By now, you’ve probably realised that everything we do at Xylos involves collecting, processing and understanding the data that’s all around us. Connected Factory, Analytics and intelligent chatbots are good examples. How do you handle data properly? By implementing the Intelligent Cloud solution correctly and using it optimally. Our bloggers explain how you can do this.
In the previous blog post in our ‘6 steps to the cloud’ series, we discussed ARM templates and Kubernetes manifests. In this post, we’ll use templates to roll out the Kubernetes infrastructure and our applications in Azure.
Which templates do you use to roll out apps and infrastructure using code? We recommend templates which contain a desired state and which you can roll out idempotently (this means you can execute the template multiple times without impacting the current state). Think of ARM templates and Kubernetes manifests, for example.
Do you want to offer your end users reliable containers? A container orchestrator is just what you need. The most common one is Google’s open-source container orchestrator, Kubernetes. Since almost all public clouds work with it, it’s often considered the standard solution. Microsoft offers Kubernetes as a service through Azure Kubernetes Service (AKS).
Do you want to migrate your on-premises company workloads to the Azure cloud? In this blog, we’ll discuss how to use Azure Site Recovery to migrate your on-premises machines to Microsoft Azure.
In the previous blog post, we explained how to package an application in a container. To illustrate this, we used a simple web application that recognises images, which we executed on a PC and an Azure Container Instance (ACI). In this post, we’ll delve deeper into how to build and package the application.
At Xylos Inspire 2018, we demonstrated how to operate a remote-controlled Lego Mindstorms robot using your own body movements. In this blog post, we’ll illustrate how we did this.