Harbor Registry - Automating LDAP/S Configuration - Part 1

The Harbor Registry is involved in many of my Kubernetes implementations in the field, and in almost every implementation I am asked about the options to configure LDAP/S authentication for the registry. Unfortuntely, neither the community Helm chart nor the Tanzu Harbor package provides native inputs for this setup. Fortunately, the Harbor REST API enables LDAP configuration programmatically. Automating this process ensures consistency across environments, faster deployments, and reduced chances of human error.

CAPV: Fixing and Cleaning Up Idle vCenter Server Sessions

I recently ran into an issue causing the vCenter server to crash almost daily. What seemed to be a random vCenter issue initially, turned out to be related to CAPV (Cluster API Provider vSphere), running on some of our Kubernetes clusters. That was also an edge case I had not seen before, so I decided to document and share it here.

Initially, the issue we were witnessing on the vCenter server was the following:

Streamlining and Customizing Windows Image Builder for TKG

Tanzu Kubernetes Grid (TKG) is one of the few platforms providing out-of-the-box support and streamlined deployment of Windows Kubernetes clusters. VMware is actively investing in this area and constantly improving the support and capabilities around Windows on Kubernetes.

Unlike Linux-based clusters, for which VMware provides pre-packaged base OS images (typically based on Ubuntu and Photon OS), VMware cannot offer Windows pre-packaged images, primarily due to licensing restrictions, I suppose. Therefore, building your own Windows base OS image is one of the prerequisites for deploying a TKG Windows workload cluster. Fortunately, VMware leverages the upstream Image Builder project - a fantastic collection of cross-provider Kubernetes virtual machine image-building utilities intended to simplify and streamline the creation of base OS images for Kubernetes.

Tanzu Kubernetes Grid GPU Integration

I recently had to demonstrate Tanzu Kubernetes Grid and its GPU integration capabilities. Developing a good use case and assembling the demo required some preliminary research.

During my research, I reached out to Jay Vyas, staff engineer at VMware, SIG Windows lead for Kubernetes, a Kubernetes legend, and an awesome guy in general. :) For those who don’t know Jay, he is also one of the authors of the fantastic book Core Kubernetes (look it up!).

Customizing Elasticsearch indices using Fluent-Bit in TKG

Fluent-Bit is currently the preferred option for log shipping in TKG and is provided out of the box as a Tanzu package that can be easily deployed on each TKG/Kubernetes cluster.

A recent implementation required shipping all Kubernetes logs to Elasticsearch, complying with a specific naming convention for the Elasticsearch indices.

Applying such customizations requires you to utilize the Lua filter. Using the Lua filter, you can modify incoming records by invoking custom scripts to apply your logic when processing the records.

Production-Grade Multi-Cluster TAP Installation Guide

• Introduction
• Prerequisites
• Prepare your Workstation
• Relocate TAP Images to your Private Registry
• Install TAP
  • View Cluster
    • Set up the Installation Namespace
    • Issue a TLS Certificate for TAP GUI
    • Set up a Database for TAP GUI
    • Set up the TAP GUI Catalog Git Repository
    • Set up RBAC for the Metadata Store
    • Set up an Authentication Provider for TAP GUI
    • Set up RBAC for the Build, Run and Iterate Clusters
    • Set an Ingress Domain, TAP GUI Hostname and CA Certificate
    • Deploy the TAP Package
  • Build Cluster
    • Set up the Installation Namespace
    • Set up Metadata Store Authentication and CA Certificate
    • Prepare a Sample Source Code Git Repository
    • Update the TAP Values File
    • Deploy the TAP Package
    • Deploy the TBS Full Dependencies Package
    • Set up the Developer Namespace and Deploy a Workload
  • Run Cluster
    • Set up the Installation Namespace
    • Update the TAP Values File
    • Deploy the TAP Package
    • Set up the Developer Namespace and Deploy a Workload
  • Iterate Cluster
    • Set up the Installation Namespace
    • Update the TAP Values File
    • Deploy the TAP Package
    • Deploy the TBS Full Dependencies Package
    • Set up the Developer Namespace and Deploy a Workload
    • Iterate on your Application
• Wrap Up

Introduction

Since my previous posts on TAP Overview and Backstage, I have been diving deeper into TAP, trying to establish the practices around it.

VMware Tanzu Application Platform Overview

In the first part of this series, I described what Backstage is and some of the advantages it aims to solve. VMware uses Backstage to enable its Tanzu Application Platform (TAP). Before we can understand how, however, we need to understand what TAP is and what it aims to do.

So, what exactly is the Tanzu Application Platform?

TAP is a robust application development platform entirely focused on the developer experience. It provides a rich set of developer tools in a centralized user interface. It is the latest innovation in this space from VMware. It is a true game-changer, building upon community-adopted tooling and the existing products within the Tanzu Advanced Suite to offer a next-gen PaaS solution that aims to solve the same challenges the traditional PaaS systems solve, as well as the issues they introduced.