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* 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>
28 lines
1.7 KiB
Markdown
28 lines
1.7 KiB
Markdown
---
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layout: default
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title: About Observability
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nav_order: 1
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has_children: false
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redirect_from:
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- /observability-plugin/
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---
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# About Observability
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OpenSearch Dashboards
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{: .label .label-yellow :}
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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.
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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:
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1. Explore data within a certain timeframe using [Piped Processing Language]({{site.url}}{{site.baseurl}}/search-plugins/sql/ppl/index).
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2. Use [event analytics]({{site.url}}{{site.baseurl}}/observability-plugin/event-analytics) to turn data-driven events into visualizations.
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
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3. Create [operational panels]({{site.url}}{{site.baseurl}}/observability-plugin/operational-panels) and add visualizations to compare data the way you like.
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
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4. Use [log analytics]({{site.url}}{{site.baseurl}}/observability-plugin/log-analytics) to transform unstructured log data.
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5. Use [trace analytics]({{site.url}}{{site.baseurl}}/observability-plugin/trace/index) to create traces and dive deep into your data.
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
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6. Leverage [notebooks]({{site.url}}{{site.baseurl}}/observability-plugin/notebooks) to combine different visualizations and code blocks that you can share with team members.
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
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