searches for 5 mins without changing the time range - Discover updates the time range on each request (always resolving "last 15mins") * Go back to Streams - "last 15mins" still resolves to the last state from 5 mins ago - if the user has seen a doc in discover, it probably won't show in the streams UI without the user hitting refresh This PR improves this user flow by resetting the resolved time range when loading the streams app - it's kept stable while navigating around within streams to stay consistent in there but updates once moving away from the streams UI. This is not fully solving the issue but it tries to balance the advantages of the different approaches without too much effort in the near term. This change does not affect the behavior of Discover or other apps at all. --------- Co-authored-by: Thom Heymann <190132+thomheymann@users.noreply.github.com> |
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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.mdx.
- 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. | 7.15.1 | 7.15.1 | 💚 OK |
| ES patch number is newer. | 7.15.0 | 7.15.1 | ⚠️ Logged warning |
| ES minor number is newer. | 7.14.2 | 7.15.0 | ⚠️ Logged warning |
| ES major number is newer. | 7.15.1 | 8.0.0 | 🚫 Fatal error |
| ES patch number is older. | 7.15.1 | 7.15.0 | ⚠️ Logged warning |
| ES minor number is older. | 7.15.1 | 7.14.2 | 🚫 Fatal error |
| ES major number is older. | 8.0.0 | 7.15.1 | 🚫 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.