Update using-effective-hpa-to-scaling-with-effectiveness.md

ce985b5b · zsnmwy · GitHub · 1ed79325 · ce985b5b
Unverified Commit ce985b5b authored 3 years ago by zsnmwy Committed by GitHub 3 years ago
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--- a/docs/tutorials/using-effective-hpa-to-scaling-with-effectiveness.md
+++ b/docs/tutorials/using-effective-hpa-to-scaling-with-effectiveness.md
@@ -425,5 +425,6 @@ When checking the status for EffectiveHorizontalPodAutoscaler, you may see this
 reason: Not all workload's cpu metric are predictable, if predict your workload failed, it will show above errors. 

 solution: 
+
 - Just waiting. the Prediction algorithm need more time, you can see `DSP` section to know more about this algorithm.
- EffectiveHorizontalPodAutoscaler have a protection mechanism when prediction failed, it will use the actual cpu utilization to do autoscaling.
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+- EffectiveHorizontalPodAutoscaler have a protection mechanism when prediction failed, it will use the actual cpu utilization to do autoscaling.