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149
manifests/infrastructure/elasticsearch/cluster.yaml
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149
manifests/infrastructure/elasticsearch/cluster.yaml
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---
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apiVersion: elasticsearch.k8s.elastic.co/v1
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kind: Elasticsearch
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metadata:
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name: elasticsearch
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namespace: elasticsearch-system
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labels:
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app: elasticsearch
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backup.longhorn.io/enable: "true" # Enable Longhorn S3 backup
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spec:
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version: 7.17.27 # Latest 7.x version compatible with Mastodon
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# Single-node cluster (can be scaled later)
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nodeSets:
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- name: default
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count: 1
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config:
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# Node configuration
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node.store.allow_mmap: false # Required for containers
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# Performance optimizations for 2-node cluster (similar to PostgreSQL)
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cluster.routing.allocation.disk.threshold_enabled: true
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cluster.routing.allocation.disk.watermark.low: "85%"
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cluster.routing.allocation.disk.watermark.high: "90%"
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cluster.routing.allocation.disk.watermark.flood_stage: "95%"
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# Memory and performance settings
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indices.memory.index_buffer_size: "20%"
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indices.memory.min_index_buffer_size: "48mb"
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indices.fielddata.cache.size: "30%"
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indices.queries.cache.size: "20%"
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# ECK manages discovery configuration automatically for single-node clusters
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# Security settings - ECK manages TLS automatically
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xpack.security.enabled: true
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# Pod template for Elasticsearch nodes
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podTemplate:
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metadata:
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labels:
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app: elasticsearch
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spec:
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# Node selection and affinity - Prefer n2 but allow n1 if needed
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nodeSelector: {}
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tolerations: []
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affinity:
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nodeAffinity:
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# PREFERRED: Prefer n2 for optimal distribution, but allow n1 if needed
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preferredDuringSchedulingIgnoredDuringExecution:
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- weight: 100
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preference:
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matchExpressions:
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- key: kubernetes.io/hostname
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operator: In
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values: ["n2"]
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# Resource configuration - Optimized for resource-constrained environment
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containers:
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- name: elasticsearch
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resources:
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requests:
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cpu: 500m # 0.5 CPU core
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memory: 2Gi # 2GB RAM (increased from 1Gi)
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limits:
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cpu: 1000m # Max 1 CPU core
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memory: 4Gi # Max 4GB RAM (increased from 2Gi)
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env:
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# JVM heap size - should be 50% of container memory limit
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- name: ES_JAVA_OPTS
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value: "-Xms2g -Xmx2g"
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# Security context - ECK manages this automatically
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securityContext: {}
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# Volume claim templates
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volumeClaimTemplates:
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- metadata:
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name: elasticsearch-data
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labels:
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backup.longhorn.io/enable: "true" # Enable S3 backup
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spec:
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accessModes:
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- ReadWriteOnce
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resources:
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requests:
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storage: 50Gi
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storageClassName: longhorn-retain
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# HTTP configuration
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http:
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service:
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spec:
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type: ClusterIP
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selector:
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elasticsearch.k8s.elastic.co/cluster-name: "elasticsearch"
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tls:
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selfSignedCertificate:
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disabled: true # Disable TLS for internal Kubernetes communication
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# Transport configuration
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transport:
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service:
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spec:
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type: ClusterIP
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---
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# Kibana deployment for optional web UI management
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apiVersion: kibana.k8s.elastic.co/v1
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kind: Kibana
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metadata:
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name: kibana
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namespace: elasticsearch-system
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spec:
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version: 7.17.27
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count: 1
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elasticsearchRef:
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name: elasticsearch
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config:
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server.publicBaseUrl: "https://kibana.keyboardvagabond.com"
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podTemplate:
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metadata:
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labels:
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app: kibana
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spec:
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containers:
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- name: kibana
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resources:
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requests:
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cpu: 50m # Reduced from 200m - actual usage ~26m
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memory: 384Mi # Reduced from 1Gi - actual usage ~274MB
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limits:
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cpu: 400m # Reduced from 1000m but adequate for log analysis
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memory: 768Mi # Reduced from 2Gi but adequate for dashboards
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securityContext: {}
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http:
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service:
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metadata:
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annotations:
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tailscale.com/hostname: kibana
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spec:
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type: LoadBalancer
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loadBalancerClass: tailscale
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tls:
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selfSignedCertificate:
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disabled: false
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