Using Dockerized Agents for ACCELQ test execution

Pull ACCELQ Docker Image from docker.io 

For latest image 

docker pull accelq/accelq-agent:latest 

For specific version 

docker pull accelq/accelq-agent:4.3 

Build ACCELQ Docker Agent from Dockerfile

Download agent dockerfile 

wget https://accelq.s3.amazonaws.com/releases/agents/Dockerized/latest/Dockerfile 

Build docker image 

docker build -t <image_name> 

Example: docker build -t accelq-agent-latest  

 Run ACCELQ Docker Agent(s) 

ACCELQ docker image can take the accelq.properties file’s key-values as environment variables 

You can pass any of the following keys as environment variable to docker run command 

• agent_port 
• accelq_server_url 
• user_id 
• api_key 
• agent_type 
• provider_type 
• provider_username 
• provider_password 
• provider_hostname 
• provider_port 
• project_code 
• tenant_code 
• num_concurrent_jobs 
• num_parallel_tc_per_job 
• http_proxy_host 
• http_proxy_port 
• http_proxy_user 
• http_proxy_password 
• http_proxy_nonproxyhosts 
• https_proxy_host 
• https_proxy_port 
• https_proxy_user 
• https_proxy_user 
• https_proxy_nonproxyhosts 

Start Agent from docker image 

For docker.io image 

docker run -d -e agent_name=<agent_name> -e num_concurrent_jobs=2 -e num_parallel_tc_per_job=2 -e accelq_server_url=<url> -e user_id=<user_Id> -e api_key=<apikey> -e project_code=<projcode> -e tenant_code=<tenant_code> accelq/accelq-agent 

For custom built image 

docker run -d -e agent_name=<agent_name> -e num_concurrent_jobs=2 -e num_parallel_tc_per_job=2 -e accelq_server_url=<url> -e user_id=<user_Id> -e api_key=<apikey> -e project_code=<projcode> -e tenant_code=<tenant_code> <accelq_agent_image_name> 

Once the docker run command succeeds, you will see local agent registered with ACCELQ server.

You may login to ACCELQ and navigate to Resources > Local Agents tab and verify the agent with the given name is displayed.