Red Hat Immersion 2023 Service Offerings and Labs

My personal notes from a learning series from RedHat

About Learning Days

Day 1 Features: Red Hat Immersion 2023 Service Offerings and Labs - Features and Services - Red Hat Immersion 2023 Service Offerings and Labs - Features and Services
Day 2 Deployment and App Management: Red Hat Immersion 2023 Service Offerings and Labs - Deployment and App Management - Red Hat Immersion 2023 Service Offerings and Labs - Deployment and App Management
Day 3 App Development: Red Hat Immersion 2023 Service Offerings and Labs - Application Development - Red Hat Immersion 2023 Service Offerings and Labs - Application Development

About Sessions

Day 1: Commence with Red Hat OpenShift Essentials

Begin your OpenShift Journey with a comprehensive 2.5 hr session covering Red Hat OpenShift key features, OpenShift Service Offerings and Red Hat Training Offerings.

Day 2: Expert Led Live Labs and Presentation

Participants will delve into various topics such as OpenShift deployment, application management, monitoring, and collaborative development, with the option to choose from four programming languages: Java, Node.js, Python, or .NET.

Containers
Kubernetes
Developer Experience (Operators, Service Mesh, Serverless, Developer Catalog, UBI, Helm)

Learning Outcomes

Using the OpenShift command-line client and web console.
Deploying an application using a pre-existing container image.
Working with application labels to identify component parts.
Scaling up your application in order to handle web traffic.
Exposing your application to users outside of the cluster.
Viewing and working with logs generated by your application.
Accessing your application container and interacting with it.
Giving access to other users to collaborate on your application.
Deploying an application from source code in a Git repository.
Deploying a database from the OpenShift service catalog.
Configuring an application so it can access a database.
Setting up webhooks to enable automated application builds.

There are 4 programming language variants that can be selected during the workshop:

Java
Node.js
Python
.NET

Day 3: Modern Application Development

Offers a comprehensive look into Modern Application Development. These modules cover a range of topics, including assessment, refactoring, API management, and creating intelligent applications using Red Hat AI Services.

Lab: OpenShift Advanced for Developers - Modern App Dev: 10:00am - 4:00pm

Developers will learn to assess and analyze an application for modernization and will experience a hands-on overview of application services. You will also learn about API management, and integration, and how they can enhance your application portfolio. Lastly, learn how to create intelligent applications powered by AI/ML with the help of RHODS. There are 4 modules:

Module 1: Assessment and Analysis (1 Hour): 10:00 - 11:15

The goal of this module is to assess the siloed current application portfolio and identify potential issues and risks to implementing advanced cloud-native architecture with application modernization. You will also learn how to analyze the siloed application by scanning all source code and properties for code modification along with an analysis report using Migration Toolkit for Applications.

Module 2: Refactor and Deployment - Legacy to Container Workload (1 Hour) 11:15 - 12:30 PM

Understand the modernization issues related to the siloed application and learn how you can resolve them by code modification. The MTA Analysis report also provides the details in terms of the file name, path, and solution recommendations for each issue. You also learn how to build and deploy the modernized customer application to OpenShift using OpenShift Binary Build and Deployment.

Module 3: Manage and Secure APIs (1 Hour): 1:30 PM - 2:45 PM

This module shows how an API First Approach provides the right framework to build microservices and APIs-based systems. Developer teams can adopt an API First approach for designing the APIs with an API designer, managing them with Service Registry, mock the APIs for faster inner loop development using popular tools for mocking tools, and securely managing the APIs using the API Management Platform. This approach enables parallel development streams, leading to rapid development.

Module 4: Create an Intelligent Application using Red Hat AI Services (1 Hour): 2:45 PM - 4:00 PM

This module shows how development teams can create intelligent applications powered by Artificial Intelligence and Machine Learning (AI/ML) algorithms on OpenShift, with the help of Red Hat OpenShift AI. Developers, Data Scientists, and Data Engineers can now work on the same platform, streamlining the whole development process of those types of applications. This allows the teams easy access to all the tools they need and is used to work with, without having to manage several different other solutions.