This course offers a professional introduction to CloudFerro Managed Kubernetes. It covers the deployment, scaling and maintenance of clusters, as well as the efficient management of all resources.

Course description

The efficient orchestration of containers is one of the core competencies of modern IT infrastructures. This practical course offers a structured guide to the successful deployment and operation of managed Kubernetes clusters on the CloudFerro platform.

Starting with the fundamental prerequisites and cloud-based deployment, the course systematically guides participants through all administrative processes. The focus is on management via the graphical user interface, as well as on business-critical core concepts: the granular management of node pools, the implementation of autoscaling for cost optimisation, and the execution of secure version upgrades whilst the system is running.

What You will learn

  • Cluster Provisioning & Management

    Thorough set-up of managed Kubernetes clusters, configuration of the control plane (master nodes) for high availability, and secure connection via local terminals using kubectl.

  • Dynamic resource management

    Efficient capacity management of infrastructure through manual adjustments or automated autoscaling of node pools, as well as the implementation of incremental system upgrades without downtime.

  • Fault Analysis & Resource Validation

    Centralised monitoring of the cluster’s status via the dashboard, in-depth analysis of resources in JSON format, and the initiation of comprehensive cluster backups.

Course curriculum

  1. 01

    • Introduction – From a single server to a cluster

    • Quiz 1
  2. 02

    • One click to the cluster – the CloudFerro GUI

    • Quiz 2
  3. 03

    • Simple Cluster Management I – kubectl & Node Pools

    • Quiz 3
  4. 04

    • Simple Cluster Management II – Upgrades, Resources & Backups

    • Quiz 4
  5. 05

    • The cluster is up and running – so what next?

Who is this course aimed at?

  • Cloud administrators and systems engineers who wish to build and manage a stable, highly available and scalable Kubernetes infrastructure on the CloudFerro platform.

  • IT professionals who wish to make the technological transition from traditional server environments to managed container runtime environments and acquire in-depth knowledge of the platform

  • Software developers and data scientists who require a reliable, production-ready runtime environment for deploying applications and carrying out complex data analyses

Instructor

Über Ihren Kursleiter:

Julian Hausmann holds a Bachelor of Science (B.Sc.) in Geography from the University of Bonn, where he is currently also enrolled on a Master’s programme. His specialisation in the field of geoinformatics and remote sensing includes not only international research experience in Australia as part of a DAAD-RISE scholarship, but also work with non-governmental organisations (NGOs) and the Centre for Remote Sensing of the Land Surface (ZFL) in Bonn. At Urbetho CF GmbH, his responsibilities include operational project management, the development of automated data pipelines, and the design and creation of Python-based learning content and technical training materials. Urbetho CF GmbH has been operating in the fields of Earth observation and cloud computing since 2019, supporting companies and institutions in establishing and expanding digital geoservices. The company specialises in identifying and overcoming technological scaling barriers, as well as providing support services for major cloud platforms – such as within the framework of the DLR’s CODE-DE-Lab project. In this context, Julian Hausmann designs webinars and e-learning programmes to help users get started with and make efficient use of managed cloud resources.

Julian Hausmann

Urbetho CF GmbH

Use of AI tools

Transparency notice regarding the course content creation

The academic concepts and slides for this course were developed by our lecturer. The narration was co-authored using AI tools and subsequently edited. The narration is provided by a synthetic AI voice.