Mastering Azure Container Apps - From Basics to Advanced Deployment: Master Azure Container Apps with YAML, KEDA, and DevOps Pipelines

Houssem Dellai

€82.99

Video Oct 2025 6hrs 46mins 1st Edition

Houssem Dellai

€82.99

Video Oct 2025 6hrs 46mins 1st Edition

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Key benefits

Hands-on labs for deploying both frontend and backend applications
Real-world use cases covering autoscaling, secrets management, and custom domains
Step-by-step guidance through DevOps pipelines with both GitHub and Azure DevOps

Description

In this course, you will explore the capabilities of Azure Container Apps, starting with basic deployments and advancing to complex techniques. Learn to deploy containers using manual and YAML configurations, forming a strong foundation for further topics. Once comfortable with deployments, you’ll dive into scaling with KEDA to automate app scaling based on real-time demand, alongside securing app secrets with Azure Key Vault. The course shifts to DevOps practices, where you’ll learn to build and manage CI/CD pipelines using GitHub Actions and Azure DevOps. Explore infrastructure as code (IaC) with Bicep and Terraform to automate deployments across environments. Through hands-on labs, you'll master key concepts such as managing storage, configuring custom domains, and using private endpoints to secure applications. This course offers in-depth demonstrations and real-world applications, ensuring you not only understand theoretical concepts but also gain the practical skills required to deploy and manage scalable applications on Azure.

Who is this book for?

This course is designed for software developers, cloud engineers, and DevOps professionals seeking to enhance their skills in containerized application deployment and management on Microsoft Azure. Prior experience with Azure, containers, or Kubernetes is beneficial but not mandatory. Familiarity with YAML and basic networking concepts will help but is not required. Ideal for professionals looking to elevate their cloud application deployment strategies, especially in production environments where scaling and automation are key.