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Your window into the Elastic Stack
0863a7f3a1
* [ML] APM Correlations: Fix usage in load balancing/HA setups. (#115145) - The way we customized the use of search strategies caused issues with race conditions when multiple Kibana instances were used for load balancing. This PR migrates away from search strategies and uses regular APM API endpoints. - The task that manages calling the sequence of queries to run the correlations analysis is now in a custom React hook (useFailedTransactionsCorrelations / useLatencyCorrelations) instead of a task on the Kibana server side. While they show up as new lines/files in the git diff, the code for the hooks is more or less a combination of the previous useSearchStrategy and the server side service files that managed queries and state. - The consuming React UI components only needed minimal changes. The above mentioned hooks return the same data structure as the previously used useSearchStrategy. This also means functional UI tests didn't need any changes and should pass as is. - API integration tests have been added for the individual new endpoints. The test files that were previously used for the search strategies are still there to simulate a full analysis run, the assertions for the resulting data have the same values, it's just the structure that had to be adapted. - Previously all ES queries of the analysis were run sequentially. The new endpoints run ES queries in parallel where possible. Chunking is managed in the hooks on the client side. - For now the endpoints use the standard current user's esClient. I tried to use the APM client, but it was missing a wrapper for the fieldCaps method and I ran into a problem when trying to construct a random_score query. Sticking to the esClient allowed to leave most of the functions that run the actual queries unchanged. If possible I'd like to pick this up in a follow up. All the endpoints still use withApmSpan() now though. - The previous use of generators was also refactored away, as mentioned above, the queries are now run in parallel. Because we might run up to hundreds of similar requests for correlation analysis, we don't want the analysis to fail if just a single query fails like we did in the previous search strategy based task. I created a util splitAllSettledPromises() to handle Promise.allSettled() and split the results and errors to make the handling easier. Better naming suggestions are welcome 😅 . A future improvement could be to not run individual queries but combine them into nested aggs or using msearch. That's out of scope for this PR though. * [ML] Fix http client types. |
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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. | 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.