Develop and deploy event-driven auto-scaling serverless applications and functions
Learn how to develop, deploy, and auto-scale event driven serverless applications on the Red Hat OpenShift Container Platform. Red Hat OpenShift Serverless enables developers and Site Reliability Engineers (SREs) to focus on the core business logic of their applications and functions by delegating operational concerns and infrastructure services to the Red Hat® OpenShift Serverless platform.
This course is based on Red Hat OpenShift Serverless 1.23 and OpenShift Container Platform 4.10.
Following course completion, you will receive a 45-day extended access to hands-on labs for any course that includes a virtual environment.
Note: This course is offered as a two day virtual class or self-paced. Durations may vary based on the delivery. For full course details, scheduling, and pricing, select your location then “get started” on the right hand menu.
Virtual Learning
This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.
Introduction to Red Hat OpenShift Serverless and Knative
Describe the architecture of Red Hat OpenShift Serverless
Develop Serverless Applications by using Knative Serving
Deploy and scale serverless applications with Knative Serving
Develop Event-driven Serverless Applications by using Knative Eventing
Implement event driven serverless applications using Knative Eventing
Develop Applications by Using OpenShift Serverless Functions
Implement serverless applications using OpenShift Serverless Functions
- Cloud-native application developers interested in developing serverless applications
- Site Reliability Engineers and OpenShift Administrators interested in using serverless technologies to automate operations and developing utility tools to manage and monitor their applications.
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