Upgrade methods and strategies

When new versions of OKD are released, you can upgrade your existing cluster to apply the latest enhancements and bug fixes. For OpenShift Origin, see the Releases page on GitHub to review the latest changes.

The OKD upgrade process uses Ansible playbooks to automate the tasks needed to upgrade your cluster. You must use the inventory file that you used during initial installation or during the last time that the upgrade was successful to run the upgrade playbook. Using this method allows you to choose between either upgrade strategy: in-place upgrades or blue-green deployments.

Unless noted otherwise, node and masters within a major version are forward and backward compatible across one minor version, so upgrading your cluster should go smoothly. However, you should not run mismatched versions longer than necessary to upgrade the entire cluster.

Before upgrading, ensure that all OKD services are running well. In the event of a control plane upgrade failure, check the versions of your masters to ensure that all versions are the same. If your masters are all the same version, re-run the upgrade. If they differ, downgrade the masters to match the lower versioned master, then re-run the upgrade.

Upgrade Strategies

There are two strategies you can take for performing the OKD cluster upgrade: in-place upgrades or blue-green deployments.

In-place Upgrades

With in-place upgrades, the cluster upgrade is performed on all hosts in a single, running cluster: first masters and then nodes. Pods are evacuated off of nodes and recreated on other running nodes before a node upgrade begins; this helps reduce downtime of user applications.

Blue-green Deployments

The blue-green deployment upgrade method follows a similar flow to the in-place method: masters and etcd servers are still upgraded first, however a parallel environment is created for new nodes instead of upgrading them in-place.

This method allows administrators to switch traffic from the old set of nodes (e.g., the “blue” deployment) to the new set (e.g., the “green” deployment) after the new deployment has been verified. If a problem is detected, it is also then easy to rollback to the old deployment quickly.