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release 2.18.0
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CHANGELOG.md

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# 2.TBD.TBD
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## Breaking changes
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- TBD
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## New features
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- TBD
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## Other changes
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- TBD
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# 2.18.0
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## Breaking changes
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- Renamed PR #1193's `fields` common rule option to `include_fields` due to collision with `new_term` rule type's existing `field` parameter - [#1408](https://github.com/jertel/elastalert2/pull/1408) - @jertel
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chart/elastalert2/Chart.yaml

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apiVersion: v1
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description: Automated rule-based alerting for Elasticsearch
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name: elastalert2
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version: 2.17.0
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appVersion: 2.17.0
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version: 2.18.0
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appVersion: 2.18.0
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home: https://github.com/jertel/elastalert2
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sources:
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- https://github.com/jertel/elastalert2

chart/elastalert2/README.md

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| Parameter | Description | Default |
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|----------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------|
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| `image.repository` | docker image | jertel/elastalert2 |
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| `image.tag` | docker image tag | 2.17.0 |
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| `image.tag` | docker image tag | 2.18.0 |
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| `image.pullPolicy` | image pull policy | IfNotPresent |
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| `image.pullSecret` | image pull secret | "" |
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| `deploymentAnnotations` | Annotations to be added to deployment | {} |

chart/elastalert2/values.yaml

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# docker image
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repository: jertel/elastalert2
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# docker image tag
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tag: 2.17.0
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tag: 2.18.0
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pullPolicy: IfNotPresent
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pullSecret: ""
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docs/source/running_elastalert.rst

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Be aware that the ``latest`` tag of the image represents the latest commit into
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the master branch. If you prefer to upgrade more slowly you will need utilize a
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versioned tag, such as ``2.17.0`` instead, or ``2`` if you are comfortable with
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versioned tag, such as ``2.18.0`` instead, or ``2`` if you are comfortable with
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always using the latest released version of ElastAlert 2.
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A properly configured config.yaml file must be mounted into the container during

setup.py

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base_dir = os.path.dirname(__file__)
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setup(
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name='elastalert2',
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version='2.17.0',
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version='2.18.0',
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description='Automated rule-based alerting for Elasticsearch',
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long_description=open('README.md').read(),
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long_description_content_type="text/markdown",

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