VMware Tanzu Labs's repositories
tanzu-validated-solutions
Tanzu Validated Solutions is a publicly-available repository for authoring, updating, and publishing reference architecture and validated solution materials for docs.vmware.com. This repository provides the feedback mechanism for continuous improvement of these assets.
educates-training-platform
A platform for hosting interactive workshop environments in Kubernetes, or on top of a local container runtime.
yaml-overlay-tool
Use JSONPath to query & patch YAML files with ease.
terraform-provider-namespace-management
Terraform Provider for vSphere with Tanzu Supervisor (Namespace Management) actions
markdown-to-confluence
Syncs Markdown files to Confluence
learn-kubernetes-on-vmware-cloud
This repository contains labs coinciding with the training course found on VMware Cloud TechZone designed to teach Kubernetes concepts to vSphere Admins.
remote-teams-viewer
Remote Teams Viewer is a front-end app that allows manual csv upload of employee distribution across different timezones allowing for better allocation to form teams with stronger collaboration of members in similar timezones. AMER Tanzu Labs App Services use this internally to help create highly collaborative remote delivery teams.
educates-github-actions
GitHub action for publishing Educates workshops to GitHub container registry.
lab-spring-boot-on-k8s
Introduction to Spring Boot on Kubernetes.
validated-tanzu-partner-solutions
This repository is for holding the documentation, deployment guides, reference architectures, and supporting code (scripts, deployment artifacts, etc...) for validated Tanzu ISV partners.
lab-k8s-fundamentals
An interactive workshop on Kubernetes fundamentals.
lab-tanzu-cloudnative-eventing
Educates workshop for Tanzu CNR Eventing
lab-spring-gateway
spring gateway
labs-container-workshops
A series of workshops for getting started with docker, containers and Kubernetes.
simple-distributed-bank-services-demo
A small example of a Banking application that consists of 3 services that illustrates how to use Docker's special network address feature host.docker.internal to allow communication between a workstation and containerized services on Window and MacOS.