CONTAINER & CLOUD NAITIVE ROADSHOW

4 PART VIRTUAL WORKSHOP SERIES

PART 1 - MIGRATING WORKLOADS TO OPENSHIFT

This workshop guides developers on how to get started on their cloud-native journey, starting with monolithic application migration to a modern container platform using OpenShift, and modernizing applications using microservices and Red Hat Runtimes. We will show how to take an existing monolithic application and begin the process of migration and modernization by moving it off of a legacy Java platform and onto JBoss EAP, and then onto the cloud with OpenShift, using incremental steps to refactor the application to microservices and make use of OpenShift to effectively deploy and manage it at scale on the cloud.

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REGISTER FOR THE NEXT VIRTUAL WORKSHOP IN THIS SERIES

VIRTUAL WORKSHOP, 30TH JUNE 2021
2:00 PM - 5:00 PM (GMT+01:00)

Debugging, Monitoring and Continuous Delivery

2nd Workshop in the OpenShift Series

This module shows how developers can get more insights into their applications before and after they hit production using Red Hat Runtimes and OpenShift to debug and monitor application behaviour and performance. Once the app is ready to go into production, the module shows how to continuously deploy those applications to the cloud safely and consistently.

VIRTUAL WORKSHOP, 15TH SEPTEMBER 2021
2:00 PM - 5:00 PM (GMT+01:00)

Control Cloud-Native Apps with Service Mesh

3rd Workshop in the OpenShift Series

This module shows how developers can use the OpenShift service mesh to provide powerful visualization and control over their distributed microservice applications.

VIRTUAL WORKSHOP, 27TH OCTOBER 2021
2:00 PM - 5:00 PM (GMT+01:00)

Advanced Cloud Native with Event-Driven Serverless

4th Workshop in the OpenShift Series

This module shows how developers can begin their event-driven journey by implementing a subset of a microservices application using and end-to-end (data > application > user) event-driven architecture. The module also introduces serverless design into the architecture, allowing applications to dynamically scale up and down based on changing demand.