Trouver des valeurs optimales pour limiter les ressources Kubernetes n'est pas une tâche facile, car il faut trouver un juste milieu entre des contraintes trop serrées et pas assez.
Dans cet article, qui fait suite à la série sur la gestion des ressources dans Kubernetes , vous apprendrez à choisir les bonnes limites de ressources Kubernetes : de la découverte de conteneurs sans aucune restriction à la détermination des paramètres optimaux que vous devez définir dans votre cluster.
Prometheus est l'une des solutions les plus populaires pour surveiller les clusters Kubernetes. Par conséquent, chaque étape de ce didacticiel contient des exemples de requêtes PromQL .
Découverte de conteneurs sans limitation de ressources
La première étape dans le choix des limites correctes consiste à détecter les conteneurs sans aucune limite.
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CPU Limit namespace
sum by (namespace)(count by (namespace,pod,container)(kube_pod_container_info{container!=""}) unless sum by (namespace,pod,container)(kube_pod_container_resource_limits{resource="cpu"}))
Memory Limit namespace
sum by (namespace)(count by (namespace,pod,container)(kube_pod_container_info{container!=""}) unless sum by (namespace,pod,container)(kube_pod_container_resource_limits{resource="memory"}))
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-10 CPU Limits, CPU
topk(10,sum by (namespace,pod,container)(rate(container_cpu_usage_seconds_total{container!=""}[5m])) unless sum by (namespace,pod,container)(kube_pod_container_resource_limits{resource="cpu"}))
-10 Memory Limits,
topk(10,sum by (namespace,pod,container)(container_memory_usage_bytes{container!=""}) unless sum by (namespace,pod,container)(kube_pod_container_resource_limits{resource="memory"}))
CPU Limits
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(sum by (namespace,pod,container)(rate(container_cpu_usage_seconds_total{container!=""}[5m])) / sum by (namespace,pod,container)(kube_pod_container_resource_limits{resource="cpu"})) > 0.8
Memory Limits
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(sum by (namespace,pod,container)(container_memory_usage_bytes{container!=""}) / sum by (namespace,pod,container)(kube_pod_container_resource_limits{resource="memory"})) > 0.8
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CPU Limit :
max by (namespace,owner_name,container)((rate(container_cpu_usage_seconds_total{container!="POD",container!=""}[5m])) * on(namespace,pod) group_left(owner_name) avg by (namespace,pod,owner_name)(kube_pod_owner{owner_kind=~"DaemonSet|StatefulSet|Deployment"}))
Memory Limit :
max by (namespace,owner_name,container)((container_memory_usage_bytes{container!="POD",container!=""}) * on(namespace,pod) group_left(owner_name) avg by (namespace,pod,owner_name)(kube_pod_owner{owner_kind=~"DaemonSet|StatefulSet|Deployment"}))
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CPU Limit :
quantile by (namespace,owner_name,container)(0.99,(rate(container_cpu_usage_seconds_total{container!="POD",container!=""}[5m])) * on(namespace,pod) group_left(owner_name) avg by (namespace,pod,owner_name)(kube_pod_owner{owner_kind=~"DaemonSet|StatefulSet|Deployment"}))
Memory Limit :
quantile by (namespace,owner_name,container)(0.99,(container_memory_usage_bytes{container!="POD",container!=""}) * on(namespace,pod) group_left(owner_name) avg by (namespace,pod,owner_name)(kube_pod_owner{owner_kind=~"DaemonSet|StatefulSet|Deployment"}))
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100 * sum(kube_pod_container_resource_limits{container!="",resource="memory"} ) / sum(kube_node_status_capacity_memory_bytes)
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100 * sum(kube_pod_container_resource_limits{container!="",resource="cpu"} ) / sum(kube_node_status_capacity_cpu_cores)
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sum by (node)(kube_pod_container_resource_limits{container!=””,resource=”memory”} ) / sum by (node)(kube_node_status_capacity_memory_bytes)
:
sum by (node)(kube_pod_container_resource_limits{container!=””,resource=”cpu”} ) / sum by (node)(kube_node_status_capacity_cpu_cores)
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