diff --git a/content/blogs/2024-10-22-credit-agricole-case-study.md b/content/blogs/2024-10-22-credit-agricole-case-study.md
index 5191e3d38f..737f989d4a 100644
--- a/content/blogs/2024-10-22-credit-agricole-case-study.md
+++ b/content/blogs/2024-10-22-credit-agricole-case-study.md
@@ -1,12 +1,12 @@
 ---
 title: "Scaling Data Operations at Crédit Agricole with Kestra"
-description: Julien Legrand from Crédit Agricole shares how the bank’s Data Team use Kestra to optimize infrastructure management, enhance security, and scale data pipelines for mission-critical operations across 50+ MongoDB clusters.
+description: Julien Legrand from Crédit Agricole shares how the bank’s Data Team use Kestra to optimize infrastructure management, enhance security, and scale data pipelines for mission-critical operations across 100+ clusters serving nosql, mlops, streaming & big data usages.
 date:  2024-10-22T17:00:00
 category: Solutions
 author:
   name: Julien Legrand
   image: jlegrand
-  role: Product Owner Data
+  role: Data & AI Product Owner
 image: /blogs/2024-10-22-credit-agricole-case-study.jpg
 ---
 
@@ -14,10 +14,10 @@ CAGIP is the IT production entity of Crédit Agricole Group, a leading French ba
 
 ## The challenges we faced in scaling data pipelines.
 
-For a long time, we used Ansible & Jenkins to manage all the tasks that must be done on every of our deployments. Lately, we faced a real scale up in the number of clusters and services we manage. To keep up all the requirements related to hosting critical services in a banking environment we have to:
-⁃ parallelize more (operating on +50 mongoDB clusters)
-⁃ optimize the resources consumed (using containers instead of virtual machines)
-⁃ and enhance the security (activating key rotation at scale) 
+For a long time, we used Ansible & Jenkins to manage all the tasks that must be done on every of our deployments. Lately, we faced a real scale up in the number of clusters and services we manage. To keep up all the requirements related to hosting critical services in a banking environment we have to:  
+⁃ parallelize more (operating on +50 mongoDB clusters)  
+⁃ optimize the resources consumed (using containers instead of virtual machines)  
+⁃ and enhance the security (activating key rotation at scale)   
 
 ## Experimenting with Kestra
 
@@ -41,7 +41,6 @@ We see many obvious use cases:
 
 But I’m sure that this will be just a start and we’ll soon cover more complex processes like certificates management that we want to deal with an event driven approach.
 
-As we continue to expand Kestra’s role across our operations, we’re excited to explore even more use cases in the future. If this resonates with your challenges, consider giving Kestra a star on GitHub and becoming a part of the growing community. You can also join the conversation and share your feedback directly on Slack or by opening a GitHub issue.
 
 As we continue to expand Kestra’s role across our operations, we’re excited to explore even more use cases in the future. If this resonates with your challenges, consider giving Kestra [a GitHub star](https://github.com/kestra-io/kestra) and join [the community](https://kestra.io/slack).