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📃 Update chapter on static pods
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@@ -1,147 +1,109 @@
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# Static pods
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- Hosting the Kubernetes control plane on Kubernetes has advantages:
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Question: can we host the control plane of a cluster *on the cluster itself?*
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- we can use Kubernetes' replication and scaling features for the control plane
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- To create a Pod, we need to communicate with the API server
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- we can leverage rolling updates to upgrade the control plane
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- The API server needs etcd to be up
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- However, there is a catch:
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- Then the Pod needs to be bound to a node by the scheduler
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- deploying on Kubernetes requires the API to be available
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- So... all these things need to be running already!
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- the API won't be available until the control plane is deployed
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- Even if the Pod already exists, we still need API server and etcd
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- How can we get out of that chicken-and-egg problem?
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(so that kubelet can connect to the API server and "know" about the Pod)
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---
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## A possible approach
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## Static pods
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- Since each component of the control plane can be replicated...
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Solution: run (parts of) the control plane in *static pods!*
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- We could set up the control plane outside of the cluster
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- Normally, kubelet queries the API server to know what pods to run
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- Then, once the cluster is fully operational, create replicas running on the cluster
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- Additionally, we can tell kubelet to run pods:
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- Finally, remove the replicas that are running outside of the cluster
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- by storing manifests in a directory (`--pod-manifest-path`)
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*What could possibly go wrong?*
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- by retrieving manifests from an HTTP server (`--manifest-url`)
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- These manifests should be normal pod manifests
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(make sure to include the namespace in the metadata block!)
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- kubelet will append the node name after the pod name
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---
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## Sawing off the branch you're sitting on
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## How and when kubelet runs static pods
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- What if anything goes wrong?
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- kubelet runs static pods "no matter what"
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(During the setup or at a later point)
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(even if it can't connect to the API server, or if no API server is configured)
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- Worst case scenario, we might need to:
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- When there is no API server configuration, that's called "standalone mode"
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- set up a new control plane (outside of the cluster)
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- Almost nothing can prevent kubelet from running these pods
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- restore a backup from the old control plane
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(e.g. admission controllers, pod security settings... won't apply)
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- move the new control plane to the cluster (again)
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- kubelet monitors the manifest path (and/or the manifest URL)
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- This doesn't sound like a great experience
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- If manifests are deleted: their pods are destroyed
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- If manifests are modified: their pods are destroyed and recreated
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---
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## Static pods to the rescue
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## Mirror pods
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- Pods are started by kubelet (an agent running on every node)
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- Static pods remain running even after API server connection is up
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- To know which pods it should run, the kubelet queries the API server
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- Once the API server is up, kubelet will create *mirror pods*
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- The kubelet can also get a list of *static pods* from:
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- Mirror pods represent the static pods that are running
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- a directory containing one (or multiple) *manifests*, and/or
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.warning[Deleting a mirror pod has no effect on the static pod!]
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- a URL (serving a *manifest*)
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- kubelet will immediately recreate the mirror pod if it is deleted
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- These "manifests" are basically YAML definitions
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.warning[Admission control can block the mirror pod, but not the static pod!]
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(As produced by `kubectl get pod my-little-pod -o yaml`)
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- Since kubelet runs the static pod even if there is no connection to the API server
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---
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## Static pods are dynamic
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## Example
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- Kubelet will periodically reload the manifests
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- `kubeadm` leverages static pods to run the control plane
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- It will start/stop pods accordingly
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(etcd, API server, controller manager, scheduler)
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(i.e. it is not necessary to restart the kubelet after updating the manifests)
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- It "renders" a number of YAML manifests to `/etc/kubernetes/manifests`
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- When connected to the Kubernetes API, the kubelet will create *mirror pods*
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- This is the cluster boot sequence:
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- Mirror pods are copies of the static pods
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- machine boots
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(so they can be seen with e.g. `kubectl get pods`)
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- kubelet is started (typically by systemd)
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- kubelet reads static pod manifests and run them
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- control plane is up, yay!
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---
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## Bootstrapping a cluster with static pods
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class: extra-details
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- We can run control plane components with these static pods
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## Pod checkpointer
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- They can start without requiring access to the API server
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- Once they are up and running, the API becomes available
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- These pods are then visible through the API
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(We cannot upgrade them from the API, though)
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*This is how kubeadm has initialized our clusters.*
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---
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## Static pods vs normal pods
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- The API only gives us read-only access to static pods
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- We can `kubectl delete` a static pod...
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...But the kubelet will re-mirror it immediately
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- Static pods can be selected just like other pods
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(So they can receive service traffic)
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- A service can select a mixture of static and other pods
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---
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## From static pods to normal pods
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- Once the control plane is up and running, it can be used to create normal pods
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- We can then set up a copy of the control plane in normal pods
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- Then the static pods can be removed
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- The scheduler and the controller manager use leader election
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(Only one is active at a time; removing an instance is seamless)
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- Each instance of the API server adds itself to the `kubernetes` service
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- Etcd will typically require more work!
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---
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## From normal pods back to static pods
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- Alright, but what if the control plane is down and we need to fix it?
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- We restart it using static pods!
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- This can be done automatically with a “pod checkpointer”
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- This pattern isn't used anymore, but perhaps it can provide inspiration
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- The pod checkpointer automatically generates manifests of running pods
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(if they have specific labels/annotations)
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- The manifests are used to restart these pods if API contact is lost
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- This pattern is implemented in [openshift/pod-checkpointer-operator] and [bootkube checkpointer]
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@@ -151,95 +113,6 @@
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[openshift/pod-checkpointer-operator]: https://github.com/openshift/pod-checkpointer-operator
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[bootkube checkpointer]: https://github.com/kubernetes-retired/bootkube/blob/master/cmd/checkpoint/README.md
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---
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## Where should the control plane run?
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*Is it better to run the control plane in static pods, or normal pods?*
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- If I'm a *user* of the cluster: I don't care, it makes no difference to me
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- What if I'm an *admin*, i.e. the person who installs, upgrades, repairs... the cluster?
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- If I'm using a managed Kubernetes cluster (AKS, EKS, GKE...) it's not my problem
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(I'm not the one setting up and managing the control plane)
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- If I already picked a tool (kubeadm, kops...) to set up my cluster, the tool decides for me
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- What if I haven't picked a tool yet, or if I'm installing from scratch?
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- static pods = easier to set up, easier to troubleshoot, less risk of outage
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- normal pods = easier to upgrade, easier to move (if nodes need to be shut down)
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---
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## Static pods in action
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- On our clusters, the `staticPodPath` is `/etc/kubernetes/manifests`
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.lab[
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- Have a look at this directory:
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```bash
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ls -l /etc/kubernetes/manifests
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```
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]
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We should see YAML files corresponding to the pods of the control plane.
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---
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class: static-pods-exercise
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## Running a static pod
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- We are going to add a pod manifest to the directory, and kubelet will run it
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.lab[
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- Copy a manifest to the directory:
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```bash
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sudo cp ~/container.training/k8s/just-a-pod.yaml /etc/kubernetes/manifests
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```
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- Check that it's running:
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```bash
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kubectl get pods
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```
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]
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The output should include a pod named `hello-node1`.
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---
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class: static-pods-exercise
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## Remarks
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In the manifest, the pod was named `hello`.
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```yaml
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apiVersion: v1
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kind: Pod
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metadata:
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name: hello
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namespace: default
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spec:
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containers:
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- name: hello
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image: nginx
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```
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The `-node1` suffix was added automatically by kubelet.
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If we delete the pod (with `kubectl delete`), it will be recreated immediately.
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To delete the pod, we need to delete (or move) the manifest file.
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???
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:EN:- Static pods
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Reference in New Issue
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