danielscholl / elastic-aci

Playground for Elastic Search local and in Azure

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Instructions

Run local

Note: WSL & Docker memory issue see fix

# Create a network to be used by Elastic Search and Kabana
docker network create elastic

# Create a docker container for Elastic Search
docker run \
    --name elasticsearch \
    --net elastic \
    -d \
    -p 9200:9200 \
    -e discovery.type='single-node' \
    -e xpack.security.enabled=false \
    -e ES_JAVA_OPTS="-Xms1g -Xmx1g"\
    docker.elastic.co/elasticsearch/elasticsearch:8.5.3

# Validate Elastic Running
curl http://localhost:9200

# Start Kibana
docker run \
    --name kibana \
    --net elastic \
    -d \
    -p 5601:5601 \
    docker.elastic.co/kibana/kibana:8.5.3

Run Container Instance

LOCATION="eastus"

dateYMD=$(date +%Y%m%dT%H%M%S%NZ)
GROUP="elastic-search"
NAME="instance-${dateYMD}"
TEMPLATEFILE="main.bicep"
PARAMETERS="@parameters.json"


az deployment sub create \
  --name ${NAME:0:63} \
  --location $LOCATION \
  --template-file $TEMPLATEFILE \
  --parameters $PARAMETERS


$fqdn = az container show -g $resourceGroup -n $containerGroupName --query ipAddress.fqdn -o tsv

Sample .env file

# Password for the 'elastic' user (at least 6 characters)
ELASTIC_PASSWORD=

# Password for the 'kibana_system' user (at least 6 characters)
KIBANA_PASSWORD=

# Version of Elastic products
STACK_VERSION=8.2.3

# Set the cluster name
CLUSTER_NAME=docker-cluster

# Set to 'basic' or 'trial' to automatically start the 30-day trial
LICENSE=basic
#LICENSE=trial

# Port to expose Elasticsearch HTTP API to the host
ES_PORT=9200
#ES_PORT=127.0.0.1:9200

# Port to expose Kibana to the host
KIBANA_PORT=5601
#KIBANA_PORT=80

# Increase or decrease based on the available host memory (in bytes)
MEM_LIMIT=1073741824

# Project namespace (defaults to the current folder name if not set)
#COMPOSE_PROJECT_NAME=myproject

Reference Notes

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Playground for Elastic Search local and in Azure


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