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Deploy SonarQube to Azure Kubernetes Service cluster and integrate with Azure DevOps build pipeline

This is the next part of the series on developing and deploying

  • Angular, ASP.NET Core Web API and SQL Server to Azure Kubernetes Service
  • Function Apps using Azure Functions 2.0 runtime

In this article, I am going to share steps needed to deploy SonarQube to Azure Kubernetes Service cluster and integrate with Azure DevOps pipeline to setup code analysis for Angular and ASP.NET Core web apps created in previous parts of this series. The previous articles of this series are

Azure Kubernetes Service (AKS) – Deploying Angular, ASP.NET Core and SQL Server on Linux

ASP.NET Core 2.1 Web API – Load App Configuration from appsettings.json, Dockerfile environment variables, Azure Key Vault Secrets and Kubernetes ConfigMaps/Secrets

Azure Functions 2.0: Create, debug and deploy to Azure Kubernetes Service (AKS)

Azure Functions 2.0: Create Function App from Docker Image (Functions triggered by Cosmos DB, Blob storage, Event Hub and SignalR service bindings)

Add real-time web functionality to Angular application using ASP.NET Core SignalR, Azure SignalR service and Azure SignalR Service bindings for Azure Functions 2.0

The tools used to develop these components are Visual Studio for Mac/VS Code/VS 2017, AKS Dashboard, Docker for Desktop and kubectl.

SonarQube

SonarQube provides the capability to not only show health of an application but also to highlight issues newly introduced. I am going to configure SQL Server as backend database for SonarQube.

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