Machine Learning Toolkit for Kubernetes
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Updated
Feb 18, 2025 - TypeScript
Machine Learning Toolkit for Kubernetes
Test, build, push (to DockerHub) and deploy a long running "hello-world" Docker Image to Google Kubernetes Engine (gke)
A GitHub Action to deploy workloads to Google Kubernetes Engine.
A GitHub Action that configure authentication to a GKE cluster.
This Terraform module provisions a Google Kubernetes Engine (GKE) cluster with customizable configurations, including support for Autopilot mode, cluster autoscaling, network policies, and various add-ons. It also includes outputs for essential cluster information and deprecation warnings.
A Kubernetes controller to spread preemption for preemtible VMs in GKE to avoid mass deletion after 24 hours. In honor of estafette-gke-preemptible-killer.
A Kubernetes Operator to automatically configure secure connections to Cloud SQL
Connects Kubernetes workloads running on-prem and on other clouds with Google Cloud's Cloud Load Balancing and Cloud Service Mesh (Traffic Director).
Connects Kubernetes workloads running on-prem and on other clouds with Google Cloud's Cloud Load Balancing and Cloud Service Mesh (Traffic Director).
Demos for several kubernetes security features
Add digests to container and init container images in Kubernetes pod and pod template specs. Use either as a mutating admission webhook, or as a client-side KRM function with kpt or kustomize.
A sample project that demonstrates using CircleCI to deploy to Google Kubernetes Engine on GCP
A discord bot to notify the new courses from Courspora
Shifter - OpenShift workloads to GKE/Anthos
Interact with Google Kubernetes Engine (GKE) from CircleCI
Repository for the Google Cloud Architect labs
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