Learn how to deploy microservices to Kubernetes. Discover best practices for containerizing, scaling, and managing microservices using Kubernetes orchestration, and take advantage of Kubernetes features for efficient deployment and maintenance in production.

In an agile world, employing the same evolutionary approaches to databases as is applied to the application is more necessary than ever. This course brings an agile methodology to databases using Azure DevOps to create agile database deployments.

You've worked with network programmability before, but perhaps you'd like more hands-on across a wider variety of examples and client frameworks. This course is for you as we'll explore a wide variety of network configuration management approaches.

In this Enterprise NG conference session, John Papa will teach you how to build a static web app on Azure and go from GitHub repo to global scale.

Whether you’re a startup or a large enterprise, serverless applications offer many benefits. In this course, you will explore the Serverless Application Model and how to use it to deploy serverless applications in AWS.

Deploying Spring Boot applications has never been easier. This course will teach you the essential strategies and best practices for deploying Spring Boot 3 applications

This course aims to provide specific instructions for deploying Vue 3 static apps to various services. You'll learn how to deal with common issues with deploying static apps and how to overcome those issues to successfully deploy your apps.

You’re ready to push your Vue application the cloud, now what? With this course, you’ll learn several ways to deploy your static Vue application to several cloud providers quickly and efficiently.

This course will teach you what are the benefits of deploying TeamCity server and agents in the cloud and demonstrate how to do this especially in the AWS cloud.

If you are using Agile/Scrum or the basics of Kanban, and are looking for taking a deeper, richer examination at how you can further refine and improve your Kanban practice to deliver even more value to your customers, then this course is for you.

In this session, we will talk about the data science project cycle which holds five main stages - defining your project objectives, collecting and cleaning your data, training and testing a predictive model, deploying it and monitoring.

This course explores the key aspects and solutions related to designing a data protection strategy for your organization using Azure services.