diff --git a/docs/high-availability.md b/docs/high-availability.md
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--- a/docs/high-availability.md
+++ b/docs/high-availability.md
@@ -1,26 +1,43 @@
 # High-Availability (HA)
 
+By default, the Workflow Controller Pod(s) and the Argo Server Pod(s) do not have resource requests or limits configured.
+Set resource requests to guarantee a resource allocation appropriate for your workloads.
+
+When you use multiple replicas of the same deployment, spread the Pods across multiple availability zones.
+At a minimum, ensure that the Pods are not scheduled on the same node.
+
+Use a [Pod Disruption Budget](https://kubernetes.io/docs/concepts/workloads/pods/disruptions/#pod-disruption-budgets) to prevent all replicas from being replaced simultaneously.
+
 ## Workflow Controller
 
-Before v3.0, only one controller could run at once. (If it crashed, Kubernetes would start another pod.)
+In the event of a Workflow Controller Pod failure, the replacement Controller Pod will continue running Workflows when it is created.
+In most cases, this short loss of Workflow Controller service may be acceptable.
 
-> v3.0 and after
+If you run a single replica of the Workflow Controller, ensure that the [environment variable](environment-variables.md#controller) `LEADER_ELECTION_DISABLE` is set to `true` and that the Pod uses the `workflow-controller` [Priority Class](https://kubernetes.io/docs/concepts/scheduling-eviction/pod-priority-preemption/) included in the installation manifests.
 
-For many users, a short loss of workflow service may be acceptable - the new controller will just continue running
-workflows if it restarts.  However, with high service guarantees, new pods may take too long to start running workflows.
-You should run two replicas, and one of which will be kept on hot-standby.
+By disabling the leader election process, you can avoid unnecessary communication with the Kubernetes API, which may become unresponsive when running Workflows at scale.
 
-A voluntary pod disruption can cause both replicas to be replaced at the same time. You should use a Pod Disruption
-Budget to prevent this and Pod Priority to recover faster from an involuntary pod disruption:
+By using the `PriorityClass`, you can ensure that the Workflow Controller Pod is scheduled before other Pods in the cluster.
 
-* [Pod Disruption Budget](https://kubernetes.io/docs/concepts/workloads/pods/disruptions/#pod-disruption-budgets)
-* [Pod Priority](https://kubernetes.io/docs/concepts/scheduling-eviction/pod-priority-preemption/)
+### Multiple Workflow Controller Replicas
 
-## Argo Server
+It is possible to run multiple replicas of the Workflow Controller to provide high-availability.
+Ensure that leader election is enabled (either by omitting the `LEADER_ELECTION_DISABLE` or setting it to `false`).
+
+Only one replica of the Workflow Controller will actively manage Workflows at any given time.
+The other replicas will be on standby, ready to take over if the active replica fails.
+This means that you are guaranteeing resource allocations for replicas that are not actively contributing to the running of Workflows.
 
-> v2.6 and after
+The leader election process requires frequent communication with the Kubernetes API.
+When running Workflows at scale, the Kubernetes API may become unresponsive, causing the leader election to take longer than 10 seconds (`LEADER_ELECTION_RENEW_DEADLINE`) to respond, which will disrupt the controller.
 
-Run a minimum of two replicas, typically three, should be run, otherwise it may be possible that API and webhook requests are dropped.
+### Considerations
+
+A single replica of the Workflow Controller is recommended for most use cases due to:
+
+- The time taken to re-provision the controller Pod often being faster than the time for an existing Pod to win a leader election, especially when the cluster is under load.
+- Saving on the cost of extra Kubernetes resource allocations that aren't being used.
+
+## Argo Server
 
-!!! Tip
-    Consider [spreading Pods across multiple availability zones](https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/).
+Run a minimum of two replicas, typically three, to avoid dropping API and webhook requests.