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- tomevault-io/skills-registry
- 최근 소스 활동
- 2026년 4월 28일 22:53
- 감지된 SKILL.md 언어
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
SOC 직업 분류 기준
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/tomevault-io/skills-registry --skill deploying-postgres-k8s명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
| Use when this capability is needed.
> Use when this capability is needed.
Review architecture and API design for the vfs-s3 project. Use when the user mentions @architect, asks to review an issue's design, discuss module boundaries, API shape, or architectural decisions for vfs-s3. Also trigger when the user wants to create an ADR (Architecture Decision Record) or evaluate a technical approach for the project. Intended for dispatch from Codex automation or Claude routines; GitHub trigger phrase: @vfs-s3-bot please prepare design doc Use when this capability is needed.
| name | deploying-postgres-k8s |
| description | | Use when this capability is needed. |
Deploy production-ready PostgreSQL clusters using CloudNativePG operator (v1.28+) with automated failover.
# 1. Install CloudNativePG operator
kubectl apply --server-side -f \
https://raw.githubusercontent.com/cloudnative-pg/cloudnative-pg/release-1.28/releases/cnpg-1.28.0.yaml
# 2. Wait for operator
kubectl rollout status deployment -n cnpg-system cnpg-controller-manager
# 3. Deploy PostgreSQL cluster
kubectl apply -f - <<EOF
apiVersion: postgresql.cnpg.io/v1
kind: Cluster
metadata:
name: pg-cluster
spec:
instances: 3
storage:
size: 10Gi
EOF
# 4. Wait for cluster
kubectl wait cluster/pg-cluster --for=condition=Ready --timeout=300s
kubectl apply --server-side -f \
https://raw.githubusercontent.com/cloudnative-pg/cloudnative-pg/release-1.28/releases/cnpg-1.28.0.yaml
# Verify
kubectl rollout status deployment -n cnpg-system cnpg-controller-manager
kubectl get pods -n cnpg-system
helm repo add cnpg https://cloudnative-pg.github.io/charts
helm repo update
helm upgrade --install cnpg \
--namespace cnpg-system \
--create-namespace \
cnpg/cloudnative-pg
helm upgrade --install cnpg \
--namespace cnpg-system \
--create-namespace \
--set config.clusterWide=false \
cnpg/cloudnative-pg
apiVersion: postgresql.cnpg.io/v1
kind: Cluster
metadata:
name: pg-dev
spec:
instances: 1
imageName: ghcr.io/cloudnative-pg/postgresql:17.2
primaryUpdateStrategy: unsupervised
storage:
size: 5Gi
postgresql:
parameters:
max_connections: "100"
shared_buffers: "256MB"
apiVersion: postgresql.cnpg.io/v1
kind: Cluster
metadata:
name: pg-production
spec:
instances: 3
imageName: ghcr.io/cloudnative-pg/postgresql:17.2
primaryUpdateStrategy: unsupervised
storage:
storageClass: standard
size: 100Gi
resources:
requests:
memory: "2Gi"
cpu: "1"
limits:
memory: "4Gi"
cpu: "2"
postgresql:
parameters:
max_connections: "200"
shared_buffers: "1GB"
effective_cache_size: "3GB"
maintenance_work_mem: "256MB"
checkpoint_completion_target: "0.9"
wal_buffers: "16MB"
default_statistics_target: "100"
random_page_cost: "1.1"
effective_io_concurrency: "200"
affinity:
podAntiAffinityType: required
apiVersion: postgresql.cnpg.io/v1
kind: Cluster
metadata:
name: pg-cluster
spec:
instances: 3
storage:
size: 10Gi
bootstrap:
initdb:
database: learnflow
owner: app_user
secret:
name: app-user-secret
Create the secret first:
kubectl create secret generic app-user-secret \
--from-literal=username=app_user \
--from-literal=password=$(openssl rand -hex 16)
CloudNativePG automatically creates connection secrets:
| Secret | Contents |
|---|---|
pg-cluster-app | App credentials (recommended) |
pg-cluster-superuser | Superuser credentials |
# Get app credentials
kubectl get secret pg-cluster-app -o jsonpath='{.data.uri}' | base64 -d
# Get superuser credentials (admin tasks only)
kubectl get secret pg-cluster-superuser -o jsonpath='{.data.uri}' | base64 -d
env:
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: pg-cluster-app
key: uri
| Service | Port | Use |
|---|---|---|
pg-cluster-rw | 5432 | Read-Write (primary) |
pg-cluster-ro | 5432 | Read-Only (replicas) |
pg-cluster-r | 5432 | Any instance |
env:
- name: DATABASE_URL
value: "postgresql://app_user:password@pg-cluster-rw.default.svc.cluster.local:5432/learnflow"
# Using kubectl cnpg plugin (recommended)
kubectl cnpg psql pg-cluster -- -c "SELECT version();"
# Or directly
kubectl exec -it pg-cluster-1 -- psql -U postgres
kubectl exec -it pg-cluster-1 -- psql -U postgres <<EOF
CREATE DATABASE myapp;
CREATE USER myapp_user WITH ENCRYPTED PASSWORD 'secure_password';
GRANT ALL PRIVILEGES ON DATABASE myapp TO myapp_user;
\c myapp
GRANT ALL ON SCHEMA public TO myapp_user;
EOF
# From local machine
kubectl port-forward svc/pg-cluster-rw 5432:5432 &
DATABASE_URL="postgresql://postgres:password@localhost:5432/learnflow" alembic upgrade head
apiVersion: postgresql.cnpg.io/v1
kind: Cluster
metadata:
name: pg-cluster
spec:
instances: 3
storage:
size: 10Gi
backup:
barmanObjectStore:
destinationPath: "s3://my-bucket/pg-backups"
s3Credentials:
accessKeyId:
name: s3-creds
key: ACCESS_KEY_ID
secretAccessKey:
name: s3-creds
key: SECRET_ACCESS_KEY
wal:
compression: gzip
data:
compression: gzip
retentionPolicy: "30d"
apiVersion: postgresql.cnpg.io/v1
kind: ScheduledBackup
metadata:
name: pg-backup-daily
spec:
schedule: "0 0 * * *" # Daily at midnight
backupOwnerReference: cluster
cluster:
name: pg-cluster
kubectl get cluster pg-cluster
kubectl describe cluster pg-cluster
kubectl get pods -l cnpg.io/cluster=pg-cluster
kubectl logs pg-cluster-1 -f
kubectl logs -l cnpg.io/cluster=pg-cluster --all-containers
With enablePodMonitor: true, metrics available at:
cnpg_backends_total - Active connectionscnpg_pg_replication_lag_seconds - Replica lagcnpg_pg_database_size_bytes - Database sizekubectl describe cluster pg-cluster
kubectl get pods -l cnpg.io/cluster=pg-cluster
kubectl logs pg-cluster-1
# Test connectivity
kubectl run pg-client --rm -it --restart=Never \
--image=postgres:17 -- \
psql "postgresql://app_user:password@pg-cluster-rw:5432/learnflow" -c "SELECT 1;"
| Error | Cause | Fix |
|---|---|---|
| PVC pending | No storage class | Add storageClass to spec |
| Connection refused | Wrong service name | Use cluster-rw for writes |
| Auth failed | Wrong credentials | Check secret cluster-app |
| Replica lag high | Heavy writes | Scale up, increase resources |
# Delete cluster (keeps PVCs by default)
kubectl delete cluster pg-cluster
# Delete PVCs (data loss!)
kubectl delete pvc -l cnpg.io/cluster=pg-cluster
# Remove operator
kubectl delete -f \
https://raw.githubusercontent.com/cloudnative-pg/cloudnative-pg/release-1.28/releases/cnpg-1.28.0.yaml
Run: python scripts/verify.py
operating-k8s-local - Local Minikube cluster setupscaffolding-fastapi-dapr - FastAPI services with SQLModeldeploying-kafka-k8s - Kafka for event-driven architectureConverted and distributed by TomeVault — claim your Tome and manage your conversions.