MQ Integration Part - 3

In this video you will learn about lab setup for MQ Integration. You need 3 things for it. 1. DataPower: You can view relevant video on my channel to understand installation on Mac or Windows. 2. MQ Server: Watch this video to understand the setup. 3. Postman: You can install it as part of VS code plugin (or even stand alone). ---------- Installation of MQ Server Prerequisite: Ensure that you have docker engine installed on your PC. Step 1: Download image from IBM Container registry. docker pull icr.io/ibm-messaging/mq:latest Step 2: Create a volume docker volume create qm1data Step 3: Run the image docker run --env LICENSE=accept --env MQ_QMGR_NAME=QM1 --volume qm1data:/mnt/mqm --publish 1414:1414 --publish 9443:9443 --detach --env MQ_APP_PASSWORD=passw0rd --env MQ_ADMIN_PASSWORD=passw0rd --name QM1 icr.io/ibm-messaging/mq:latest Step 4 [Optional]: Get into running container docker exec -ti QM1 bash Step 5 [Optional]: Print version dspmqver Your MQ server web console is located at https://localhost:9443/ and is accessible with following credentials user name = admin password = use the password that you specified in MQ_ADMIN_PASSWORD while running docker Your applications would authenticate using below credentials user name = app password = use the password that you specified in MQ_APP_PASSWORD while running docker There is no need to do any further configurations in MQ server. Following details are already available at your disposal. Queue Manager Name: QM1 [This is specified while running docker] Channel Name: DEV.APP.SVRCONN Queue Name: DEV.QUEUE.1 [Created automatically as part of installation] Note: From DataPower, don't use 'localhost' to connect to MQ Queue manager even though both containers are running on the same laptop. Use your computer's eth0 IP address instead. Happy Learning !!