自架Server

發布：2026-09-05

gitea Git Server

docker run -d –name gitea -p 3000:3000 -p 222:22 -v C:Usersshilvain_hsiehDesktopshilvainDockergiteadata:/data -e GITEA__security__SECRET_KEY=ShilvainSecretKey123! gitea/gitea:latest

設定資料庫的時候順便設定管理員帳戶

查看目前repos docker exec -u git -it gitea gitea repo list –config /data/gitea/conf/app.ini

列出某user docker exec -u git -it gitea gitea repo list –user admin –config /data/gitea/conf/app.ini

NuGet Server

docker run -d –name baget -p 5555:80 -e ApiKey=MySecretKey loicsharma/baget

———-docker-compose.yml（只啟 BaGet）Start!———- version: ‘3.8’

services: baget: image: loicsharma/baget:latest container_name: baget ports: - ‘5555:80’ environment: # ===== API Key（NuGet push 用）===== ApiKey: MySecretKey

  # ===== 套件儲存 =====
  Storage__Type: FileSystem
  Storage__Path: /var/baget/packages

  # ===== 使用既有 MSSQL =====
  Database__Type: SqlServer
  Database__ConnectionString: >
    Server=192.168.1.10,1433;
    Database=BaGet;
    User Id=baget_user;
    Password=StrongPassword!;
    TrustServerCertificate=True;

volumes:
  - ./baget-data:/var/baget
restart: always

———-End!———-

1️⃣ 註冊 NuGet Source（只做一次） dotnet nuget add source http://localhost:5555/v3/index.json –name BaGetMSSQL –username any –password MySecretKey –store-password-in-clear-text

2️⃣ 建立 NuGet 套件 dotnet pack -c Release

產生： bin/Release/Your.Package.1.0.0.nupkg

3️⃣ Push 套件（關鍵） dotnet nuget push bin/Release/*.nupkg –source BaGetMSSQL –api-key MySecretKey

成功訊息： Your.Package.1.0.0.nupkg was pushed successfully.

🎉 套件已經存在你的 MSSQL + 檔案系統中

驗證下載 dotnet add package Your.Package –source BaGetMSSQL 或 NuGet.config：

Jenkins

docker run -d –name jenkins -p 8080:8080 -p 50000:50000 -v jenkins_home:/var/jenkins_home jenkins/jenkins:lts

8080 → Web UI 50000 → Agent 通訊 jenkins_home → 所有設定、Job、Plugin 都在這 lts → 長期支援版（穩定）

OpenTelemetry

———-Docker Compose Content(docker-compose.yml) Start!———-

version: ‘3.9’

services: # ====================== # Grafana UI # ====================== grafana: image: grafana/grafana:10.3.1 container_name: grafana ports: - ‘3000:3000’ environment: - GF_SECURITY_ADMIN_USER=admin - GF_SECURITY_ADMIN_PASSWORD=admin volumes: - grafana-data:/var/lib/grafana depends_on: - prometheus - tempo - loki

# ====================== # Prometheus (Metrics) # ====================== prometheus: image: prom/prometheus:v2.49.1 container_name: prometheus ports: - ‘9090:9090’ volumes: - ./prometheus.yml:/etc/prometheus/prometheus.yml command: - ‘–config.file=/etc/prometheus/prometheus.yml’

# ====================== # Tempo (Traces) # ====================== tempo: image: grafana/tempo:2.4.1 user: ‘0:0’ container_name: tempo ports: - ‘3200:3200’ # Tempo UI / Query #- ‘4317:4317’ # OTLP gRPC #- ‘4318:4318’ # OTLP HTTP volumes: - ./tempo.yml:/etc/tempo.yml - tempo-data:/tmp/tempo command: [‘-config.file=/etc/tempo.yml’]

# ====================== # Loki (Logs) # ====================== loki: image: grafana/loki:2.9.4 container_name: loki ports: - ‘3100:3100’ volumes: - ./loki.yml:/etc/loki/loki.yml command: [‘-config.file=/etc/loki/loki.yml’]

# ====================== # OpenTelemetry Collector # ====================== otel-collector: image: otel/opentelemetry-collector-contrib:0.95.0 container_name: otel-collector ports: - ‘4317:4317’ # OTLP gRPC - ‘4318:4318’ # OTLP HTTP - ‘8889:8889’ volumes: - ./otel-collector-config.yml:/etc/otelcol/config.yml command: [’–config=/etc/otelcol/config.yml’] depends_on: - prometheus - tempo - loki

volumes: grafana-data: tempo-data:

———-Docker Compose Content End!———- ———-OpenTelemetry Collector Content(otel-collector-config.yml) Start!———-

receivers: otlp: protocols: grpc: http:

processors: batch: memory_limiter: # « 加在這裡 limit_mib: 512 # 最大使用 512 MB spike_limit_mib: 256 # 突發量允許再增加 256 MB check_interval: 5s # 每 5 秒檢查一次記憶體

exporters: # Metrics → Prometheus prometheus: endpoint: ‘0.0.0.0:8889’

# Traces → Tempo otlp/tempo: endpoint: tempo:4317 tls: insecure: true

# Logs → Loki loki: endpoint: http://loki:3100/loki/api/v1/push

service: pipelines: metrics: receivers: [otlp] processors: [memory_limiter, batch] exporters: [prometheus]

traces:
  receivers: [otlp]
  processors: [memory_limiter, batch]
  exporters: [otlp/tempo]

logs:
  receivers: [otlp]
  processors: [memory_limiter, batch]
  exporters: [loki]

———-OpenTelemetry Collector Content End!———- ———-Prometheus Content(prometheus.yml) Start!———-

global: scrape_interval: 15s

scrape_configs:

  • job_name: ‘otel-collector’ static_configs:
    • targets: [‘otel-collector:8889’]

———-Prometheus Content End!———- ———-Tempo Content(tempo.yml) Start!———-

server: http_listen_port: 3200

distributor: receivers: otlp: protocols: grpc: http:

ingester: lifecycler: ring: kvstore: store: inmemory replication_factor: 1

compactor: compaction: block_retention: 24h

storage: trace: backend: local local: path: /tmp/tempo wal: path: /tmp/tempo/wal

———-Tempo Content End!———- ———-Loki Content(loki.yml) Start!———-

auth_enabled: false

server: http_listen_port: 3100

common: path_prefix: /tmp/loki replication_factor: 1 storage: filesystem: chunks_directory: /tmp/loki/chunks rules_directory: /tmp/loki/rules ring: kvstore: store: inmemory

schema_config: configs: - from: 2024-01-01 store: boltdb-shipper object_store: filesystem schema: v13 index: prefix: index_ period: 24h

———-Loki Content End!———-

標籤： docker, gitea, jenkins