The integration of artificial intelligence (AI) into cloud infrastructure is revolutionizing how we manage and deploy cloud resources. AI, now a pivotal component, optimizes the entire lifecycle of cloud architecture, enhancing tasks like deployment, maintenance, and scaling. This article explores the role of AI in empowering cloud architecture and deployments, especially when combined with Infrastructure as Code (IaC) tools like Bicep and Terraform.

Deploying infrastructure ARM Templates to Azure, but using Tags and their respective value as the parameter configuration settings

In a post earlier, we look at using arm to lookup the value of tags’ at both the Subscription and Resource Level. …

Deploying infrastructure ARM Templates to Azure, but using Tags and thier respective value as the parameter configuration settings

In the post, I am going to introduce a concept which will allow you to greatly up your Infrastructure as Code game, by …

Retrieve the Function Host Keys while deploying an ARM template

Todays conundrum: As I deploy a new Function Application, I need a simple methodology to retrieve the Host Keys for the function application so that I validate the deployment has been …

Dynamically appending Tags to our ARM template with the union function

Todays conundrum: As I am leveraging templates, there will always be some standard tags I require to implement within the template, but I also require to provide additional tags …

Apache Guacamole is a free and open source web application which lets you access your dashboard from anywhere using a modern web browser. It is a clientless remote desktop gateway which only requires Guacamole installed on a server and a web browser …

Microsoft Azure Application Gateway is a Layer 7 application delivery controller (ADC) offered as a service in Azure. It provides load balancing, SSL termination, end-to-end SSL, URL path-based routing, and basic web application firewall (WAF) …