Event

Red Hat OpenShift chaos engineering workshop

February 8, 2023 | 1:00 PM - 3:00 PM (GMT-04:00) Eastern Time (US & Canada)

OVERVIEW

Building large-scale and distributed systems are changing the game for modern software engineering. A fundamental challenge we must address is understanding how our applications behave in the face of failure. Identifying the weaknesses of our systems is critical before they happen in production.  

The goal of chaos engineering is not to build tooling to stop issues or to find vulnerabilities. Instead, we must push further towards a culture of resilience to the unexpected. 

Please join us﹘with your laptop﹘to do your chaos experiment to see how it withstands turbulent conditions in production and to be prepared when it happens. In this hands-on workshop, attendees will get familiar with chaos engineering and learn how to put it into practice using advanced capabilities of Red Hat® OpenShift®, like Red Hat OpenShift Service Mesh.

As a takeaway, attendees will find out how to do the following:  

  • Deploy an application using ArgoCD.
  • Visualize and monitor a distributed system using Openshift Service Mesh.
  • Define and monitor chaos metrics using Grafana.
  • Bring chaos by injecting failures and latencies through Kiali’s advanced features.
  • Find and fix the weaknesses discovered in the modern patterns used at the workshop.

Presenter

Ravi Sharma

Ravi Sharma  

Senior Application Deployment Solutions Architect, Red Hat

Ravi Sharma is a Senior Solutions Architect with a focus on application modernization and deployment. He comes to Red Hat  with more than a decade of experience and expertise in the telecommunications domain.  He is currently helping customers develop cloud-native applications, onboard Red Hat OpenShift while using GitOps best practices to automate, safeguard, and manage complex environments. 

Virtual event details

Time: 1:00 PM - 3:00 PM (GMT-04:00) Eastern Time (US & Canada)

Date: February 8, 2023

Any questions? Please email lvillanu@redhat.com

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