Xavier Geerinck

Setting up Cloudflare Tunnels

I am working on a Mobile Application (spoiler) that I am developing through [React-Native](https://reactnative.dev/) and [Expo](https://expo.dev/).

Enabling CUDA with PyTorch on Nvidia Jetson and Python 3.9

For a use case I wanted to utilize the Nvidia Jetson for edge inference. One of the bottlenecks here was that my software required a Python version that is greater than 3.6. When looking at the [Nvidia Jetson packages for PyTorch](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-pytorch) it was seen that this was only created for version 3.6.

Parking Garage Sensor implementation using Dapr Actors

The reworked Dapr Javascript SDK has been released a couple of weeks ago! Together with a brand new and easier to use SDK, we have been thinking in the community of reworking the documentation to simplify the examples, more specifically the Actors examples.

Use Bicep and Azure Static Site for your Blog Deployment

I have been a user of Vercel for a long time, but recently I wanted more control over the deployment process of my blog! Which is why I decided to move everything to Azure for this, seeing that they have a [new Static Site hosting option](https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-static-website?WT.mc_id=DOP-MVP-5004263) which is simply AMAZING (and free 😉).

Run Azure App Service on GCP through Azure Arc

In a [previous article](/post/2021/6/10/infrastructure-azure-azure-arc) I went in detail on how you can get started running your own Azure Arc setup and connect your cross-cloud and on-premises systems and Kubernetes clusters. In this article I would like to go in more detail how you are now able to utilize the previously created infrastructure and run Azure App Service on it! Bringing the ecosystem of Azure towards your multi-cloud environment.

Create a Multi-Cloud Infrastructure with Azure Arc

Azure Arc was released a while ago, but got a great update in May 2021 during the [annual Build conference](https://azure.microsoft.com/en-gb/blog/build-cloudnative-applications-that-run-anywhere/?WT.mc_id=DT-MVP-5004263) allowing it to run Azure Application services across your Azure Arc enabled Kubernetes services.

An Nvidia Jetson Nano Series

I recently acquired an Nvidia Jetson Nano 2GB Developer Kit and had some fun with it! In this series I present the overview of the articles I created:

Installing Grafana on your Kubernetes Cluster

Since Kubernetes has now been installed, we can continue to run a demonstration! For this demonstration we are going to deploy the following:

Installing Kubernetes on an Nvidia Jetson Cluster

We now have [a beautiful cluster assembled and running](/post/2021/5/30/infrastructure-nvidia-nvidia-jetson-cluster), but no software running on it yet. So let's get started and provision Kubernetes on top of it so we can manage our nodes easier!

Creating an Nvidia Jetson Nano Portable Cluster

[In my previous article](/post/2021/5/30/infrastructure-nvidia-nvidia-jetson-setup) I explained how we can get one single Nvidia Jetson Nano 2GB Node up and running. In this article I would love to go in more detail on how we can create a cluster.

Getting Started with Nvidia Jetson Nano Developer Kit

I recently acquired an Nvidia Jetson Nano 2GB Developer Kit, so I'd love to walk you through my process of getting it up and running!

Schedule Kubernetes CronJob to restart pods automatically

For a project I needed a way to automatically schedule pods to be deleted every 3 hours. This was due to the nature of the project where we wanted a cleanup in memory due to zombie processes appearing. It's not a clean fix, but it was necessary for production to run stable while we were patching things.

Creating a Raspberry PI Cluster (1 Raspberry Pi & 4 Pi Zeros) with Cluster Hat

A couple of years ago, I decided to buy a Raspberry PI cluster with [Clusterhat](https://clusterhat.com/). In all that time however, I never too the time to configure it correctly to make it able to run Kubernetes. So now I decided to invest some time and get some learnings back from it!

How to integrate Dapr and Apache Kafka through Bindings (input and output)

For a new project I am working on, I want to utilize Dapr to integrate Kafka such that a REST endpoint is automatically called in my application.

Debugging Common Dapr Issues

As a new sort of writing, I wanted to create a "debugging" blog post where I list "my rookie" mistakes that I made while working with Dapr. I hope that by sharing I can help others to more quickly resolve their own issues 😊

Getting started with Dapr, Python and gRPC

The cloud war is heating up and one of the main challenges is the fear of lock-in created by these providers. Helping the raise of Kubernetes as a provider, since this allows customers to quickly move between one and the other (a deployment is a deployment, no matter the cloud you run it on.).

Build your Jekyll site and Deploy it on GitHub Pages with an Azure DevOps pipeline

So far I have been using Travis-CI as my Continuous Integration (CI) system for my build and release process for my Blog. However recently, VSTS got rebranded to Azure Pipelines, and I felt everything got mature enough to finally migrate to Azure Pipelines. To my surprise this turned out to be super easy! Let's see how it can be done!

Creating a Big Data cluster with SQL Server 2019

SQL Server 2019 came out in preview a while ago, and the new features announced are just wonderful! A one-to-go-tool for all your big data needs: Unstructured and Structured data that can be processed using just one tool!

Connect to your Docker Daemon through the Windows Subsystem for Linux (WSL)

Do you have Windows installed and you love using the Linux Subsystem on it? (commonly known as WSL) Well let me tell you the steps to achieve this.

Create a local kubernetes development cluster and scale it with the cloud

So you want to create a Kubernetes cluster to start testing your docker deployment? But you would like to test this locally first? Well, then this post is for you. Here we will go in depth on how you can set up your local development environment, and then port it to the cloud when you need the scale.