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CAPI Part 5: Ubuntu on Proxmox - Image Builder and Deploy

After exploring Talos Linux in previous articles, it’s time to change approach and use Ubuntu as the base operating system for our Kubernetes nodes. In this post we’ll see how to create a Kubernetes cluster on Proxmox using Cluster API (CAPI) and the official images generated with image-builder. Why Ubuntu instead of Talos? While Talos provides an excellent immutable and minimal experience, Ubuntu offers: Greater flexibility for debugging and troubleshooting Familiarity for those coming from traditional Linux environments Wider support for tools and software Advanced customization possibilities Prerequisites Before starting, make sure you have:

  • Kubernetes
  • CAPI
  • Cluster API
  • Ubuntu
  • Proxmox
  • Image Builder
  • Homelab
Thursday, October 23, 2025 | 4 minutes Read
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From port-forward to Ingress: How to configure a professional local Kubernetes environment with NGINX

The Problem: Accessing Services in a Local Development Environment Let’s face it: we all started this way. You have your brand new app on Kubernetes, and to test it you open 12 different terminals, one for each kubectl port-forward .... It works, but it’s awkward and doesn’t simulate a real environment at all. To better understand these concepts, it’s useful to consult the official Kubernetes documentation. To dive deeper into the use of kubectl, consult the official kubectl documentation.

  • Kubernetes
  • kind
  • Ingress
  • NGINX
  • DevOps
  • Local Development
Tuesday, October 21, 2025 | 14 minutes Read
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CAPI Part 1: From Chaos to Automation

The Problem of Manual Kubernetes Management Managing Kubernetes clusters represents one of the most complex challenges in the modern cloud-native ecosystem. As the number of nodes and clusters grows, operational complexity increases exponentially, quickly making operations like provisioning new workers, coordinated control plane upgrades, network configuration management, and underlying infrastructure maintenance unmanageable. Limitations of Traditional Methods Traditional methods for managing Kubernetes clusters typically rely on: Custom scripts for node provisioning and configuration Manual procedures documented, hopefully, for upgrades and maintenance Static configurations difficult to version and replicate Imperative approaches that describe “how to do” rather than “what to achieve” Concrete Operational Problems According to CNCF surveys, operational complexity represents one of the main challenges in enterprise Kubernetes adoption.

  • Kubernetes
  • CAPI
  • Cluster API
  • Infrastructure as Code
  • DevOps
  • Automation
Tuesday, August 5, 2025 | 6 minutes Read
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CAPI Part 2: Anatomy of Cluster API - Components and Mechanisms

CAPI Component Architecture Cluster API implements a modular architecture based on the Kubernetes controller pattern, where each component has specific and well-defined responsibilities. This separation of responsibilities ensures extensibility, maintainability, and testability of the system. Management Cluster vs Workload Cluster The fundamental distinction in CAPI is the separation between the cluster that manages infrastructure and the clusters that run application workloads. Management Cluster The Management Cluster serves as the central control hub for Kubernetes infrastructure. Its main characteristics include:

  • Kubernetes
  • CAPI
  • Cluster API
  • Infrastructure as Code
  • DevOps
  • Automation
Tuesday, August 5, 2025 | 9 minutes Read
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CAPI Part 3: Talos Linux - The Operating System for Kubernetes

The Immutable OS Paradigm for Kubernetes Traditional operating system management in Kubernetes environments presents numerous challenges: configuration drift, extended attack surface, maintenance complexity, and inconsistency between environments. Talos Linux represents a revolutionary approach that completely redefines how operating systems interact with Kubernetes. Problems with Traditional Operating Systems Configuration Drift and Snowflake Servers Traditional operating systems (Ubuntu, CentOS, RHEL) in Kubernetes environments suffer from structural problems: # Typical scenario on an Ubuntu node ssh worker-node-01 sudo apt update && sudo apt upgrade -y sudo systemctl restart kubelet # One month later... ssh worker-node-02 sudo apt update && sudo apt upgrade -y # Different versions, divergent configurations, inconsistent behaviors According to the 2023 State of DevOps Report, over 60% of organizations struggle with inconsistent configuration management in distributed systems.

  • Kubernetes
  • CAPI
  • Cluster API
  • Infrastructure as Code
  • DevOps
  • Automation
Tuesday, August 5, 2025 | 10 minutes Read
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CAPI Part 4: Practical Setup - Day 1 Operations

Part 4: Practical Setup - Day 1 Operations Fourth article in the series “Deploy Kubernetes with Cluster API: Automated Cluster Management” In previous parts we explored the theoretical foundations of Cluster API, component architecture, and integration with Talos Linux. It’s now time to put these concepts into practice through a complete implementation of Day 1 Operations. This part will guide through every step of the initial deployment process: from Proxmox infrastructure configuration to the first functional and verified workload cluster, using the Python generator to automate the generation of parametric configurations.

  • Kubernetes
  • CAPI
  • Cluster API
  • Infrastructure as Code
  • DevOps
  • Day 1 Operations
Tuesday, August 5, 2025 | 8 minutes Read
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