doc: rollout weights moved out of Linkerd

docs/gitbook/tutorials/linkerd-progressive-delivery.md

@@ -109,46 +109,6 @@ spec:
           cmd: "hey -z 2m -q 10 -c 2 http://podinfo-canary.test:9898/"
 ```
 
-### Rollout Weights
-
-By default Flagger allows to use linear promotion metrics, with the start value, the step and maximum weight value in 0 to 100 range.  
-
-Example:
-```yaml
-canary:
-  analysis:
-    promotion:
-      maxWeight: 50
-      stepWeight: 20
-```
-This configuration performs analysis starting from 20, increasing by 20 until weight goes above 50.  
-We would have steps (canary weight : primary weight):
-* 20 (20 : 80)
-* 40 (40 : 60)
-* 60 (60 : 40)
-* promotion
-
-In order to enable non-linear promotion a new parameters were introduced:
-* `fullWeight` - determines the sum of canary and primary weights, i.e. the maximum possible weight which can be set to the split
-* `stepWeights` - determines the ordered array of weights, which shall be used during canary promotion.
-
-Example:
-```yaml
-canary:
-  analysis:
-    promotion:
-      fullWeight: 1000
-      maxWeight: 500
-      stepWeights: [1, 10, 100, 800]
-```
-This configuration performs analysis starting from 1, going through `stepWeights` values till 800.  
-We would have steps (canary weight : primary weight):
-* 1   (1 : 999)
-* 10  (10 : 990)
-* 100 (100 : 900)
-* 800 (800 : 200)
-* promotion
-
 Save the above resource as podinfo-canary.yaml and then apply it:
 
 ```bash

docs/gitbook/tutorials/rollout-weights.md

@@ -0,0 +1,41 @@
+# Linkerd Rollout Weights
+
+This guide shows you how to use weights in Flagger to have more fine-grained rollouts.  
+
+By default Flagger allows to use linear promotion metrics, with the start value, the step and maximum weight value in 0 to 100 range.  
+
+Example:
+```yaml
+canary:
+  analysis:
+    promotion:
+      maxWeight: 50
+      stepWeight: 20
+```
+This configuration performs analysis starting from 20, increasing by 20 until weight goes above 50.  
+We would have steps (canary weight : primary weight):
+* 20 (20 : 80)
+* 40 (40 : 60)
+* 60 (60 : 40)
+* promotion
+
+In order to enable non-linear promotion a new parameters were introduced:
+* `fullWeight` - determines the sum of canary and primary weights, i.e. the maximum possible weight which can be set to the split
+* `stepWeights` - determines the ordered array of weights, which shall be used during canary promotion.
+
+Example:
+```yaml
+canary:
+  analysis:
+    promotion:
+      fullWeight: 1000
+      maxWeight: 500
+      stepWeights: [1, 10, 100, 800]
+```
+This configuration performs analysis starting from 1, going through `stepWeights` values till 800.  
+We would have steps (canary weight : primary weight):
+* 1   (1 : 999)
+* 10  (10 : 990)
+* 100 (100 : 900)
+* 800 (800 : 200)
+* promotion