Cloud Native Zürich 2025 Thu, June 12th, 2025

The conference entry includes a tasty breakfast to start the day, followed by a lunch that provides an opportunity to recharge and mingle with other attendees. After the conference, enjoy a networking apero for informal discussions and building relationships in a laid-back setting.

GitOps is a natural extension of the Infrastructure-as-Code and Continuous Delivery principles, with a focus on using Git as the single source of truth for your system. Changes to infrastructure and applications are made declaratively via a Git repository, with an automated process ensuring that the current state of your system reflects the state of the repository. This one-day workshop offers a practical and clearly understandable introduction to GitOps using Argo CD on Kubernetes and will cover:

• Basic concepts and architecture
• Managing Argo CD applications in Git
• Sync policies, Self-healing, Pruning of resources
• Comparing application state (Git vs. Kubernetes Cluster)
• Resource hooks, sync phases and waves
• Various manifest formats

Ansible is an open-source automation tool that simplifies tasks like configuration management, application deployment, and orchestration through declarative, code-based playbooks.
The workshop consists of varied presentations and hands-on labs in order to teach content in an appealing fashion.

• Write a simple Ansible module
• How Ansible finds and uses modules
• Useful documentation and information
• Write documentation of own module
• Testing with ansible-test
• Ansible-Galaxy
• Packing an Ansible module in a collection

Container technologies, Kubernetes above all, have become more important in recent years and now are a significant driver of digitalization. This one-day workshop provides a practical and easy-to-understand introduction to Kubernetes.

• Architecture and components of Kubernetes
• Applications deployment
• Access opportunities
• Pod scaling
• Service layer and discovery
• Persistent storage
• StatefulSet, DaemonSet, Job, ConfigMap, Init and Sidecar Container
• Troubleshooting

AI applications are growing enormously. How do I build the bridge between experimental machine learning model development and model application in productive applications? Dive with us into the exciting world of machine learning operations (MLOps) and learn how machine learning projects can be implemented efficiently and comprehensibly from conception to production.