Chapter 1. Understanding OpenShift updates

One of the resources that the Cluster Version Operator (CVO) monitors is the ClusterVersion resource.

Administrators and OpenShift components can communicate or interact with the CVO through the ClusterVersion object. The desired CVO state is declared through the ClusterVersion object and the current CVO state is reflected in the object’s status.

The CVO continually reconciles the cluster with the target state declared in the spec property of the ClusterVersion resource. When the desired release differs from the actual release, that reconciliation updates the cluster.

Update availability data

The ClusterVersion resource also contains information about updates that are available to the cluster. This includes updates that are available, but not recommended due to a known risk that applies to the cluster. These updates are known as conditional updates. To learn how the CVO maintains this information about available updates in the ClusterVersion resource, see the "Evaluation of update availability" section.

The Cluster Version Operator (CVO) periodically queries the OpenShift Update Service (OSUS) for the most recent data about update possibilities. This data is based on the cluster’s subscribed channel. The CVO then saves information about update recommendations into either the availableUpdates or conditionalUpdates field of its ClusterVersion resource.

The CVO periodically checks the conditional updates for update risks. These risks are conveyed through the data served by the OSUS, which contains information for each version about known issues that might affect a cluster updated to that version. Most risks are limited to clusters with specific characteristics, such as clusters with a certain size or clusters that are deployed in a particular cloud platform.

The CVO continuously evaluates its cluster characteristics against the conditional risk information for each conditional update. If the CVO finds that the cluster matches the criteria, the CVO stores this information in the conditionalUpdates field of its ClusterVersion resource. If the CVO finds that the cluster does not match the risks of an update, or that there are no risks associated with the update, it stores the target version in the availableUpdates field of its ClusterVersion resource.

The user interface, either the web console or the OpenShift CLI (oc), presents this information in sectioned headings to the administrator. Each supported but not recommended update recommendation contains a link to further resources about the risk so that the administrator can make an informed decision about the update.

The fast-4.15 channel is updated with new versions of OpenShift Container Platform 4.15 as soon as Red Hat declares the version as a general availability (GA) release. As such, these releases are fully supported and purposed to be used in production environments.

While the fast-4.15 channel contains releases as soon as their errata are published, releases are added to the stable-4.15 channel after a delay. During this delay, data is collected from multiple sources and analyzed for indications of product regressions. Once a significant number of data points have been collected, these releases are added to the stable channel.

Newly installed clusters default to using stable channels.

In addition to the stable channel, all even-numbered minor versions of OpenShift Container Platform offer Extended Update Support (EUS). Releases promoted to the stable channel are also simultaneously promoted to the EUS channels. The primary purpose of the EUS channels is to serve as a convenience for clusters performing a Control Plane Only update.

The candidate-4.15 channel offers unsupported early access to releases as soon as they are built. Releases present only in candidate channels may not contain the full feature set of eventual GA releases or features may be removed prior to GA. Additionally, these releases have not been subject to full Red Hat Quality Assurance and may not offer update paths to later GA releases. Given these caveats, the candidate channel is only suitable for testing purposes where destroying and recreating a cluster is acceptable.

OpenShift Container Platform maintains an update recommendation service that knows your installed OpenShift Container Platform version and the path to take within the channel to get you to the next release. Update paths are also limited to versions relevant to your currently selected channel and its promotion characteristics.

You can imagine seeing the following releases in your channel:

The service recommends only updates that have been tested and have no known serious regressions. For example, if your cluster is on 4.15.1 and OpenShift Container Platform suggests 4.15.4, then it is recommended to update from 4.15.1 to 4.15.4.

Red Hat monitors newly released versions and update paths associated with those versions before and after they are added to supported channels.

If Red Hat removes update recommendations from any supported release, a superseding update recommendation will be provided to a future version that corrects the regression. There may however be a delay while the defect is corrected, tested, and promoted to your selected channel.

Beginning in OpenShift Container Platform 4.10, when update risks are confirmed, they are declared as Conditional Update risks for the relevant updates. Each known risk may apply to all clusters or only clusters matching certain conditions. Some examples include having the Platform set to None or the CNI provider set to OpenShiftSDN. The Cluster Version Operator (CVO) continually evaluates known risks against the current cluster state. If no risks match, the update is recommended. If the risk matches, those updates are supported but not recommended, and a reference link is provided. The reference link helps the cluster admin decide if they would like to accept the risk and update anyway.

When Red Hat chooses to declare Conditional Update risks, that action is taken in all relevant channels simultaneously. Declaration of a Conditional Update risk may happen either before or after the update has been promoted to supported channels.

Choosing the appropriate channel involves two decisions.

First, select the minor version you want for your cluster update. Selecting a channel which matches your current version ensures that you only apply z-stream updates and do not receive feature updates. Selecting an available channel which has a version greater than your current version will ensure that after one or more updates your cluster will have updated to that version. Your cluster will only be offered channels which match its current version, the next version, or the next EUS version.

Second, you should choose your desired rollout strategy. You may choose to update as soon as Red Hat declares a release GA by selecting from fast channels or you may want to wait for Red Hat to promote releases to the stable channel. Update recommendations offered in the fast-4.15 and stable-4.15 are both fully supported and benefit equally from ongoing data analysis. The promotion delay before promoting a release to the stable channel represents the only difference between the two channels. Updates to the latest z-streams are generally promoted to the stable channel within a week or two, however the delay when initially rolling out updates to the latest minor is much longer, generally 45-90 days. Please consider the promotion delay when choosing your desired channel, as waiting for promotion to the stable channel may affect your scheduling plans.

Additionally, there are several factors which may lead an organization to move clusters to the fast channel either permanently or temporarily including:

If you manage the container images for your OpenShift Container Platform clusters yourself, you must consult the Red Hat errata that is associated with product releases and note any comments that impact updates. During an update, the user interface might warn you about switching between these versions, so you must ensure that you selected an appropriate version before you bypass those warnings.

A channel can be switched from the web console or through the adm upgrade channel command:

$ oc adm upgrade channel <channel>

The web console will display an alert if you switch to a channel that does not include the current release. The web console does not recommend any updates while on a channel without the current release. You can return to the original channel at any point, however.

Changing your channel might impact the supportability of your cluster. The following conditions might apply:

The Cluster Version Operator (CVO) retrieves the target update release image and applies to the cluster. All components which run as pods are updated during this phase, whereas the host components are updated by the Machine Config Operator (MCO). This process might take 60 to 120 minutes.

The Machine Config Operator (MCO) applies a new machine configuration to each control plane and compute node. During this process, the MCO performs the following sequential actions on each node of the cluster:

The time to complete this process depends on several factors including the node and infrastructure configuration. This process might take 5 or more minutes to complete per node.

In addition to MCO, you should consider the impact of the following parameters:

The previous diagram shows an example of the time that cluster Operators might take to update to their new versions. The example is based on a three-node AWS OVN cluster, which has a healthy compute MachineConfigPool and no workloads that take long to drain, updating from 4.13 to 4.14.

Each cluster Operator has characteristics that affect the time it takes to update itself. For instance, the Kube API Server Operator in this example took more than eleven minutes to update because kube-apiserver provides graceful termination support, meaning that existing, in-flight requests are allowed to complete gracefully. This might result in a longer shutdown of the kube-apiserver. In the case of this Operator, update speed is sacrificed to help prevent and limit disruptions to cluster functionality during an update.

Another characteristic that affects the update duration of an Operator is whether the Operator utilizes DaemonSets. The Network and DNS Operators utilize full-cluster DaemonSets, which can take time to roll out their version changes, and this is one of several reasons why these Operators might take longer to update themselves.

The update duration for some Operators is heavily dependent on characteristics of the cluster itself. For instance, the Machine Config Operator update applies machine configuration changes to each node in the cluster. A cluster with many nodes has a longer update duration for the Machine Config Operator compared to a cluster with fewer nodes.