:warning: [Attempting to upgrade from an older release straight to the latest release is unsupported and likely to break something](https://github.com/kubernetes-sigs/kubespray/issues/3849#issuecomment-451386515) :warning:
The var ```-e upgrade_cluster_setup=true``` is needed to be set in order to migrate the deploys of e.g kube-apiserver inside the cluster immediately which is usually only done in the graceful upgrade. (Refer to [#4139](https://github.com/kubernetes-sigs/kubespray/issues/4139) and [#4736](https://github.com/kubernetes-sigs/kubespray/issues/4736))
If you want to manually control the upgrade procedure, you can set some variables to pause the upgrade playbook. Pausing *before* upgrading each upgrade may be useful for inspecting pods running on that node, or performing manual actions on the node:
*`upgrade_node_confirm: true` - This will pause the playbook execution prior to upgrading each node. The play will resume when manually approved by typing "yes" at the terminal.
*`upgrade_node_pause_seconds: 60` - This will pause the playbook execution for 60 seconds prior to upgrading each node. The play will resume automatically after 60 seconds.
Pausing *after* upgrading each node may be useful for rebooting the node to apply kernel updates, or testing the still-cordoned node:
*`upgrade_node_post_upgrade_confirm: true` - This will pause the playbook execution after upgrading each node, but before the node is uncordoned. The play will resume when manually approved by typing "yes" at the terminal.
*`upgrade_node_post_upgrade_pause_seconds: 60` - This will pause the playbook execution for 60 seconds after upgrading each node, but before the node is uncordoned. The play will resume automatically after 60 seconds.
If you don't want to upgrade all nodes in one run, you can use `--limit` [patterns](https://docs.ansible.com/ansible/latest/user_guide/intro_patterns.html#patterns-and-ansible-playbook-flags).
Before using `--limit` run playbook `facts.yml` without the limit to refresh facts cache for all nodes:
:warning: [Do not skip releases when upgrading--upgrade by one tag at a time.](https://github.com/kubernetes-sigs/kubespray/issues/3849#issuecomment-451386515) :warning:
For instance, if you're on v2.6.0, then check out v2.7.0, run the upgrade, check out the next tag, and run the next upgrade, etc.
Assuming you don't explicitly define a kubernetes version in your k8s_cluster.yml, you simply check out the next tag and run the upgrade-cluster.yml playbook
* If you do define kubernetes version in your inventory (e.g. group_vars/k8s_cluster.yml) then either make sure to update it before running upgrade-cluster, or specify the new version you're upgrading to: `ansible-playbook -i inventory/mycluster/hosts.ini -b upgrade-cluster.yml -e kube_version=v1.11.3`
Previous HEAD position was 05dabb7e Fix Bionic networking restart error #3430 (#3431)
HEAD is now at 9051aa52 Fix ubuntu-contiv test failed (#3808)
```
:info: NOTE: Review changes between the sample inventory and your inventory when upgrading versions. :info:
Some deprecations between versions that mean you can't just upgrade straight from 2.7.0 to 2.8.0 if you started with the sample inventory.
In this case, I set "kubeadm_enabled" to false, knowing that it is deprecated and removed by 2.9.0, to delay converting the cluster to kubeadm as long as I could.
If you do not keep your inventory copy up to date, **your upgrade will fail** and your first master will be left non-functional until fixed and re-run.
It is at this point the cluster was upgraded from non-kubeadm to kubeadm as per the deprecation warning.
Please note that **migrating container engines is not officially supported by Kubespray**. While this procedure can be used to migrate your cluster, it applies to one particular scenario and will likely evolve over time. At the moment, they are intended as an additional resource to provide insight into how these steps can be officially integrated into the Kubespray playbooks.
As of Kubespray 2.18.0, containerd is already the default container engine. If you have the chance, it is advisable and safer to reset and redeploy the entire cluster with a new container engine.
* [Migrating from Docker do Containerd](upgrades/migrate_docker2containerd.md)
