Installer
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What you’ll learn
- This installer prepare Elasticsearch and Kibana for Canarytrace use
- What is the configuration options?
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What is Canarytrace Installer?Canarytrace is known as plug'n'play stack and it's means, that first run is very quickly and doesn't require lengthy set up. Set up Elasticsearch and Kibana it's also fast, thanks to prepared Canarytrace Installer.
- Latest supported version of Elasticsearch and Kibana is 7.17.3 and 8.2.0
- Installer is dockerized
- Ready for Canarytrace for DevOps and for Canarytrace Pro
- Ready for local use
- Ready for use on elastic.co
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What does installation contain?- Install index patterns
- Index patterns tell Kibana which Elasticsearch indices you want to explore. An index pattern can match the name of a single index, or include a wildcard (*) to match multiple indices.
- Install templates
- An index template is a way to tell Elasticsearch how to configure an index when it is created.
- Install visualizations
- Visualize enables you to create visualizations of the data from your Elasticsearch indices, which you can then add to dashboards for analysis.
- Install dashboards
- A dashboard is a collection of visualizations, searches, and maps, typically in real-time. Dashboards provide at-a-glance insights into your data and enable you to drill down into details.
- Install search
- Saved search / view in Kibana.
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Docker imageCanarytrace Installer is available in our docker registry https://quay.io/repository/canarytrace/installer
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Set up Elasticsearch and Kibana on localhostPrerequisites
Run Canarytrace Installer
- Please, use always latest version
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Command LineThis setting allows you to change the default setting. For example, Elasticsearch runs somewhere in the cloud.
ELASTIC_ENDPOINT=http://localhost
for local installation of Elasticsearch orelasticsearch
if you use--net canary
bridge orhttps://1234.eu-central-1.aws.cloud.es.io
if you use elastic.coELASTIC_PORTT=9200
this is a default REST-API port of ElasticsearchELASTIC_INDEX_PREFIX=c
default isc
, e.g. indexc.report-*
ELASTIC_USER=elastic
ELASTIC_PASS=12345
KIBANA_ENDPOINT=http://localhost
for local installation of Elasticsearch orkibana
if you use--net canary
bridge or `https://1234.eu-central-1.aws.KIBANA_PORT=5601
KIBANA_USER=elastic
KIBANA_PASS=@josePh8
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Example with docker-compose and elastic.codocker-compose contains configuration for prepare Elasticsearch and Kibana on elastic.
docker-compose.yaml
save the code to a file docker-compose.yaml
and run docker-compose up
- Do you find mistake or have any questions? Please create issue, thanks 👍
- Have more questions? Contact us.