Create Kubernetes Cluster from Scratch on Linux Virtual Machines

In this session attendees will learn learn how to deploy kubernetes cluster from scratch on linux virtual machines.

- Setup Github Codespaces
- Setup Terraform Cloud
- Setup Azure AD Service Principle for Terraform Cloud Authentication
- Deploy linux virtual machines on Azure Infrastructure using Terraform
- Setup kubernetes cluster on linux virtual machines from scratch
- Validate kubernets cluster functionalities

Github repository: https://github.com/mechdeveloper/kubernetes-demo

Technical Requirements :
Github Codespace, Terraform, Azure Subscription, Terraform Cloud Account

Target Audience : Intermediate, Sys Admins
Preferred session duration : 45 min

Infrastructure as Code on Azure using Github Codespaces and Terraform Cloud

In this session attendees will learn learn how to configure Github Codespaces for Infrastructure as Code on Azure with Terraform Cloud

- Setup Service Principle on Azure for Terraform Cloud Authentication
- Configure Terraform Cloud Organization, Variable Sets, User Tokens
- Setup Github Codespaces, Codespace Secrets, Install Azure CLI, Terraform
- Deploy linux virtual machines on Azure Infrastructure using Terraform
- Login to your new linux virtual machines from Github codespaces

Technical Requirements :
Github Codespace, Terraform, Azure Subscription, Terraform Cloud Account

Target Audience : Absolute Beginners, Learners, Sys Admin, Cloud Engineers
Preferred session duration : 45 min

Develop on browser using GitHub Codespaces

In this session attendees will learn how to use Github Codespaces to develop on browser using Dev Containers as a full featured development environment.

Target Audience : Beginner Developers, Learners
Preferred session duration : 30-45 min

Public Delivery
- Azure User Group Sweden: https://youtu.be/REDg2uIqDcc
- Cloud Native and Kubernetes Olso Meetup: https://youtu.be/xZlRLRH7y-8

Building an End-to-End MLOps Solution with Azure Machine Learning and Azure DevOps

This session will cover the lessons learned for implementing key concepts like source control, automation, and CI/CD to build an end-to-end MLOps solution. The session will also cover how to streamline your MLOps workflow with Azure Machine Learning and Azure DevOps.

Attendees will learn how to automate MLOps workflow, build an end-to-end MLOps solution, and implement MLOps with Azure Machine Learning and Azure DevOps.

This session is intended for data scientists, machine learning engineers, and developers who want to learn how to implement MLOps with Azure Machine Learning and Azure DevOps.

This session will require a basic understanding of machine learning concepts, Azure Machine Learning, and Azure DevOps.

You will also need an Azure subscription to follow along the demos.

This session will be delivered for the first time.

The session duration is 45 minutes.

This session will cover the following topics:
- What is MLOps and why is it important?
- How to use Azure Machine Learning and Azure DevOps to create an MLOps pipeline
- How to automate model training, testing, deployment, and monitoring with Azure Machine Learning and Azure DevOps
- Tips for MLOps with Azure Machine Learning and Azure DevOps

Rootless Containers with podman

Discover the power of containerization without the need for superuser privileges.

Learn how Podman provides a lightweight and secure alternative to traditional container runtimes, enabling you to run containers as a regular user. Explore key features, best practices, and real-world use cases in this hands-on session.

Whether you're a seasoned developer or just getting started with containers, this session will demystify rootless containerization and empower you to streamline your development workflows.