From 6a7cdf42dcbab3fe9cacb5b98cce79d0e034d57d Mon Sep 17 00:00:00 2001
From: Everton Seiei Arakaki <30481051+EvertonSA@users.noreply.github.com>
Date: Wed, 19 Apr 2023 00:23:01 +0200
Subject: docs: detail impressions

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 ADOPTERS.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/ADOPTERS.md b/ADOPTERS.md
index 63473e0..4ef7aec 100644
--- a/ADOPTERS.md
+++ b/ADOPTERS.md
@@ -4,4 +4,4 @@ This is a list of adopters of Robusta KRR operator:
 
 Everton Arakaki - WAES Platform Consultant for Semiconductor Industry
 
-> I used Robusta KRR in my production clusters, and it took me less than 5 minutes to get very "robust" recommendations. Our applications and platform tooling were discovered automatically; our kubecontext was discovered automatically; and our kube-prometheus-stack was discovered automatically. It's just a matter of having Python and you are ready to use KRR. I'm eager to implement KRR recommendations in production, and try once again. I will come back here with more feedback.
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+> I used Robusta KRR in my production clusters, and it took me less than 5 minutes to get very well detailed cpu/memory recommendations. Our applications and platform tooling were discovered automatically; our kubecontext was discovered automatically; and our kube-prometheus-stack was discovered automatically. It's just a matter of having Python and you are ready to use KRR. I'm eager to implement KRR recommendations in production, and try once again. I will come back here with more feedback.
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