Naarcha-AWS c69f860bfe
Add PPL and SQL section (#1111)
* Merge pull request #1 from Yury-Fridlyand/dev-update-sql-relevance-docs

Update SQL plugin relevance functions documentation.

Co-authored-by: MaxKsyunz <maxk@bitquilltech.com>
Signed-off-by: Yury Fridlyand <yuryf@bitquilltech.com>

* Address PR feedback.

Signed-off-by: Yury Fridlyand <yuryf@bitquilltech.com>

* Address PR feedback by @joshuali925.

Signed-off-by: Yury Fridlyand <yuryf@bitquilltech.com>

* Remove PPL page from Observability Plugin. Add link to Observability page. Make some simple formatting changes

Signed-off-by: Naarcha-AWS <naarcha@amazon.com>

* Reword paragraph

Signed-off-by: Naarcha-AWS <naarcha@amazon.com>

* Adds SQL and PPL API and other SQL plugin changes

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Formatting changes

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Incorporates editorial comments

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

Signed-off-by: Yury Fridlyand <yuryf@bitquilltech.com>
Signed-off-by: Naarcha-AWS <naarcha@amazon.com>
Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>
Co-authored-by: Yury Fridlyand <yuryf@bitquilltech.com>
Co-authored-by: MaxKsyunz <maxk@bitquilltech.com>
Co-authored-by: Fanit Kolchina <kolchfa@amazon.com>
2022-09-26 12:28:00 -04:00

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1.7 KiB
Markdown

---
layout: default
title: About Observability
nav_order: 1
has_children: false
redirect_from:
- /observability-plugin/
---
# 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:
1. Explore data within a certain timeframe using [Piped Processing Language]({{site.url}}{{site.baseurl}}/search-plugins/sql/ppl/index).
2. Use [event analytics]({{site.url}}{{site.baseurl}}/observability-plugin/event-analytics) to turn data-driven events into visualizations.
![Sample Event Analytics View]({{site.url}}{{site.baseurl}}/images/event-analytics.png)
3. Create [operational panels]({{site.url}}{{site.baseurl}}/observability-plugin/operational-panels) and add visualizations to compare data the way you like.
![Sample Operational Panel View]({{site.url}}{{site.baseurl}}/images/operational-panel.png)
4. Use [log analytics]({{site.url}}{{site.baseurl}}/observability-plugin/log-analytics) to transform unstructured log data.
5. Use [trace analytics]({{site.url}}{{site.baseurl}}/observability-plugin/trace/index) to create traces and dive deep into your data.
![Sample Trace Analytics View]({{site.url}}{{site.baseurl}}/images/observability-trace.png)
6. Leverage [notebooks]({{site.url}}{{site.baseurl}}/observability-plugin/notebooks) to combine different visualizations and code blocks that you can share with team members.
![Sample Notebooks View]({{site.url}}{{site.baseurl}}/images/notebooks.png)