For the past couple of weeks, I’ve been playing around with Akri, a Microsoft (DeisLabs) project for building a connected edge with Kubernetes. Kubernetes, IoT, Rust (and Golang) make this all compelling to me. Initially, I deployed an Akri End-to-End to MicroK8s on Google Compute Engine (link) and Digital Ocean (link). But I was interested to create me own example and so have proposed a very (!) simple HTTP-based protocol.

I was very interested to read about Microsoft’s DeisLab’s latest (rust-based) Kubernetes project: akri. If I understand it correctly, it provides a mechanism to make any (IoT) device accessible to containers running within a cluster. I need to spend more time playing around with it so that I can fully understand it. I had some problems getting the End-to-End demo running on Google Compute Engine (and then I tried DigitalOcean droplet) instances.

Until today, I’d not accessed a Google Container Registry repo from a non-GKE Kubernetes deployment. It turns out that it’s pretty well-documented (link) but, here’s an end-end example. Assuming: BILLING=[[YOUR-BILLING]] PROJECT=[[YOUR-PROJECT]] SERVER="us.gcr.io" If not already: gcloud projects create {$PROJECT} gcloud beta billing projects link ${PROJECT} \ --billing-account=${BILLING} gcloud services enable containerregistry.googleapis.com \ --project=${PROJECT} Container Registry IMAGE="busybox" # Or ... docker pull ${IMAGE} docker tag \ ${IMAGE} \ ${SERVER}/${PROJECT}/${IMAGE} docker push ${SERVER}/${PROJECT}/${IMAGE} gcloud container images list-tags ${SERVER}/${PROJECT}/${IMAGE} Service Account Create a service account that’s permitted to download (read-only) images from this project’s registry

I’ve written a couple of deployment options (Google Compute Engine; Kubernetes) for an open-source project. The Kubernetes deployment provides NodePort and (TCP) LoadBalancer options and I’ve been trying (unsuccessfully) to add HTTPS Load-balancing. I should (!) try to deploy to Google Kubernetes Engine (GKE) but I’ve been using microk8s, Digital Ocean Managed Kubernetes and the Linode LKE Beta. Each of these requires an implementation of Ingress controller. For GKE, GCP’s HTTP/S Load-balancer (GCLB) is used.

Google Cloud Platform Free Tier appears (please verify this for yourself) to provide the ability to run a(n admittedly miniscule) Kubernetes cluster for free. So, why do this? It provides a definitive Kubernetes (Engine) experience on Google Cloud Platform that you may use for learning and testing. Kubernetes Engine the master node(s) and the control plane are free. Kubernetes (i.e. Compute Engine) nodes potentially incur charges including for the VM runtime and any attached storage, snapshots etc.