Classes Data & Analytics
Red Hat
Red Hat OpenShift Administration I: Operating a Production Cluster (DO180)
- 4 days
- 9 upcoming dates
Upcoming dates
All times shown in the class's own timezone.
| Dates | Starts | Where | Status | Seat | Book |
|---|---|---|---|---|---|
| Aug 17-20 | 10:30 AM to 6:30 PM EDT | Live virtual | SCHEDULED | $4,700 | |
| Aug 31 to Sep 3 | 10:30 AM to 6:30 PM EDT | Live virtual | SCHEDULED | $4,700 | |
| Sep 14-17 | 10:30 AM to 6:30 PM EDT | Live virtual | SCHEDULED | $4,700 | |
| Sep 28 to Oct 1 | 10:30 AM to 6:30 PM EDT | Live virtual | SCHEDULED | $4,700 | |
| Oct 12-15 | 10:30 AM to 6:30 PM EDT | Live virtual | SCHEDULED | $4,700 | |
| Oct 26-29 | 10:30 AM to 6:30 PM EDT | Live virtual | SCHEDULED | $4,700 | |
| Nov 9-12 | 10:30 AM to 6:30 PM EST | Live virtual | SCHEDULED | $4,700 | |
| Nov 30 to Dec 3 | 10:30 AM to 6:30 PM EST | Live virtual | SCHEDULED | $4,700 | |
| Dec 14-17 | 10:30 AM to 6:30 PM EST | Live virtual | SCHEDULED | $4,700 |
About this class
Red Hat OpenShift Administration I: Operating a Production Cluster (DO180) prepares OpenShift cluster administrators to manage Kubernetes workloads and to collaborate with developers, DevOps engineers, system administrators, and SREs to ensure the availability of application workloads. This course focuses on managing typical end-user applications that are often accessible from a web or mobile UI and that represent most cloud-native and containerized workloads. Managing applications also includes deploying and updating their dependencies, such as databases, messaging, and authentication systems.
The skills that you learn in this course apply to all versions of OpenShift, including Red Hat OpenShift on AWS (ROSA), Azure Red Hat OpenShift, and OpenShift Container Platform.
This course is based on Red Hat OpenShift 4.18.
What you'll be able to do
- Managing OpenShift clusters from the command-line interface and from the web console
- Deploying applications on OpenShift from container images, templates, and Kubernetes manifests
- Troubleshooting network connectivity between applications inside and outside an OpenShift cluster
- Connecting Kubernetes workloads to storage for application data
- Configuring Kubernetes workloads for high availability and reliability
- Managing updates to container images, settings, and Kubernetes manifests of an application
Course outline
1 - Introduction to Kubernetes and OpenShift
- Identify the main Kubernetes cluster services and OpenShift platform services, and monitor them from the web console.
2 - Kubernetes and OpenShift Command-Line Interfaces and APIs
- Access an OpenShift cluster from the command line, and query its Kubernetes API resources to assess the health of a cluster.
3 - Run Applications as Containers and Pods
- Run and troubleshoot containerized applications as unmanaged Kubernetes pods.
4 - Deploy Managed and Networked Applications on Kubernetes
- Deploy applications and expose them to network access from inside and outside a Kubernetes cluster.
5 - Manage Storage for Application Configuration and Data
- Externalize application configurations in Kubernetes resources, and provision storage volumes for persistent data files.
6 - Configure Applications for Reliability
- Configure applications to work with Kubernetes for high availability and resilience.
7 - Manage Application Updates
- Manage reproducible application updates and rollbacks of code and configurations.
Who this is for
This course is intended for Developers who wish to containerize software applications, Administrators who are new to container technology and container orchestration, or Architects who are considering using container technologies in software architectures. Be able to use a Linux terminal session, issue operating system commands, and be familiar with shell scripting Have experience with web application architectures and their corresponding technologies. Being a Red Hat Certified System Administrator (RHCSA®) is recommended, but not required.
How reserving works. Your card is authorized, not charged. We confirm the seat with the training center, usually within one business day, and take payment only once it is held. If the class turns out to be full we release the authorization and you are not charged.
Request a quote
Tell us how many people and roughly when. We'll come back with dates, seat price, and a total by the end of the next business day.