Install OpenShift Locally: Single-Node Cluster Setup with CodeReady Containers (CRC)

Our course you can check :-   Udemy course 

Here’s a step-by-step guide to install a single-node OpenShift cluster using CodeReady Containers (CRC) on your local machine:

---

🧰 Prerequisites

• Red Hat account (free at developers.redhat.com)
• Pull secret from cloud.redhat.com
• System requirements:
  • 4 vCPUs
  • 8–9 GB RAM
  • 35–40 GB disk space
  • VT-x/AMD-v enabled in BIOS
  • Supported OS: Linux (RHEL, Fedora, CentOS), Windows 10, macOS (Intel only)

---

🖥️ Installation Steps

Step 1: Download CRC

Visit the CRC download page and download the appropriate binary for your OS.

Step 2: Extract and Install CRC

For Linux:

tar -xvf crc-linux-amd64.tar.xz

sudo mv crc-linux-*/crc /usr/local/bin/

For Windows/macOS:

• Run the installer .msi or .pkg file.
• Restart your system if prompted.

Step 3: Setup CRC

crc setup

This command prepares your system and downloads the required VM bundle.

Step 4: Start the Cluster

crc start -p /path/to/pull-secret.txt

Replace /path/to/pull-secret.txt with the actual path to your downloaded pull secret.

Step 5: Access the Cluster

• Web Console: Run crc console to get the URL.
• CLI Access:

crc oc-env

eval $(crc oc-env)

oc login -u developer -p developer

You’ll also get kubeadmin credentials during crc start for admin access.


Conclusion:-

Want to run OpenShift on your laptop without the complexity of a full cluster? This course shows you how to install a single-node OpenShift cluster using CodeReady Containers (CRC)—perfect for developers, DevOps engineers, and SREs who want a local OpenShift environment for testing and learning.

In this hands-on course, you'll learn:

• How to download and install CRC on Linux, Windows, or macOS
• How to configure your system and start the OpenShift cluster
• How to use the oc CLI and OpenShift web console
• How to deploy sample applications locally
• How to troubleshoot common CRC issues

By the end of this course, you'll have a fully functional OpenShift cluster running on your machine—ideal for development, experimentation, and learning OpenShift fundamentals.