January 2026
Intermediate to advanced
392 pages
9h 33m
French
book
Guide d'étude de l'administrateur Kubernetes certifié (CKA) (French Edition), 2nd Edition
by Benjamin Muschko
Content preview from Guide d'étude de l'administrateur Kubernetes certifié (CKA) (French Edition), 2nd Edition
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Chapitre 12. Évolutivité des charges de travail
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Il y a plusieurs raisons pour lesquelles il faut adapter une charge de travail, surtout pour garder des performances optimales quand la demande augmente. Par exemple, une application peut voir son nombre d'utilisateurs exploser quand elle devient populaire, ou elle peut devoir traiter de plus en plus de données au fil du temps.
Dans Kubernetes, on peut faire ça de deux façons : en augmentant les ressources allouées à chaque pod (scaling vertical) ou en ajustant le nombre de pods qui tournent en même temps (scaling horizontal). Le scaling horizontal est super efficace pour gérer les charges de travail qui changent, car il permet à l'appli de rester réactive et résiliente quand la demande varie, comme quand il y a des contraintes sur le CPU, la mémoire et les E/S.
Dans ce chapitre, tu vas apprendre à faire évoluer manuellement le nombre de répliques en réponse à une augmentation de la charge de l'application. En plus, on va explorer l'API primitive HorizontalPodAutoscaler (HPA), qui te permet de faire évoluer automatiquement l'ensemble géré de pods en fonction de seuils de ressources tels que le CPU et la mémoire. On ne va pas aborder le dimensionnement vertical représenté par l'API primitive VerticalPodAutoscaler (VPA), car l'examen ne le couvre pas.
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