In this presentation, you will look at the top challenges you face deploying machine learning models to production and how to tackle those challenges using MLOps.

This course covers the important conceptual reasons why models underperform post-deployment, the actual implementation of model deployment using Python Flask, using serverless, cloud-based compute options and using platform-specific machine learning frameworks.

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.

Learn how to deploy microservices to OpenShift 4 using the Open Liberty Operator. Understand how to manage, scale, and monitor microservices in OpenShift environments, leveraging Kubernetes and container orchestration for efficient microservice deployment.

Learn how to deploy, manage, and scale microservices with OpenShift. Discover how OpenShift simplifies microservices architectures with Kubernetes orchestration and continuous integration capabilities.

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.

In a perfect world, technologies become simpler while also becoming more effective and less expensive to operate. MPLS Segment Routing and modern layer-2 VPNs are great examples of such technologies.

You may work in a DevOps organization in which all infrastructure must be defined in code. This course will teach you how to plan and implement multi-VM deployments in Azure by using virtual hard disk images and Azure Resource Manager templates.

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.

This course covers the important aspects of performing distributed training of PyTorch models, using the multiprocessing, data-parallel, and distributed data-parallel approaches. It also discusses which you can host PyTorch models for prediction.

This course provides a holistic experience of optimally configuring SAP on Google Cloud. Participants will learn to configure SAP on Google Cloud, and what best practices are.

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.