69 lines
2.2 KiB
Django/Jinja
69 lines
2.2 KiB
Django/Jinja
---
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# https://raw.githubusercontent.com/kubernetes/kubernetes/v1.10.2/cluster/addons/fluentd-elasticsearch/fluentd-es-ds.yaml
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apiVersion: apps/v1
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kind: DaemonSet
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metadata:
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name: "fluentd-es-{{ fluentd_version }}"
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namespace: "kube-system"
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labels:
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k8s-app: fluentd-es
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version: "{{ fluentd_version }}"
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kubernetes.io/cluster-service: "true"
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addonmanager.kubernetes.io/mode: Reconcile
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spec:
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selector:
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matchLabels:
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k8s-app: fluentd-es
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version: "{{ fluentd_version }}"
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template:
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metadata:
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labels:
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k8s-app: fluentd-es
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kubernetes.io/cluster-service: "true"
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version: "{{ fluentd_version }}"
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# This annotation ensures that fluentd does not get evicted if the node
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# supports critical pod annotation based priority scheme.
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# Note that this does not guarantee admission on the nodes (#40573).
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annotations:
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scheduler.alpha.kubernetes.io/critical-pod: ''
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spec:
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priorityClassName: system-node-critical
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serviceAccountName: efk
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# When having win nodes in cluster without this patch, this pod cloud try to be created in windows
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nodeSelector:
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beta.kubernetes.io/os: linux
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containers:
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- name: fluentd-es
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image: "{{ fluentd_image_repo }}:{{ fluentd_image_tag }}"
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env:
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- name: FLUENTD_ARGS
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value: "--no-supervisor -q"
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resources:
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limits:
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{% if fluentd_cpu_limit is defined and fluentd_cpu_limit != "0m" %}
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cpu: {{ fluentd_cpu_limit }}
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{% endif %}
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memory: {{ fluentd_mem_limit }}
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requests:
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cpu: {{ fluentd_cpu_requests }}
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memory: {{ fluentd_mem_requests }}
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volumeMounts:
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- name: varlog
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mountPath: /var/log
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- name: varlibdockercontainers
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mountPath: "{{ docker_daemon_graph }}/containers"
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readOnly: true
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- name: config-volume
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mountPath: "{{ fluentd_config_dir }}"
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terminationGracePeriodSeconds: 30
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volumes:
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- name: varlog
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hostPath:
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path: /var/log
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- name: varlibdockercontainers
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hostPath:
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path: {{ docker_daemon_graph }}/containers
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- name: config-volume
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configMap:
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name: fluentd-config
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