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[[ecs-getting-started]] | ||
=== Getting Started | ||
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ECS enables and encourages users to normalize event data in order | ||
to better analyze, visualize, and correlate their events. Collected events | ||
can be normalized at ingest time, consistently searched across indices, | ||
and visualized predictably. | ||
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||
Note that when adopting an Elastic solution, such as https://www.elastic.co/observability[Observability] | ||
or https://www.elastic.co/security[Security], all events will map to ECS out of the box. Elastic | ||
provides an extensive set of https://www.elastic.co/integrations[integrations] to simplify | ||
ingesting your data sources. | ||
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If you rely on custom data pipelines and/or building content around specific needs, | ||
ECS can still help to alleviate the challenges of searching, analyzing, and visualizing | ||
across your data. Let's see how using a common schema can simplify the search experience, | ||
and then take a look at how an event's contents can be mapped to ECS field sets. | ||
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[float] | ||
==== Simplified Search | ||
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With ECS defining a normalized schema across all of your data sources, querying | ||
against those sources is simplified. Consider searching for a particular source IP | ||
address prior to adopting ECS. All the various data sources and their field mappings | ||
would need to be considered in your query: | ||
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[source,sh] | ||
----------- | ||
src:10.42.42.42 OR client_ip:10.42.42.42 OR apache.access.remote_ip:10.42.42.42 OR | ||
context.user.ip:10.42.42.42 OR src_ip:10.42.42.42 | ||
----------- | ||
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With all sources mapped to ECS, the query becomes much simpler: | ||
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[source,sh] | ||
----------- | ||
source.ip:10.42.42.42 | ||
----------- | ||
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Not only does this simplify writing queries, but saved queries shared with other | ||
users become much more obvious. To gain familiarity with ECS fields, you can also | ||
take a look at the <<ecs-field-reference>> section. | ||
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[float] | ||
==== Unified Visualizations | ||
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With normalized data from different data sources, building insightful visualizations | ||
across sources is simple. From a single, centralized dashboard, events from web servers, | ||
IDS/IPS devices, and firewalls can be aggregated and visualized, and enhanced with drill-downs, | ||
and pivoting for delving into deeper investigations. Centralized monitoring of diverse data | ||
sources is straightforward with normalized ECS data. | ||
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[role="screenshot"] | ||
image:images/ecs-getting-started-dashboard.png[Simplify visualization using ECS] | ||
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[float] | ||
==== Translating Data Sources | ||
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To align events to ECS, some sort of parsing will usually be necessary | ||
to transform the contents of the original event into the relevant ECS fields. Depending on | ||
how you've designed your Elastic Stack data ingestion pipelines, the amount of work to parse | ||
your events will vary. | ||
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For example, an Apache web server log event: | ||
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[source,sh] | ||
----------- | ||
10.42.42.42 - - [15/Jul/2020:20:48:32 +0000] "GET /content HTTP/1.1" 200 2571 "-" | ||
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_4) AppleWebKit/537.36 (KHTML, like Gecko) | ||
Chrome/83.0.4103.106 Safari/537.36" | ||
----------- | ||
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In order to map this event to ECS, the contents of the event is associated with the | ||
appropriate ECS fields. | ||
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[options="header"] | ||
|===== | ||
| Field Name | Value | ||
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// =============================================================== | ||
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| @timestamp | ||
| `2020-07-15T20:20:48.000Z` | ||
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// ============================================================== | ||
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| event.original | ||
| 10.42.42.42 - - [15/Jul/2020:20:48:32 +0000] "GET /content HTTP/1.1" 200 2571 "-" | ||
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_4) AppleWebKit/537.36 (KHTML, like Gecko) | ||
Chrome/83.0.4103.106 Safari/537.36 | ||
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// ============================================================== | ||
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| http.request.method | ||
| GET | ||
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// ============================================================== | ||
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| http.response.body.bytes | ||
| 2571 | ||
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// ============================================================== | ||
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| http.response.status_code | ||
| 200 | ||
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// ============================================================== | ||
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| http.version | ||
| 1.1 | ||
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// ============================================================== | ||
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| message | ||
| GET /content HTTP/1.1" 200 2571 "-" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.106 Safari/537.36 | ||
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// ============================================================== | ||
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| source.address | ||
| 10.42.42.42 | ||
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// ============================================================== | ||
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| source.ip | ||
| 10.42.42.42 | ||
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// ============================================================== | ||
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| url.original | ||
| `/content` | ||
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// ============================================================== | ||
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| user_agent.original | ||
| `Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.106 Safari/537.36` | ||
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|===== | ||
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Beyond extracting values that are present in the original event, we also populate | ||
other fields to provide additional context about the event itself. | ||
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* `ecs.version`: States which version of ECS the ingest pipeline was developed against. | ||
* `event.dataset` and `event.module`: Answers "where is this event from" and are expected to have a | ||
hardcoded value per pipeline, per source. | ||
* `event.kind`, `event.category`, `event.type`, and `event.outcome`: The https://www.elastic.co/guide/en/ecs/current/ecs-category-field-values-reference.html[categorization fields] | ||
should also be hardcoded using knowledge of each type of event the source emits. The contents of | ||
these fields are limited to the specifically allowed values detailed in the ECS documentation. | ||
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[options="header"] | ||
|===== | ||
| Field Name | Value | ||
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// =============================================================== | ||
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| ecs.version | ||
| 1.5.0 | ||
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// ============================================================== | ||
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| event.module | ||
| apache | ||
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// =============================================================== | ||
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| event.dataset | ||
| apache.access | ||
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// ============================================================== | ||
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| event.kind | ||
| event | ||
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// =============================================================== | ||
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| event.category | ||
| [ "web", "access" ] | ||
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// ============================================================== | ||
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| event.outcome | ||
| success | ||
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|===== | ||
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Lastly, existing field values can be interpreted or enriched using a processor, with the results | ||
populating additional fields in the final event. | ||
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* The `user_agent` processor extracts details from the original user agent string, `user_agent.original`. | ||
* IP fields like `source.ip` can provide enrichment using the `geopip` processor to add information about the | ||
location and autonomous system number (ASN) associated with an IP address. | ||
* The `registered domain` processor reads a field containing a hostname and writes the registered domain to | ||
another field | ||
* Event collectors, such as https://www.elastic.co/guide/en/beats/libbeat/current/beats-reference.html[Beats], can enrich | ||
each event with metadata from the machine's hosting provider (cloud) and/or from the host machine (host). | ||
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Here are some examples of additional fields processed by metadata or parser processors. | ||
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[options="header"] | ||
|===== | ||
| Field Name | Value | Processor | ||
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// ============================================================== | ||
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| host.architecture | ||
| x86_64 | ||
| `add_host_metadata` | ||
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// ============================================================== | ||
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| host.hostname | ||
| mbp.example.com | ||
| `add_host_metadata` | ||
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// ============================================================== | ||
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| host.ip | ||
| [ "192.168.1.100" ] | ||
| `add_host_metadata` | ||
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// ============================================================== | ||
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| host.os.family | ||
| darwin | ||
| `add_host_metadata` | ||
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// ============================================================== | ||
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| host.os.kernel | ||
| 19.4.0 | ||
| `add_host_metadata` | ||
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// ============================================================== | ||
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| host.os.name | ||
| Mac OS X | ||
| `add_host_metadata` | ||
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// ============================================================== | ||
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| host.os.version | ||
| 10.15.4 | ||
| `add_host_metadata` | ||
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// ============================================================== | ||
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| user_agent.name | ||
| Chrome | ||
| `user_agent` | ||
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// ============================================================== | ||
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| user_agent.os.full | ||
| Mac OS X 10.15.4 | ||
| `user_agent` | ||
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// ============================================================== | ||
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| user_agent.os.name | ||
| Mac OS X | ||
| `user_agent` | ||
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// ============================================================== | ||
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| user_agent.os.version | ||
| 10.15.4 | ||
| `user_agent` | ||
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// ============================================================== | ||
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| user_agent.version | ||
| 83.0.4103.106 | ||
| `user_agent` | ||
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|===== | ||
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[float] | ||
==== Field Mapping Reference Guides | ||
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We've covered at a high level how to map your events to ECS. Now if you'd like your events to render well in the Elastic | ||
solutions, check out the reference guides below to learn more about each: | ||
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* https://www.elastic.co/guide/en/logs/guide/current/logs-fields-reference.html[Logs UI fields reference] | ||
* https://www.elastic.co/guide/en/security/master/siem-field-reference.html[Elastic Security fields reference] |
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