* Merge pull request #1 from Yury-Fridlyand/dev-update-sql-relevance-docs Update SQL plugin relevance functions documentation. Co-authored-by: MaxKsyunz <[email protected]> Signed-off-by: Yury Fridlyand <[email protected]> * Address PR feedback. Signed-off-by: Yury Fridlyand <[email protected]> * Address PR feedback by @joshuali925. Signed-off-by: Yury Fridlyand <[email protected]> * Remove PPL page from Observability Plugin. Add link to Observability page. Make some simple formatting changes Signed-off-by: Naarcha-AWS <[email protected]> * Reword paragraph Signed-off-by: Naarcha-AWS <[email protected]> * Adds SQL and PPL API and other SQL plugin changes Signed-off-by: Fanit Kolchina <[email protected]> * Formatting changes Signed-off-by: Fanit Kolchina <[email protected]> * Incorporates editorial comments Signed-off-by: Fanit Kolchina <[email protected]> Signed-off-by: Yury Fridlyand <[email protected]> Signed-off-by: Naarcha-AWS <[email protected]> Signed-off-by: Fanit Kolchina <[email protected]> Co-authored-by: Yury Fridlyand <[email protected]> Co-authored-by: MaxKsyunz <[email protected]> Co-authored-by: Fanit Kolchina <[email protected]>
1.7 KiB
1.7 KiB
layout, title, nav_order, has_children, redirect_from
| layout | title | nav_order | has_children | redirect_from | |
|---|---|---|---|---|---|
| default | About Observability | 1 | false |
|
About Observability
OpenSearch Dashboards {: .label .label-yellow :}
Observability is collection of plugins and applications that let you visualize data-driven events by using Piped Processing Language to explore, discover, and query data stored in OpenSearch.
Your experience of exploring data might differ, but if you're new to exploring data to create visualizations, we recommend trying a workflow like the following:
- Explore data within a certain timeframe using Piped Processing Language.
- Use event analytics to turn data-driven events into visualizations.

- Create operational panels and add visualizations to compare data the way you like.

- Use log analytics to transform unstructured log data.
- Use trace analytics to create traces and dive deep into your data.

- Leverage notebooks to combine different visualizations and code blocks that you can share with team members.
