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build: update docker config and refine s3s region handling (#1976)

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Co-authored-by: houseme <housemecn@gmail.com>
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.docker/openobserve-otel/README.md
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English | [中文](README_ZH.md)
This directory contains the configuration files for setting up an observability stack with OpenObserve and OpenTelemetry
Collector.
This directory contains the configuration for an **alternative** observability stack using OpenObserve.
### Overview
## ⚠️ Note
This setup provides a complete observability solution for your applications:
For the **recommended** observability stack (Prometheus, Grafana, Tempo, Loki), please see `../observability/`.
- **OpenObserve**: A modern, open-source observability platform for logs, metrics, and traces.
- **OpenTelemetry Collector**: Collects and processes telemetry data before sending it to OpenObserve.
## 🌟 Overview
### Setup Instructions
OpenObserve is a lightweight, all-in-one observability platform that handles logs, metrics, and traces in a single binary. This setup is ideal for:
- Resource-constrained environments.
- Quick setup and testing.
- Users who prefer a unified UI.
1. **Prerequisites**:
- Docker and Docker Compose installed
- Sufficient memory resources (minimum 2GB recommended)
## 🚀 Quick Start
2. **Starting the Services**:
```bash
cd .docker/openobserve-otel
docker compose -f docker-compose.yml up -d
```
### 1. Start Services
3. **Accessing the Dashboard**:
- OpenObserve UI: http://localhost:5080
- Default credentials:
- Username: root@rustfs.com
- Password: rustfs123
```bash
cd .docker/openobserve-otel
docker compose up -d
```
### Configuration
### 2. Access Dashboard
#### OpenObserve Configuration
- **URL**: [http://localhost:5080](http://localhost:5080)
- **Username**: `root@rustfs.com`
- **Password**: `rustfs123`
The OpenObserve service is configured with:
## 🛠️ Configuration
- Root user credentials
- Data persistence through a volume mount
- Memory cache enabled
- Health checks
- Exposed ports:
- 5080: HTTP API and UI
- 5081: OTLP gRPC
### OpenObserve
#### OpenTelemetry Collector Configuration
- **Persistence**: Data is persisted to a Docker volume.
- **Ports**:
- `5080`: HTTP API and UI
- `5081`: OTLP gRPC
The collector is configured to:
### OpenTelemetry Collector
- Receive telemetry data via OTLP (HTTP and gRPC)
- Collect logs from files
- Process data in batches
- Export data to OpenObserve
- Manage memory usage
- **Receivers**: OTLP (gRPC `4317`, HTTP `4318`)
- **Exporters**: Sends data to OpenObserve.
### Integration with Your Application
## 🔗 Integration
To send telemetry data from your application, configure your OpenTelemetry SDK to send data to:
Configure your application to send OTLP data to the collector:
- OTLP gRPC: `localhost:4317`
- OTLP HTTP: `localhost:4318`
- **Endpoint**: `http://localhost:4318` (HTTP) or `localhost:4317` (gRPC)
For example, in a Rust application using the `rustfs-obs` library:
Example for RustFS:
```bash
export RUSTFS_OBS_ENDPOINT=http://localhost:4318
export RUSTFS_OBS_SERVICE_NAME=yourservice
export RUSTFS_OBS_SERVICE_VERSION=1.0.0
export RUSTFS_OBS_ENVIRONMENT=development
export RUSTFS_OBS_SERVICE_NAME=rustfs-node-1
```
.docker/openobserve-otel/README_ZH.md
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[English](README.md) | 中文
## 中文
本目录包含使用 OpenObserve 的**替代**可观测性技术栈配置。
本目录包含搭建 OpenObserve 和 OpenTelemetry Collector 可观测性栈的配置文件。
## ⚠️ 注意
### 概述
对于**推荐**的可观测性技术栈（Prometheus, Grafana, Tempo, Loki），请参阅 `../observability/`。
此设置为应用程序提供了完整的可观测性解决方案：
## 🌟 概览
- **OpenObserve**：现代化、开源的可观测性平台，用于日志、指标和追踪。
- **OpenTelemetry Collector**：收集和处理遥测数据，然后将其发送到 OpenObserve。
OpenObserve 是一个轻量级、一体化的可观测性平台，在一个二进制文件中处理日志、指标和追踪。此设置非常适合：
- 资源受限的环境。
- 快速设置和测试。
- 喜欢统一 UI 的用户。
### 设置说明
## 🚀 快速开始
1. **前提条件**：
- 已安装 Docker 和 Docker Compose
- 足够的内存资源（建议至少 2GB）
2. **启动服务**：
```bash
cd .docker/openobserve-otel
docker compose -f docker-compose.yml up -d
```
3. **访问仪表板**：
- OpenObserve UI：http://localhost:5080
- 默认凭据：
- 用户名：root@rustfs.com
- 密码：rustfs123
### 配置
#### OpenObserve 配置
OpenObserve 服务配置：
- 根用户凭据
- 通过卷挂载实现数据持久化
- 启用内存缓存
- 健康检查
- 暴露端口：
- 5080：HTTP API 和 UI
- 5081：OTLP gRPC
#### OpenTelemetry Collector 配置
收集器配置为：
- 通过 OTLP（HTTP 和 gRPC）接收遥测数据
- 从文件中收集日志
- 批处理数据
- 将数据导出到 OpenObserve
- 管理内存使用
### 与应用程序集成
要从应用程序发送遥测数据，将 OpenTelemetry SDK 配置为发送数据到：
- OTLP gRPC:`localhost:4317`
- OTLP HTTP:`localhost:4318`
例如，在使用 `rustfs-obs` 库的 Rust 应用程序中：
### 1. 启动服务
```bash
export RUSTFS_OBS_ENDPOINT=http://localhost:4317
export RUSTFS_OBS_SERVICE_NAME=yourservice
export RUSTFS_OBS_SERVICE_VERSION=1.0.0
export RUSTFS_OBS_ENVIRONMENT=development
```
cd .docker/openobserve-otel
docker compose up -d
```
### 2. 访问仪表盘
- **URL**: [http://localhost:5080](http://localhost:5080)
- **用户名**: `root@rustfs.com`
- **密码**: `rustfs123`
## 🛠️ 配置
### OpenObserve
- **持久化**: 数据持久化到 Docker 卷。
- **端口**:
- `5080`: HTTP API 和 UI
- `5081`: OTLP gRPC
### OpenTelemetry Collector
- **接收器**: OTLP (gRPC `4317`, HTTP `4318`)
- **导出器**: 将数据发送到 OpenObserve。
## 🔗 集成
配置您的应用程序将 OTLP 数据发送到收集器：
- **端点**: `http://localhost:4318` (HTTP) 或 `localhost:4317` (gRPC)
RustFS 示例：
```bash
export RUSTFS_OBS_ENDPOINT=http://localhost:4318
export RUSTFS_OBS_SERVICE_NAME=rustfs-node-1
```