feat: add more
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Sun-ZhenXing
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src/kibana/README.md
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# Kibana
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[Kibana](https://www.elastic.co/kibana) is a free and open user interface that lets you visualize your Elasticsearch data and navigate the Elastic Stack.
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## Features
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- Data Visualization: Create beautiful visualizations and dashboards
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- Search and Filter: Powerful search capabilities
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- Machine Learning: Detect anomalies and patterns
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- Alerting: Set up alerts based on your data
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- Security: User authentication and authorization
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## Quick Start
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Start Kibana (requires Elasticsearch):
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```bash
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docker compose up -d
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```
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## Configuration
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### Environment Variables
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- `KIBANA_VERSION`: Kibana version (default: `8.16.1`)
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- `KIBANA_PORT_OVERRIDE`: HTTP port (default: `5601`)
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- `ELASTICSEARCH_HOSTS`: Elasticsearch hosts (default: `http://elasticsearch:9200`)
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- `ELASTICSEARCH_USERNAME`: Elasticsearch username
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- `ELASTICSEARCH_PASSWORD`: Elasticsearch password
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- `KIBANA_SECURITY_ENABLED`: Enable security (default: `false`)
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- `KIBANA_ENCRYPTION_KEY`: Encryption key for saved objects
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- `KIBANA_LOG_LEVEL`: Log level (default: `info`)
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## Access
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- Web UI: <http://localhost:5601>
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## Prerequisites
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Kibana requires Elasticsearch to be running. Make sure Elasticsearch is accessible at the configured `ELASTICSEARCH_HOSTS`.
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## Custom Configuration
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Uncomment the configuration volume in `docker-compose.yaml` and create `kibana.yml`:
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```yaml
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server.name: kibana
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server.host: "0.0.0.0"
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elasticsearch.hosts: ["http://elasticsearch:9200"]
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monitoring.ui.container.elasticsearch.enabled: true
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```
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## Health Check
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Check Kibana status:
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```bash
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curl http://localhost:5601/api/status
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```
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## Resources
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- Resource Limits: 1 CPU, 1G RAM
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- Resource Reservations: 0.25 CPU, 512M RAM
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## Common Tasks
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### Create Index Pattern
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1. Navigate to Management → Stack Management → Index Patterns
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2. Click "Create index pattern"
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3. Enter your index pattern (e.g., `logstash-*`)
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4. Select the time field
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5. Click "Create index pattern"
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### Create Visualization
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1. Navigate to Analytics → Visualize Library
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2. Click "Create visualization"
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3. Select visualization type
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4. Configure the visualization
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5. Save the visualization
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## Integration
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Kibana works with:
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- Elasticsearch (required)
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- Logstash (optional)
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- Beats (optional)
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- APM Server (optional)
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91
src/kibana/README.zh.md
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91
src/kibana/README.zh.md
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# Kibana
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[Kibana](https://www.elastic.co/kibana) 是一个免费且开源的用户界面，可让您可视化 Elasticsearch 数据并浏览 Elastic Stack。
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## 功能特性
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- 数据可视化：创建美观的可视化和仪表板
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- 搜索和过滤：强大的搜索功能
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- 机器学习：检测异常和模式
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- 告警：基于数据设置告警
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- 安全性：用户身份验证和授权
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## 快速开始
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启动 Kibana（需要 Elasticsearch）：
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```bash
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docker compose up -d
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```
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## 配置
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### 环境变量
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- `KIBANA_VERSION`: Kibana 版本（默认：`8.16.1`）
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- `KIBANA_PORT_OVERRIDE`: HTTP 端口（默认：`5601`）
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- `ELASTICSEARCH_HOSTS`: Elasticsearch 主机（默认：`http://elasticsearch:9200`）
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- `ELASTICSEARCH_USERNAME`: Elasticsearch 用户名
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- `ELASTICSEARCH_PASSWORD`: Elasticsearch 密码
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- `KIBANA_SECURITY_ENABLED`: 启用安全（默认：`false`）
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- `KIBANA_ENCRYPTION_KEY`: 保存对象的加密密钥
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- `KIBANA_LOG_LEVEL`: 日志级别（默认：`info`）
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## 访问
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- Web UI: <http://localhost:5601>
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## 前置要求
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Kibana 需要运行 Elasticsearch。确保 Elasticsearch 在配置的 `ELASTICSEARCH_HOSTS` 可访问。
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## 自定义配置
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在 `docker-compose.yaml` 中取消配置卷的注释，并创建 `kibana.yml`：
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```yaml
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server.name: kibana
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server.host: "0.0.0.0"
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elasticsearch.hosts: ["http://elasticsearch:9200"]
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monitoring.ui.container.elasticsearch.enabled: true
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```
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## 健康检查
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检查 Kibana 状态：
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```bash
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curl http://localhost:5601/api/status
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```
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## 资源配置
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- 资源限制：1 CPU，1G 内存
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- 资源预留：0.25 CPU，512M 内存
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## 常见任务
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### 创建索引模式
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1. 导航到 Management → Stack Management → Index Patterns
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2. 点击 "Create index pattern"
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3. 输入索引模式（例如：`logstash-*`）
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4. 选择时间字段
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5. 点击 "Create index pattern"
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### 创建可视化
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1. 导航到 Analytics → Visualize Library
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2. 点击 "Create visualization"
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3. 选择可视化类型
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4. 配置可视化
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5. 保存可视化
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## 集成
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Kibana 与以下组件配合使用：
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- Elasticsearch（必需）
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- Logstash（可选）
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- Beats（可选）
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- APM Server（可选）
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