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# Chaos Monkey tutorial | ||
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<img src="https://media3.giphy.com/media/v1.Y2lkPTc5MGI3NjExejRzeWtkNGRqNWt1a3o1Ymd6cnU4d3BoZnVwNzg5ZWo1ZTh3aG5qaiZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9Zw/d31xn6cQIWcOO45G/giphy.gif" alt="Professor%20Chaos"> | ||
# [Chaos Monkey tutorial](https://www.sfeir.dev/back/introduisez-du-chaos-dans-votre-application-spring-boot/) | ||
<div align="center"> | ||
<img src="https://media.tenor.com/cK8cTETiPwAAAAAC/laughing-butters-stotch.gif)" alt="ProfessorChaos"> | ||
</div> | ||
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## Pourquoi utiliser le chaos engineering ? | ||
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Les systèmes modernes sont **distribués, complexes et dynamiques** (microservices, cloud, conteneurs…). Les pannes sont inévitables : | ||
✅ **Tester la robustesse** face aux pannes de réseau, surcharges ou erreurs applicatives. | ||
✅ **Identifier les points faibles** avant qu’un incident ne survienne en production. | ||
✅ **Améliorer la résilience** en optimisant la tolérance aux erreurs et en renforçant l’architecture. | ||
✅ **Améliorer la résilience** en optimisant la tolérance aux erreurs et en renforçant l’architecture. |