3d4cdf3203
- Alloy: bump memory limits from 64Mi/128Mi to 256Mi/768Mi — pods were OOMKilled at 128Mi, steady-state usage is ~400-450Mi per node - iDRAC Redfish Exporter: add explicit priority_class_name to resolve conflict between Kyverno priority injection and default priority: 0
112 lines
4 KiB
YAML
112 lines
4 KiB
YAML
alloy:
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configMap:
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content: |-
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// Write your Alloy config here:
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logging {
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level = "info"
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format = "logfmt"
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}
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loki.write "default" {
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endpoint {
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url = "http://loki.monitoring.svc.cluster.local:3100/loki/api/v1/push"
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}
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}
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// discovery.kubernetes allows you to find scrape targets from Kubernetes resources.
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// It watches cluster state and ensures targets are continually synced with what is currently running in your cluster.
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discovery.kubernetes "pod" {
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role = "pod"
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}
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// discovery.relabel rewrites the label set of the input targets by applying one or more relabeling rules.
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// If no rules are defined, then the input targets are exported as-is.
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discovery.relabel "pod_logs" {
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targets = discovery.kubernetes.pod.targets
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// Label creation - "namespace" field from "__meta_kubernetes_namespace"
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rule {
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source_labels = ["__meta_kubernetes_namespace"]
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action = "replace"
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target_label = "namespace"
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}
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// Label creation - "pod" field from "__meta_kubernetes_pod_name"
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rule {
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source_labels = ["__meta_kubernetes_pod_name"]
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action = "replace"
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target_label = "pod"
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}
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// Label creation - "container" field from "__meta_kubernetes_pod_container_name"
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rule {
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source_labels = ["__meta_kubernetes_pod_container_name"]
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action = "replace"
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target_label = "container"
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}
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// Label creation - "app" field from "__meta_kubernetes_pod_label_app_kubernetes_io_name"
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rule {
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source_labels = ["__meta_kubernetes_pod_label_app_kubernetes_io_name"]
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action = "replace"
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target_label = "app"
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}
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// Label creation - "job" field from "__meta_kubernetes_namespace" and "__meta_kubernetes_pod_container_name"
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// Concatenate values __meta_kubernetes_namespace/__meta_kubernetes_pod_container_name
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rule {
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source_labels = ["__meta_kubernetes_namespace", "__meta_kubernetes_pod_container_name"]
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action = "replace"
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target_label = "job"
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separator = "/"
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replacement = "$1"
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}
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// Label creation - "container" field from "__meta_kubernetes_pod_uid" and "__meta_kubernetes_pod_container_name"
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// Concatenate values __meta_kubernetes_pod_uid/__meta_kubernetes_pod_container_name.log
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rule {
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source_labels = ["__meta_kubernetes_pod_uid", "__meta_kubernetes_pod_container_name"]
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action = "replace"
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target_label = "__path__"
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separator = "/"
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replacement = "/var/log/pods/*$1/*.log"
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}
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// Label creation - "container_runtime" field from "__meta_kubernetes_pod_container_id"
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rule {
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source_labels = ["__meta_kubernetes_pod_container_id"]
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action = "replace"
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target_label = "container_runtime"
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regex = "^(\\S+):\\/\\/.+$"
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replacement = "$1"
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}
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}
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// loki.source.kubernetes tails logs from Kubernetes containers using the Kubernetes API.
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loki.source.kubernetes "pod_logs" {
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targets = discovery.relabel.pod_logs.output
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forward_to = [loki.process.pod_logs.receiver]
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}
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// loki.process receives log entries from other Loki components, applies one or more processing stages,
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// and forwards the results to the list of receivers in the component's arguments.
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loki.process "pod_logs" {
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stage.static_labels {
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values = {
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cluster = "default",
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}
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}
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forward_to = [loki.write.default.receiver]
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}
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# Resource limits for DaemonSet pods
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# Alloy tails logs from all containers on the node via K8s API and batches
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# them to Loki. Memory scales with number of active log streams (~30-50 per node).
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# 128Mi was OOMKilled; steady-state usage is ~400-450Mi per pod.
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resources:
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requests:
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cpu: 50m
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memory: 256Mi
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limits:
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cpu: 200m
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memory: 768Mi
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