diff --git a/slides/kube/daemonset.md b/slides/kube/daemonset.md
index 93945f4b..b502fec3 100644
--- a/slides/kube/daemonset.md
+++ b/slides/kube/daemonset.md
@@ -460,3 +460,39 @@ The timestamps should give us a hint about how many pods are currently receiving
     kubectl get pods -l run=rng -o name |
       xargs kubectl patch -p "$PATCH" 
   ```
+
+---
+
+## Labels and debugging
+
+- When a pod is misbehaving, we can delete it: another one will be recreated
+
+- But we can also change its labels
+
+- It will be removed from the load balancer (it won't receive traffic anymore)
+
+- Another pod will be recreated immediately
+
+- But the problematic pod is still here, and we can inspect and debug it
+
+- We can even re-add it to the rotation if necessary
+
+  (Very useful to troubleshoot intermittent and elusive bugs)
+
+---
+
+## Labels and advanced rollout control
+
+- Conversely, we can add pods matching a service's selector
+
+- These pods will then receive requests and serve traffic
+
+- Examples:
+
+  - one-shot pod with all debug flags enabled, to collect logs
+
+  - pods created automatically, but added to rotation in a second step
+    <br/>
+    (by setting their label accordingly)
+
+- This gives us building blocks for canary and blue/green deployments
diff --git a/slides/kube/rollout.md b/slides/kube/rollout.md
index 10a49913..1b479415 100644
--- a/slides/kube/rollout.md
+++ b/slides/kube/rollout.md
@@ -94,6 +94,26 @@ That rollout should be pretty quick. What shows in the web UI?
 
 ---
 
+## Give it some time
+
+- At first, it looks like nothing is happening (the graph remains at the same level)
+
+- According to `kubectl get deploy -w`, the `deployment` was updated really quickly
+
+- But `kubectl get pods -w` tells a different story
+
+- The old `pods` are still here, and they stay in `Terminating` state for a while
+
+- Eventually, they are terminated; and then the graph decreases significantly
+
+- This delay is due to the fact that our worker doesn't handle signals
+
+- Kubernetes sends a "polite" shutdown request to the worker, which ignores it
+
+- Eventually, Kubernetes gets impatient and kills the container
+
+---
+
 ## Rolling out a boo-boo
 
 - What happens if we make a mistake?