Red Hat Summit: Connect

A series of hands-on exercises will introduce the concepts, challenges, and best practices associated with deploying containers in a secure fashion using container tools included with Red Hat® Enterprise Linux® 8.

Examine the process of building a cloud-native application that uses two OpenShift clusters and gain an understanding of the benefits of event-processing data, efficient resource utilization, and using a service mesh for microservices.

Covering Spring Web, DI, Data, JPA, and Cache refactoring practices, this lab guides attendees through the refactoring of existing Spring Boot applications to Kubernetes-native applications on Quarkus for Spring developers.

This comprehensive beginner’s guide to automating popular network center devices via Ansible® Playbooks will cover how to pull facts from devices, build templated network configurations, and scale with the automation controller.

Extend your SAP S/4HANA® environment by finding out how to integrate cloud-native applications based on microservices with SAP systems, then building and deploying them using continuous integration/continous delivery and hybrid cloud strategies.

Without needing prior AI/ML knowledge, find out how to create a data pipeline that uses tools from Red Hat’s portfolio to ingest and classify chest X-ray images, anonymize the results, and retrain and automatically redeploy a new model.

Learn how to proactively defend against security attacks and breaches by implementing network security, access management, and data security through the technologies available in the latest version of Red Hat Enterprise Linux.

Discover container fundamentals, including the basics of building container images, containerizing existing applications, and deploying containerized applications to Kubernetes-based platforms such as Red Hat OpenShift® Container Platform.

Walk through a real business use case to see how the new Red Hat OpenShift Data Science service and other open source tools can be used to engineer, train, and deploy a machine learning model and workloads.

Examining topics such as ease of use, security, performance, and management, our self-paced exercises will help you to develop familiarity and comfort with core and updated capabilities of Red Hat Enterprise Linux 8.