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Merge pull request #7 from patterncatalyst/feat/nodeport-tunnels-full-sweep
feat: remove all kubectl port-forward; NodePort + SSH tunnels everywhere
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‎_docs/06-progressive-delivery-mtls.md‎

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@@ -37,9 +37,9 @@ A couple of honest simplifications worth naming. v1 and v2 here run the *same im
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with an environment toggle and a different `version` label, rather than two images from
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two commits — that keeps the demo focused on the traffic-management mechanism rather
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than an image pipeline, and the Istio mechanics are identical either way. And traffic
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enters through the ingress gateway (port-forwarded, under the rootless-podman setup
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from §11) rather than from a meshed client, so no client needs to join the mesh for the
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canary to work.
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enters through the ingress gateway (reached over an SSH tunnel to its NodePort, under
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the rootless-podman setup from §11) rather than from a meshed client, so no client needs
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to join the mesh for the canary to work.
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This was verified end to end: with the split set to 90/10, a run of 100 requests landed
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95 on v1 and 5 on v2; shifted to 50/50, it landed 46 on v1 and 54 on v2 — both within

‎examples/lgtm-datamesh/README.md‎

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@@ -215,6 +215,8 @@ load or idle timeouts.
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| Tempo | `http://localhost:3200` | Trace query API; also accessible via Grafana Explore |
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| Kiali | `http://localhost:20001/kiali` | |
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| OpenMetadata | `http://localhost:8585` | |
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| Apicurio | `http://localhost:8084` | Schema registry UI + API (`/apis/registry/v3`) |
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| Kafka UI | `http://localhost:8089` | Browse Kafka topics, messages, consumer groups, schemas |
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```bash
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./scripts/tunnel-services.sh --status # check which tunnels are alive

‎examples/lgtm-datamesh/charts/capstone/charts/apicurio/templates/service.yaml‎

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@@ -7,10 +7,13 @@ metadata:
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app.kubernetes.io/name: apicurio
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app.kubernetes.io/part-of: capstone
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spec:
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type: ClusterIP
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type: {{ .Values.service.type | default "ClusterIP" }}
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selector:
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app.kubernetes.io/name: apicurio
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ports:
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- name: http
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port: {{ .Values.service.port }}
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targetPort: {{ .Values.service.targetPort }}
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{{- if and (eq (.Values.service.type | default "ClusterIP") "NodePort") .Values.service.nodePort }}
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nodePort: {{ .Values.service.nodePort }}
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{{- end }}

‎examples/lgtm-datamesh/charts/capstone/charts/apicurio/values.yaml‎

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tag: "3.2.4"
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pullPolicy: IfNotPresent
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# Exposed as NodePort so it can be reached over the stable SSH tunnel
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# (scripts/tunnel-services.sh), same as the other persistent UIs — not a
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# kubectl port-forward, which drops when the system quiesces. nodePort 30084 /
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# local 8084 is the canonical Apicurio allocation from the lgtm-minikube-stack
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# skill (local 8084 avoids the ephemeral demo forwards that transiently use 8080).
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service:
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type: NodePort
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port: 8080
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targetPort: 8080
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nodePort: 30084
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resources:
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requests:

‎examples/lgtm-datamesh/charts/capstone/charts/inventory-service/templates/service.yaml‎

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app.kubernetes.io/name: inventory-service
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app.kubernetes.io/part-of: capstone
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spec:
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type: ClusterIP
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type: {{ .Values.service.type | default "ClusterIP" }}
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selector:
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app.kubernetes.io/name: inventory-service
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ports:
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- name: http
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port: {{ .Values.service.port }}
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targetPort: {{ .Values.service.targetPort }}
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{{- if and (eq (.Values.service.type | default "ClusterIP") "NodePort") .Values.service.nodePort }}
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nodePort: {{ .Values.service.nodePort }}
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{{- end }}
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- name: grpc
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port: {{ .Values.service.grpcPort }}
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targetPort: {{ .Values.service.grpcPort }}

‎examples/lgtm-datamesh/charts/capstone/charts/inventory-service/values.yaml‎

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tag: v1
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pullPolicy: Always
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# http exposed as NodePort so demos reach it over the stable SSH tunnel
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# (local 8087) instead of kubectl port-forward; gRPC stays in-cluster only.
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# See demos/lib/tunnels.sh for the allocation map.
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service:
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type: NodePort
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port: 80
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targetPort: 8080
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nodePort: 30087
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# gRPC (r23): InventoryService.CheckStock
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grpcPort: 50051
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‎examples/lgtm-datamesh/charts/capstone/charts/kafka-ui/Chart.yaml‎

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apiVersion: v2
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name: kafka-ui
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description: Kafka UI (kafbat) for the §17 capstone — a data-mesh infrastructure console to browse Kafka topics, messages, consumer groups, and (via Apicurio ccompat) schemas.
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type: application
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version: 0.1.0
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appVersion: "latest"

‎examples/lgtm-datamesh/charts/capstone/charts/kafka-ui/templates/deployment.yaml‎

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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: kafka-ui
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namespace: {{ .Release.Namespace }}
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labels:
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app.kubernetes.io/name: kafka-ui
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app.kubernetes.io/part-of: capstone
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app.kubernetes.io/component: kafka-console
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spec:
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replicas: {{ .Values.replicas }}
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selector:
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matchLabels:
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app.kubernetes.io/name: kafka-ui
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template:
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metadata:
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labels:
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app.kubernetes.io/name: kafka-ui
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app.kubernetes.io/part-of: capstone
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annotations:
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# Opt out of the mesh: kafka-ui talks to the (non-meshed) Kafka bootstrap
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# and Apicurio; a sidecar would only complicate that. Matches the other
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# operator-managed infra (CAP-024 scope note in setup-istio.sh).
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sidecar.istio.io/inject: "false"
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spec:
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containers:
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- name: kafka-ui
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image: "{{ .Values.image.repository }}:{{ .Values.image.tag }}"
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imagePullPolicy: {{ .Values.image.pullPolicy }}
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ports:
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- name: http
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containerPort: {{ .Values.service.targetPort }}
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env:
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- name: KAFKA_CLUSTERS_0_NAME
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value: {{ .Values.kafka.clusterName | quote }}
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- name: KAFKA_CLUSTERS_0_BOOTSTRAPSERVERS
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value: {{ .Values.kafka.bootstrapServers | quote }}
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- name: KAFKA_CLUSTERS_0_SCHEMAREGISTRY
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value: {{ .Values.kafka.schemaRegistry | quote }}
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- name: DYNAMIC_CONFIG_ENABLED
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value: "true"
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- name: SERVER_PORT
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value: {{ .Values.service.targetPort | quote }}
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resources:
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requests:
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cpu: {{ .Values.resources.requests.cpu }}
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memory: {{ .Values.resources.requests.memory }}
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limits:
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memory: {{ .Values.resources.limits.memory }}
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# TCP probes avoid guessing the actuator health path across kafka-ui
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# versions; startup budget is generous for the Spring Boot cold start.
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startupProbe:
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tcpSocket:
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port: http
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periodSeconds: 5
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failureThreshold: 40
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livenessProbe:
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tcpSocket:
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port: http
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periodSeconds: 10
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readinessProbe:
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tcpSocket:
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port: http
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periodSeconds: 5

‎examples/lgtm-datamesh/charts/capstone/charts/kafka-ui/templates/service.yaml‎

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apiVersion: v1
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kind: Service
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metadata:
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name: kafka-ui
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namespace: {{ .Release.Namespace }}
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labels:
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app.kubernetes.io/name: kafka-ui
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app.kubernetes.io/part-of: capstone
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spec:
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type: {{ .Values.service.type | default "ClusterIP" }}
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selector:
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app.kubernetes.io/name: kafka-ui
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ports:
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- name: http
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port: {{ .Values.service.port }}
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targetPort: {{ .Values.service.targetPort }}
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{{- if and (eq (.Values.service.type | default "ClusterIP") "NodePort") .Values.service.nodePort }}
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nodePort: {{ .Values.service.nodePort }}
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{{- end }}

‎examples/lgtm-datamesh/charts/capstone/charts/kafka-ui/values.yaml‎

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# Kafka UI (kafbat) — a data-mesh infrastructure console for browsing Kafka
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# topics, messages, consumer groups, and schemas. Exposed as NodePort so it is
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# reached over the stable SSH tunnel (local 8089) instead of kubectl port-forward.
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# See demos/lib/tunnels.sh for the allocation map (nodePort 30084 apicurio,
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# 30089 kafka-ui, …).
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replicas: 1
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image:
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repository: ghcr.io/kafbat/kafka-ui
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tag: "latest" # pin to a released tag (e.g. v1.x) for reproducible builds
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pullPolicy: IfNotPresent
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kafka:
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clusterName: capstone-kafka
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bootstrapServers: capstone-kafka-kafka-bootstrap:9092
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# Apicurio's Confluent-compatible endpoint, so the UI renders Avro schemas too.
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schemaRegistry: http://apicurio:8080/apis/ccompat/v7
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service:
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type: NodePort
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port: 8080
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targetPort: 8080
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nodePort: 30089
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resources:
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requests:
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cpu: 100m
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memory: 512Mi
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limits:
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memory: 1Gi

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