Mystique Unicorn's developers are seeking assistance in implementing event processing for orchestrating events across multiple applications and services using Azure's native capabilities. Can you provide guidance on how to accomplish this?

We can leverage Azure Service Bus and the Python SDK for orchestrating events. Azure Service Bus provides a reliable messaging platform for event orchestration. In this demo, a VM with a managed identity will produce events and send them to a queue within a specific service bus namespace. The managed identity is exclusively scoped to this service bus namespace.

By leveraging the power of Bicep, all necessary resources can be easily provisioned and managed with minimal effort. Our solution uses Python for efficient event processing, allowing for quick and easy deployment of sophisticated event processing pipelines.

1. 🧰 Prerequisites

   This demo, instructions, scripts and bicep template is designed to be run in westeurope. With few or no modifications you can try it out in other regions as well(Not covered here).

   • 🛠 Azure CLI Installed & Configured - Get help here
   • 🛠 Bicep Installed & Configured - Get help here
   • 🛠 VS Code & Bicep Extenstions - Get help here

2. ⚙️ Setting up the environment

   • Get the application code

     https://github.com/miztiik/azure-vm-to-svc-bus
     cd azure-vm-to-svc-bus

3. 🚀 Prepare the environment

   Ensure you have Azure Cli and bicep working

   # You should have azure cli preinstalled
   bicep --version
   az account show

4. 🚀 Deploying the application

   • Stack: Main Bicep The params required for the modules are in params.json. Modify them as needed. The helper deployment script deploy.sh will deploy the main.bicep file. This will create the following resoureces

     • Resource Group(RG)
     • VNet, Subnet & Virtual Machine
     • Virtual Machine(Ubuntu)
       • Bootstrapped with custom libs using userData script.
     • Service Bus Namespace
       • Queue
     • User Managed Identity - Identity attached to the VM with the following permissions,
       • Monitoring Metrics Publisher
       • Read and write data to Service Bus Queue

     Note - I hacked the template from another repo of mine, so you will see some unused resources(log analytics workspace/queues etc.,). You can safely ignore them, But do remember to clean up your Resource Group to avoid unnecessary costs.

     sh deploy.sh

     After successfully deploying the stack, Check the Resource Groups/Deployments section for the resources.

5. 🔬 Testing the solution

   • Connect to the VM

     The Ubuntu vm should be bootstrapped using userData to install python3, git and also Azure Idenity initialized.

     • Connect to the using using Just-In-Time access.
       • The bootstrap code should have clone this repo to /var/azure-vm-to-svc-bus, If not clone the repo.
     • The az_producer_for_svc_bus.py script expects the following environment variable. In production, you probabaly want to store these in App configuration
       • SVC_BUS_FQDN
       • SVC_BUS_Q_NAME

   • Initiate Event Generation & Ingestion

     # git clone https://github.com/miztiik/azure-vm-to-svc-bus.git
     # cd /var/azure-vm-to-svc-bus/app/
     # pip install -r requirements.txt
     
     cd /var/azure-vm-to-svc-bus/app/function_code
     export SVC_BUS_FQDN="warehouse-svc-bus-ns-vm-to-svc-bus-005.servicebus.windows.net"
     export SVC_BUS_Q_NAME="warehouse-q-005"
     
     python3 az_producer_for_svc_bus.py

     If everything goes all right, you should see messages like below. You can also check the logs at /var/log/miztiik-store-events-*.json

     INFO:root: {
     "miztiik_event_processed": true,
     "msg": "Generated 10 messages",
     "resp": {
        "status": true,
        "tot_msgs": 10,
        "bad_msgs": 2,
        "sale_evnts": 5,
        "inventory_evnts": 5,
        "tot_sales": 504.89
     },
     "count": 10,
     "last_processed_on": "2023-05-19T14:09:06.946041"
     }
     

     Upon successful execution, You should receive 200 response code from the endpoint. If you navigate to the portal, You should see the metrics in the dashboard..

     

     

6. 📒 Conclusion

   Here we have demonstrated write data to service using Azure VM with user assigned managed identity.

7. 🧹 CleanUp

If you want to destroy all the resources created by the stack, Execute the below command to delete the stack, or you can delete the stack from console as well

• Resources created during Deploying The Application
• Any other custom resources, you have created for this demo

# Delete from resource group
az group delete --name Miztiik_Enterprises_xxx --yes
# Follow any on-screen prompt

This is not an exhaustive list, please carry out other necessary steps as maybe applicable to your needs.

This repository aims to show how to Bicep to new developers, Solution Architects & Ops Engineers in Azure.

Thank you for your interest in contributing to our project. Whether it is a bug report, new feature, correction, or additional documentation or solutions, we greatly value feedback and contributions from our community. Start here

Buy me a coffee ☕.

1. Azure Docs: Just In Time Access

Level: 100