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Docker images for ColdFusion

Last update:
May 18, 2026
Adobe provides official Docker images for ColdFusion, allowing easy deployment and management of ColdFusion applications in a containerized environment. These images are optimized for performance, security, and scalability.
In this article,

Where to find the images

Key features of ColdFusion Docker images

  • Pre-configured ColdFusion runtime.
  • Support for multiple versions.
  • Automated environment configuration.
  • Licensing flexibility for deployment and production.

Benefits of using ColdFusion Docker images

  • Similar configuration across development, staging, and production.
  • All dependencies bundled into a single image.
  • Scale up or down based on demand using Kubernetes or Docker Swarm.
  • Reduces security risks by isolating runtime from other applications.

Supported ColdFusion releases

ColdFusion version
Supported image tags
Lifecycle status
ColdFusion (2025 release)
2025, latest
Supported
ColdFusion (2023 release)
2023, latest
Supported
ColdFusion (2021 release)
2021
Supported

Pre-requisites

Before using ColdFusion Docker images, ensure your system meets these requirements:

Install Docker

  1. Install Docker on your system. Refer to the Docker Installation Guide for instructions.
  2. Ensure that Docker Desktop is running.

ColdFusion license

System requirements

Set up ColdFusion Docker images

Pull the ColdFusion Docker image. Launch a terminal and run:
docker pull adobecoldfusion/coldfusion:latest
Pull a specific version:
docker pull adobecoldfusion/coldfusion:2025

Run ColdFusion in a container

Launch a container using the following command:
docker run -d -p 8500:8500 --name cf-container adobecoldfusion/coldfusion -e acceptEULA=yes
  • -d: Runs the container in the background.
  • -p 8500:8500: Assigns ColdFusion’s default port to the host machine.
  • --name cf-container: Assigns a name to the container.
  • -e acceptEULA=YES: Accepts the EULA for the container to run.

Configure ColdFusion Using Environment Variables

ColdFusion Docker images support configuration via environment variables. For example:
docker run -d -p 8500:8500 -e acceptEULA=YES -e password=YourSecurePassword -e enableSecureProfile=true --name cf-container adobecoldfusion/coldfusion
To get a list of available environment variables, run:
docker run --rm -it adobecoldfusion/coldfusion:latest help

Required Environment Variables:

  • acceptEULA=YES

Optional Environment Variables:

  • password - ColdFusion administrator password (default: admin)
  • enableSecureProfile - Enables/disables the secure profile (true/false, default: false)
  • configureExternalSessions - Enables/disables external session storage (true/false, default: false)
  • externalSessionsHost - Redis host for external sessions (default: localhost)
  • externalSessionsPort - Redis port for external sessions (default: 6379)
  • externalSessionsPassword - Password for Redis external sessions (default: empty)
  • configureExternalAddons - Enables/disables external add-ons (true/false, default: false)
  • addonsHost - Host for add-on container services (default: localhost)
  • addonsPort - Port for add-on container services (default: 8997)
  • addonsUsername - Username for Solr authentication (default: admin)
  • addonsPassword - Password for Solr authentication (default: admin)
  • addonsPDFServiceName - Name of the PDFg service manager (default: addonsContainer)
  • addonsPDFSSL - Enables/disables SSL for the PDFg service (true/false, default: false)
  • setupScript - Path to a ColdFusion (CFM) script executed on startup (must be in /app)
  • setupScriptDelete - Deletes the setup script after execution (true/false, default: false)
  • language - ColdFusion language (ja/en, default: en)
  • licenseFilePath - Path to ColdFusion license file (must be in /data)
  • licenseEdition - Defines ColdFusion license edition (1 for Enterprise, 2 for Standard)
  • installModules - Comma-separated list of modules to install via CF Package Manager (all to install all)
  • importCFSettings - Path to a JSON file with ColdFusion settings (must be in /app)
  • importCFSettingsPassphrase - Passphrase for encrypted CF settings
  • importModules - Path to a text file containing packages to be imported (must be in /app)
  • deploymentType - ColdFusion deployment type (1 for Production, 2 for Development, 3 for Staging, 4 for Testing, 5 for Disaster Recovery)
  • profile - ColdFusion profile (1 for Production + Secure, 2 for Production, 3 for Development)
  • allowedAdminIPList - List of IP addresses allowed to access the ColdFusion Administrator
  • cfsecretPath - Directory for storing secrets (default: /run/secrets)
  • cfconfigPath - Directory for storing configurations (default: /configname)
  • CCSNodes - List of client nodes for the CCS server (e.g., localhost:8500 key1 (true/false))
  • startCCS - Starts CCS server (true/false, default: false)

Environment Variable Updates in ColdFusion (2025 release)

New Variables:
  • licenseFilePath
  • licenseEdition
  • cfsecretPath
  • cfconfigPath
  • CCSNodes
  • startCCS
Changes in Variable Usage:
  • deploymentType now accepts numerical values (1-5) instead of string-based values.
  • profile now uses numerical values (1-3) instead of text-based labels.
  • allowedAdminIPList can now be set for any ColdFusion profile, whereas in CF 2023 and earlier, it was only applicable to the Production + Secure profile.
Discontinued Variable:
  • serial is no longer supported in CF 2025. It remains available for CF 2023 and earlier for license activation.

Supported Commands with ColdFusion Containers

  • help
  • start
  • info
  • cli <.cfm>

ColdFusion Container Management

Starting a Container

docker start cf-container

Stopping a Container

docker stop cf-container

Removing a Container

docker rm -f cf-container

Utilizing Docker Compose

Docker Compose enables the definition and execution of multiple services (such as a web application or a database) via a single configuration file (docker-compose.yml). Instead of manually executing multiple docker run commands, you can streamline the process by defining everything in a YAML file and initiating it with:
docker-compose up -d

Integrating ColdFusion with a MySQL Database

In this example, we extend the ColdFusion base image to include a MySQL driver and configure a MySQL datasource using ColdFusion’s Admin API.
Dockerfile
FROM coldfusion:latest 
COPY mysql-connector-java-commercial-8.0.11-bin.jar /opt/coldfusion/cfusion/lib
Note: Ensure that mysql-connector-java-commercial-8.0.11-bin.jar is available in the current working directory.
ColdFusion Admin API Script
Create a file named setupColdFusion.cfm in the webroot to configure the MySQL datasource:
<cfscript> 
   // Authenticate with ColdFusion Administrator 
   adminObj = createObject("component","CFIDE.adminapi.administrator"); 
   adminObj.login("ColdFusion123"); // ColdFusion Admin password 
    
   // Establish a MySQL datasource 
   datasource = createObject("component", "CFIDE.adminapi.datasource"); 
   datasource.setMySQL5("SampleMYSqlDB", "database-host", "testDB"); 
</cfscript>

Configuring Docker Compose

To build and launch the container, create a docker-compose.yml file in a directory separate from the one containing Dockerfile and setupColdFusion.cfm. Ensure that the directory holding these files is named app.
docker-compose.yml
version: "3" 
services: 
    coldfusion: 
        container_name: myapp 
        build: 
          context: ./app 
          dockerfile: Dockerfile 
        image: app 
        depends_on: 
        - redis 
        - addons 
        ports: 
        - "8500:8500" 
        volumes: 
        - "/opt/wwwroot:/app" 
        env_file: 
        - coldfusion.env 
        healthcheck: 
           test: curl -f http://addons:8989/solr/ || exit 1 
           interval: 1m 
           timeout: 3s 
        deploy: 
           mode: replicated 
           replicas: 2 
           restart_policy: 
              condition: on-failure 
           update_config: 
              parallelism: 1 
              delay: 10s 
        networks: 
        - webnet 
 
    addons: 
        container_name: mycfaddons 
        image: addons 
        environment: 
        - acceptEULA=YES 
        ports: 
        - "8989:8989" 
        networks: 
        - webnet 
 
    redis: 
        container_name: myredis 
        image: redis:latest 
        ports: 
        - "6381:6379" 
        volumes: 
        - "redis_data:/data" 
        networks: 
        - webnet 
 
volumes: 
    redis_data: 
 
networks: 
    webnet:
ColdFusion.env
Create a .env file (coldfusion.env) with the following content:
acceptEULA=YES 
 setupScript= setupColdFusion.cfm
 password=ColdFusion123

Executing Docker Compose

Launch all services using:
docker-compose up -d 
The docker-compose.yml file defines a multi-container setup using Docker Compose. It specifies three main services—ColdFusion, Redis, and Addons—and configures their dependencies, networking, and deployment settings.
The setupColdFusion.cfm script executes automatically upon container startup, ensuring that the MySQL datasource is properly configured. Access the ColdFusion Administrator to verify the setup.

Docker Secrets

Docker secrets allow secure management of sensitive data in a Swarm environment. These secrets are encrypted both in transit and at rest and can only be accessed by services explicitly granted permission—only while their tasks are running.
Using Secrets in ColdFusion
In ColdFusion, you can securely pass sensitive credentials such as:
  • ColdFusion Administrator Password
  • CF Add-ons Password
  • CF External Session Storage Password (Redis Password)
These credentials can be stored as Docker secrets. The secret names must match the corresponding environment variable names:
  • password → ColdFusion Admin Password
  • addonsPassword → CF Add-ons Password
  • externalSessionsPassword → Redis Password
Example: Changing ColdFusion Admin Password
To change the ColdFusion Administrator console password inside a container, create a Docker secret named password. When the container starts, it automatically picks up this secret and updates the Administrator password accordingly.

Secret Storage Location

By default, secrets are available inside containers at:
/run/secrets/<secret_name>
If you need to store them in a custom location, specify the path using the cfsecretPath environment variable.

How to Create a Docker Secret

Create a Secret from a String
printf "myCFcomplexPassword" | docker secret create password - 
Create a Secret from a File
docker secret create password ./secret.txt 
Contents of secret.txt
myCFcomplexPassword 

Sample docker-compose.yml configuration

version: "3.3" 
services: 
  coldfusion: 
    image: adobecoldfusion/coldfusion:latest 
    ports: 
      - "8501:8500" 
    env_file: 
      - variables.env 
    volumes: 
      - "./mynewwebroot:/app" 
    networks: 
      - webnet 
    secrets: 
      - source: password 
        target: /opt/secrets/password 
 
networks: 
  webnet: 
 
secrets: 
  password: 
    external: true

Sample variables.env File

acceptEULA=YES 
 password=ColdFusion123 
 cfsecretPath=/opt/secrets/

Secret Precedence in ColdFusion

If the same password is defined both as an environment variable and as a Docker secret, the secret takes precedence. In the example above, the CF Admin Console password will be myCFcomplexPassword, as it is retrieved from /opt/secrets/password, defined via cfsecretPath.

Managing Docker Configs for ColdFusion

Overview

Docker configs store non-sensitive configuration data in a Docker Swarm environment. They function similarly to secrets but are not encrypted at rest.

Storing ColdFusion Configuration in Docker Configs

ColdFusion supports storing the following environment variables in Docker configs:
  • enableSecureProfile
  • configureExternalSessions
  • externalSessionsHost
  • externalSessionsPort
  • externalSessionsPassword
  • configureExternalAddons
  • addonsHost
  • addonsPort
  • addonsUsername
  • addonsPassword
  • addonsPDFServiceName
  • addonsPDFSSL
  • setupScript
  • setupScriptDelete
  • language
  • installModules
  • importCFSettings
  • importCFSettingsPassphrase
  • deploymentType
  • profile
  • allowedAdminIPList
You can create a config with the same name as the configuration key (e.g., enableSecureProfile) or store multiple configurations in a single config file named cfconfig.
By default, configs are available in the container under /<config_name>. You can specify a different path using the cfconfigPath environment variable.

Creating a Docker Config

Create a config from a command:
printf "scheduler" | docker config create installModules -
Create a config from a file:
docker config create cfconfig ./cfconfig.txt
Example cfconfig.txt file:
enableSecureProfile=true 
language=en 
installModules=debugger 
setupScript=c.cfm 
profile=Production Secure 
setupScriptDelete=false 
deploymentType=Staging 
allowedAdminIPList=*.*.*.* 
importCFSettings=cfsetupexport.json 
importCFSettingsPassphrase=coldfusion123

Example docker-compose.yml configuration

version: "3.3" 
services: 
  coldfusion1: 
    image: adobecoldfusion/coldfusion:latest 
    ports: 
      - "8500:8500" 
    env_file: 
      - variables.env 
    volumes: 
      - "./mynewwebroot/:/app" 
    networks: 
      - webnet 
    secrets: 
      - source: password 
        target: /run/secrets/password 
    configs: 
      - source: cfconfig 
        target: /opt/config/cfconfig 
configs: 
  cfconfig: 
    external: true 
networks: 
  webnet: 
secrets: 
  password: 
    external: true

Running ColdFusion with Docker Swarm

docker swarm init 
 docker stack deploy -c compose1.yml UsingCFConfig
Storing ColdFusion Config in JSON Format
The cfconfig file can store key-value pairs for each configuration setting or be formatted as a JSON file.
Sample config.json file:
{ 
  "enableSecureProfile": "YES", 
  "language": "ja" 
}
Example docker-compose.yml Using JSON config:
version: "3.3" 
services: 
  coldfusion1: 
    image: adobecoldfusion/coldfusion:latest 
    ports: 
      - "8501:8500" 
    env_file: 
      - variables.env 
    networks: 
      - webnet 
    secrets: 
      - source: password 
        target: /run/secrets/password 
    configs: 
      - source: cfconfig 
        target: /opt/config/cfconfig 
configs: 
  cfconfig: 
    file: config.json 
networks: 
  webnet: 
secrets: 
  password: 
    external: true
Example variables.env file:
acceptEULA=YES 
 cfconfigPath=/opt/config
Commands to start the container:
docker swarm init 
 docker stack deploy -c docker-compose.yml cfconfig.json

Configuration Precedence: Environment Variables vs. Docker Configs

When a configuration is defined in both an environment variable and a Docker config, Docker gives precedence to the config.
Example scenario:
printf "cfmongodb" | docker config create installModules - 
 docker config create cfconfig ./cfconfig.txt
Example cfconfig.txt file:
acceptEULA=YES 
 installModules=scheduler
Example variables.env file:
installModules=debugger
Precedence Rules:
  1. installModules is defined in:
    1. A separate Docker config (installModules)
    2. A multi-setting config (cfconfig)
    3. An environment variable (installModules in variables.env)
  2. Docker prioritizes configs over environment variables.
  3. The installModules config takes precedence, so cfmongodb is installed.
  4. If installModules were not defined as a separate config, the system would read from cfconfig.
  5. If neither config were defined, the environment variable would be used.

Central Configuration Server

You can start the CCS server and add nodes automatically during container startup using the ColdFusion Docker image. Configure the setup with the following environment variables:
CCSNodes
The CCSNodes variable contains a list of client nodes that will connect to the CCS server.
Each node should be formatted as:
hostname:port secretkey (true/false)
  • hostname: The client's hostname or IP address.
  • port: The port number used for communication.
  • secretkey: A unique key for authentication, found in <cf_instancehome>/lib/ccs/ccs.properties.
  • true/false: Indicates whether SSL is enabled (true for enabled, false for disabled). By default it is false.
Example:
hostname1:8500 mySecretKey1 true;hostname2:8501 mySecretKey2;hostname3:8502 mySecretKey3 false
Separate multiple client nodes with a semicolon (;).
If SSL is enabled for a node, set the last parameter to true; otherwise, leave it empty or set it to false.
startCCS
Set to true or false (default) to enable or disable CCS during startup.

Running the ColdFusion Container with CCS

Use the following docker run command:
docker run -dt -e acceptEULA=YES -p 8501:8500 -p 7071:7071 \ 
  -e startCCS=true -e CCSNodes="cfhost1:8500 key1;cfhost2:8443 key2 true;cfhost3:8502 key3" adobecoldfusion/coldfusion:latest

Using Docker Config for CCS

You can also configure CCS via a Docker config file. Example:
config.json
{ 
  "language": "ja", 
  "deploymentType": 1, 
  "profile": 2, 
  "startCCS": true, 
  "CCSNodes": "node1:8500 key1 false;node2:8443 key2 true" 
}
docker-compose.yml
version: "3.3" 
services: 
  coldfusion1: 
    image: adobecoldfusion/coldfusion:latest 
    ports: 
      - "8701:8500" 
    env_file: 
      - variables.env 
    volumes: 
      - "./mynewwebroot/:/app" 
      - "./mydata:/data" 
    networks: 
      - webnet 
    configs: 
      - source: cfconfig 
        target: /opt/config/cfconfig 
 
configs: 
  cfconfig: 
    file: config.json 
 
networks: 
  webnet:
variables.env
acceptEULA=YES 
 cfconfigPath=/opt/config

Deploying CCS with Docker Swarm

Once everything is set up, initialize Docker Swarm and deploy the stack:
docker swarm init 
 docker stack deploy -c docker-compose.yml ccsserver
Note:
Docker secrets, config, and CCS server are only available with ColdFusion (2025 release).

ColdFusion Add-ons and Performance Monitoring Toolset

ColdFusion Add-ons

ColdFusion add-ons provide additional services like Solr (search) and PDFG (PDF Generation). These add-ons can run as separate Docker containers alongside your ColdFusion server using Docker Compose for better orchestration.

Pulling the ColdFusion Add-ons Image

ColdFusion add-ons images are available on Amazon ECR and Docker Hub.
From ECR:
docker pull public.ecr.aws/adobe/coldfusionaddons:latest 
 docker pull public.ecr.aws/adobe/coldfusionaddons:latest-2025 
 docker pull public.ecr.aws/adobe/coldfusionaddons2023:latest
From Docker Hub:
docker pull adobecoldfusion/coldfusionaddons:latest-2025 
 docker pull adobecoldfusion/coldfusionaddons:latest-2023 
 docker pull adobecoldfusion/coldfusionaddons2023:latest

Supported Environment Variables

Required:
acceptEULA=YES
Optional:
solrUsername=<SOLR-USERNAME> 
 solrPassword=<SOLR-PASSWORD>

Running ColdFusion Add-ons Containers

Basic usage:
docker run -dt -p 8993:8995 -e acceptEULA=YES public.ecr.aws/adobe/coldfusionaddons:latest start  

Specify Solr credentials:

docker run -dt -p 8994:8995 -e acceptEULA=YES -e solrUsername=admin -e solrPassword=admin adobecoldfusion/coldfusionaddons:latest

Performance Monitoring Toolset (PMT)

Before running PMT in a container, ensure system limits are set correctly:
ulimit -n 65536  
 sysctl -w vm.max_map_count=262144

Pulling the PMT Image

PMT images are available on Amazon ECR and Docker Hub.
From ECR:
docker pull public.ecr.aws/adobe/pmt:latest 
 docker pull public.ecr.aws/adobe/pmt:latest-2025 
 docker pull public.ecr.aws/adobe/pmt2021:latest
From Docker Hub:
docker pull adobecoldfusion/pmt:latest 
 docker pull adobecoldfusion/pmt:latest-2023 
 docker pull adobecoldfusion/pmt2021:latest
Supported Environment variables:
Required:
acceptEULA=YES 
 datastoreHost=<DATASTORE-HOSTNAME> 
 datastorePort=<DATASTORE-PORT>
Optional:
startPMT=true # Default: true 
 startDatastore=true # Default: true 
 dataStoreNodeName=<Cluster Node Name> 
 dataStoreMaster=true # Default: true (Set false for additional nodes) 
 dataStoreNodes=["host1:port1", "host2:port2"]

Running PMT Containers

docker run -dt -p 9101:9101 -e acceptEULA=YES \ 
 -e datastoreHost=<ElasticSearchHostName> \ 
 -e datastorePort=<ElasticSearchPort> \ 
 -e startDatastore=false \ 
 adobecoldfusion/pmt:latest start

Running ColdFusion and PMT with Docker Compose

Environment Files
pmt.env
acceptEULA=YES 
 datastoreHost=pmt 
 datastorePort=9200 
 startDatastore=true
coldfusion.env
acceptEULA=YES 
 password=ColdFusion123
docker-compose.yml
version: "3" 
services: 
  coldfusion: 
    container_name: coldfusion 
    image: coldfusion:2023.0.7 
    ports: 
      - "8500:8500" 
    volumes: 
      - "./webroot:/app" 
    env_file: 
      - coldfusion.env 
    healthcheck: 
      test: curl -f http://localhost:8500/ 
      interval: 1m 
      timeout: 3s 
    networks: 
      - webnet 
 
  pmt: 
    container_name: pmt 
    image: adobecoldfusion/pmt:2023.0.0 
    depends_on: 
      - coldfusion 
    ports: 
      - "9101:9101" 
    env_file: 
      - pmt.env 
    healthcheck: 
      test: curl -f http://localhost:9101/ 
      interval: 1m 
      timeout: 3s 
    networks: 
      - webnet 
 
networks: 
  webnet:
This setup ensures that both ColdFusion and PMT run together in a well-orchestrated Docker environment.

ColdFusion API Manager Docker Image

The Docker image for ColdFusion API Manager (APIM) is available on both Amazon ECR and Docker Hub. You can pull the latest images using the following commands:

Pulling the API Manager Image

From Amazon ECR:
docker pull public.ecr.aws/adobe/apimanager:latest   
 docker pull public.ecr.aws/adobe/apimanager:latest-2023   
 docker pull public.ecr.aws/adobe/apimanager2023:2023.0.12
From Docker Hub:
docker pull adobecoldfusion/apimanager:latest   
 docker pull adobecoldfusion/apimanager:latest-2025   
 docker pull adobecoldfusion/apimanager2023:latest
Environment Variables
To view the list of supported environment variables, run:
docker run --rm -it public.ecr.aws/adobe/apimanager:latest help   
Supported Commands:
  • help
  • start <.cfm>
Required Environment Variables:
  • apim_acceptEULA=YES
Optional Environment Variables:
  • apim_serial=<Serial Key>
  • apim_previousSerial=<Previous Serial Key (Upgrade)>
  • apim_password=<API Manager Admin Password>
  • apim_datastoreHost=<Datastore Hostname>
  • apim_datastorePort=<Datastore Port>
  • apim_datastorePassword=<Redis (Datastore) Password>
  • apim_datastoreSeed=<Datastore Encryption Seed>
  • apim_analyticsHost=<Analytics Server Hostname>
  • apim_analyticsPort=<Analytics Server Port>
  • apim_analyticsClusterPort=<Analytics Server Cluster Port>
  • apim_analyticsClusterName=<ElasticSearch Cluster Name>

Usage

Running API Manager from Amazon ECR:
docker container run -dt \ 
  -e apim_ acceptEULA=YES \ 
  -e apim_ datastoreHost=<Datastore Hostname> \ 
  -e apim_ datastorePort=<Datastore Port> \ 
  -e apim_ analyticsHost=<Analytics Server Hostname> \ 
  -e apim_ analyticsPort=<Analytics Server Port> \ 
  -e apim_ analyticsClusterPort=<Analytics Server Cluster Port> \ 
  -e apim_ analyticsClusterName=<ElasticSearch Cluster Name> \ 
  public.ecr.aws/adobe/apimanager:latest
Running API Manager from Docker Hub:
docker run -dt -p 8500:8500 \ 
  -e apim_ acceptEULA=YES \ 
  -e apim_ datastoreHost=<Hostname> \ 
  -e apim_ datastorePort=6378 \ 
  -e apim_ analyticsHost=10.42.70.250 \ 
  -e apim_ analyticsPort=9201 \ 
  -e apim_ analyticsClusterPort=<Cluster Port> \ 
  -e apim_ analyticsClusterName=<ElasticSearch Cluster Name> \ 
  apimanager:latest
Docker Compose Configuration
The following is a sample docker-compose.yml configuration:
version: "3" 
services:   
  analytics:   
    container_name: analytics   
    image: public.ecr.aws/adobe/apimanageraddons:latest   
    env_file:   
      - analytics.env   
    networks:   
      - webnet   
 
  datastore:   
    container_name: datastore   
    image: public.ecr.aws/adobe/apimanageraddons:latest   
    env_file:   
      - datastore.env   
    networks:   
      - webnet   
    ports:   
      - "9200:9200"   
      - "9300:9300"   
 
  apim:   
    container_name: apimanager   
    image: public.ecr.aws/adobe/apimanager:latest   
    ports:   
      - "9000:9000"   
    env_file:   
      - apimanager.env   
    networks:   
      - webnet   
    depends_on:   
      - datastore   
 
networks:   
  webnet:

Environment Files

apimanager.env
apim_ acceptEULA=YES   
 apim_ serial=<enter serial number>   
 apim_Password=APIManager123   
 apim_ datastoreHost=datastore   
 apim_ datastorePort=6379   
 apim_ datastorePassword=MyRedisPassword   
 apim_ analyticsHost=analytics   
 apim_ analyticsPort=9200   
 apim_ analyticsClusterPort=9300   
 apim_ analyticsClusterName=apim-analytics
analytics.env
acceptEULA=YES
 startAnalyticsService=true
 analyticsClusterName=apim-analytics
datastore.env
acceptEULA=YES
 startDatastoreService=true
 datastorePassword=MyRedisPassword

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