kubespray/roles/kubernetes-apps/efk/kibana/templates/kibana-deployment.yml.j2

51 lines
1.5 KiB
Django/Jinja

---
# https://raw.githubusercontent.com/kubernetes/kubernetes/v1.5.2/cluster/addons/fluentd-kibana/kibana-controller.yaml
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: kibana-logging
namespace: "{{ system_namespace }}"
labels:
k8s-app: kibana-logging
kubernetes.io/cluster-service: "true"
spec:
replicas: 1
selector:
matchLabels:
k8s-app: kibana-logging
template:
metadata:
labels:
k8s-app: kibana-logging
spec:
containers:
- name: kibana-logging
image: "{{ kibana_image_repo }}:{{ kibana_image_tag }}"
resources:
# keep request = limit to keep this container in guaranteed class
limits:
cpu: {{ kibana_cpu_limit }}
{% if kibana_mem_limit is defined and kibana_mem_limit != "0M" %}
mem: {{ kibana_mem_limit }}
{% endif %}
requests:
cpu: {{ kibana_cpu_requests }}
{% if kibana_mem_requests is defined and kibana_mem_requests != "0M" %}
mem: {{ kibana_mem_requests }}
{% endif %}
env:
- name: "ELASTICSEARCH_URL"
value: "http://elasticsearch-logging:{{ elasticsearch_service_port }}"
{% if kibana_base_url is defined and kibana_base_url != "" %}
- name: "KIBANA_BASE_URL"
value: "{{ kibana_base_url }}"
{% endif %}
ports:
- containerPort: 5601
name: ui
protocol: TCP
{% if rbac_enabled %}
serviceAccountName: efk
{% endif %}