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

Co-authored-by: houseme <housemecn@gmail.com>
This commit is contained in:
heihutu
2026-02-27 01:21:12 +08:00
committed by GitHub
parent eb07f084cb
commit d983638391
43 changed files with 1009 additions and 852 deletions
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jaeger-data/*
loki-data/*
prometheus-data/*
tempo-data/*
grafana-data/*
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# Observability
# RustFS Observability Stack
This directory contains the observability stack for the application. The stack is composed of the following components:
This directory contains the comprehensive observability stack for RustFS, designed to provide deep insights into application performance, logs, and traces.
- Prometheus v3.2.1
- Grafana 11.6.0
- Loki 3.4.2
- Jaeger 2.4.0
- Otel Collector 0.120.0 # 0.121.0 remove loki
## Components
## Prometheus
The stack is composed of the following best-in-class open-source components:
Prometheus is a monitoring and alerting toolkit. It scrapes metrics from instrumented jobs, either directly or via an
intermediary push gateway for short-lived jobs. It stores all scraped samples locally and runs rules over this data to
either aggregate and record new time series from existing data or generate alerts. Grafana or other API consumers can be
used to visualize the collected data.
- **Prometheus** (v2.53.1): The industry standard for metric collection and alerting.
- **Grafana** (v11.1.0): The leading platform for observability visualization.
- **Loki** (v3.1.0): A horizontally-scalable, highly-available, multi-tenant log aggregation system.
- **Tempo** (v2.5.0): A high-volume, minimal dependency distributed tracing backend.
- **Jaeger** (v1.59.0): Distributed tracing system (configured as a secondary UI/storage).
- **OpenTelemetry Collector** (v0.104.0): A vendor-agnostic implementation for receiving, processing, and exporting telemetry data.
## Grafana
## Architecture
Grafana is a multi-platform open-source analytics and interactive visualization web application. It provides charts,
graphs, and alerts for the web when connected to supported data sources.
1. **Telemetry Collection**: Applications send OTLP (OpenTelemetry Protocol) data (Metrics, Logs, Traces) to the **OpenTelemetry Collector**.
2. **Processing & Exporting**: The Collector processes the data (batching, memory limiting) and exports it to the respective backends:
- **Traces** -> **Tempo** (Primary) & **Jaeger** (Secondary/Optional)
- **Metrics** -> **Prometheus** (via scraping the Collector's exporter)
- **Logs** -> **Loki**
3. **Visualization**: **Grafana** connects to all backends (Prometheus, Tempo, Loki, Jaeger) to provide a unified dashboard experience.
## Loki
## Features
Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is
designed to be very cost-effective and easy to operate. It does not index the contents of the logs, but rather a set of
labels for each log stream.
- **Full Persistence**: All data (Metrics, Logs, Traces) is persisted to Docker volumes, ensuring no data loss on restart.
- **Correlation**: Seamless navigation between Metrics, Logs, and Traces in Grafana.
- Jump from a Metric spike to relevant Traces.
- Jump from a Trace to relevant Logs.
- **High Performance**: Optimized configurations for batching, compression, and memory management.
- **Standardized Protocols**: Built entirely on OpenTelemetry standards.
## Jaeger
## Quick Start
Jaeger is a distributed tracing system released as open source by Uber Technologies. It is used for monitoring and
troubleshooting microservices-based distributed systems, including:
### Prerequisites
- Distributed context propagation
- Distributed transaction monitoring
- Root cause analysis
- Service dependency analysis
- Performance / latency optimization
- Docker
- Docker Compose
## Otel Collector
### Deploy
The OpenTelemetry Collector offers a vendor-agnostic implementation on how to receive, process, and export telemetry
data. It removes the need to run, operate, and maintain multiple agents/collectors in order to support open-source
observability data formats (e.g. Jaeger, Prometheus, etc.) sending to one or more open-source or commercial back-ends.
## How to use
To deploy the observability stack, run the following command:
- docker latest version
Run the following command to start the entire stack:
```bash
docker compose -f docker-compose.yml -f docker-compose.override.yml up -d
docker compose up -d
```
- docker compose v2.0.0 or before
### Access Dashboards
| Service | URL | Credentials | Description |
| :--- | :--- | :--- | :--- |
| **Grafana** | [http://localhost:3000](http://localhost:3000) | `admin` / `admin` | Main visualization hub. |
| **Prometheus** | [http://localhost:9090](http://localhost:9090) | - | Metric queries and status. |
| **Jaeger UI** | [http://localhost:16686](http://localhost:16686) | - | Secondary trace visualization. |
| **Tempo** | [http://localhost:3200](http://localhost:3200) | - | Tempo status/metrics. |
## Configuration
### Data Persistence
Data is stored in the following Docker volumes:
- `prometheus-data`: Prometheus metrics
- `tempo-data`: Tempo traces (WAL and Blocks)
- `loki-data`: Loki logs (Chunks and Rules)
- `jaeger-data`: Jaeger traces (Badger DB)
To clear all data:
```bash
docker-compose -f docker-compose.yml -f docker-compose.override.yml up -d
docker compose down -v
```
To access the Grafana dashboard, navigate to `http://localhost:3000` in your browser. The default username and password
are `admin` and `admin`, respectively.
To access the Jaeger dashboard, navigate to `http://localhost:16686` in your browser.
To access the Prometheus dashboard, navigate to `http://localhost:9090` in your browser.
## How to stop
To stop the observability stack, run the following command:
```bash
docker compose -f docker-compose.yml -f docker-compose.override.yml down
```
## How to remove data
To remove the data generated by the observability stack, run the following command:
```bash
docker compose -f docker-compose.yml -f docker-compose.override.yml down -v
```
## How to configure
To configure the observability stack, modify the `docker-compose.override.yml` file. The file contains the following
```yaml
services:
prometheus:
environment:
- PROMETHEUS_CONFIG_FILE=/etc/prometheus/prometheus.yml
volumes:
- ./prometheus.yml:/etc/prometheus/prometheus.yml
grafana:
environment:
- GF_SECURITY_ADMIN_PASSWORD=admin
volumes:
- ./grafana/provisioning:/etc/grafana/provisioning
```
The `prometheus` service mounts the `prometheus.yml` file to `/etc/prometheus/prometheus.yml`. The `grafana` service
mounts the `grafana/provisioning` directory to `/etc/grafana/provisioning`. You can modify these files to configure the
observability stack.
### Customization
- **Prometheus**: Edit `prometheus.yml` to add scrape targets or alerting rules.
- **Grafana**: Dashboards and datasources are provisioned from the `grafana/` directory.
- **Collector**: Edit `otel-collector-config.yaml` to modify pipelines, processors, or exporters.
## Troubleshooting
- **Service Health**: Check the health of services using `docker compose ps`.
- **Logs**: View logs for a specific service using `docker compose logs -f <service_name>`.
- **Otel Collector**: Check `http://localhost:13133` for health status and `http://localhost:1888/debug/pprof/` for profiling.
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## 部署可观测性系统
# RustFS 可观测性技术栈
OpenTelemetry Collector 提供了一个厂商中立的遥测数据处理方案,用于接收、处理和导出遥测数据。它消除了为支持多种开源可观测性数据格式(如
Jaeger、Prometheus 等)而需要运行和维护多个代理/收集器的必要性。
本目录包含 RustFS 的全面可观测性技术栈,旨在提供对应用程序性能、日志和追踪的深入洞察。
### 快速部署
## 组件
1. 进入 `.docker/observability` 目录
2. 执行以下命令启动服务:
该技术栈由以下一流的开源组件组成:
- **Prometheus** (v2.53.1): 行业标准的指标收集和告警工具。
- **Grafana** (v11.1.0): 领先的可观测性可视化平台。
- **Loki** (v3.1.0): 水平可扩展、高可用、多租户的日志聚合系统。
- **Tempo** (v2.5.0): 高吞吐量、最小依赖的分布式追踪后端。
- **Jaeger** (v1.59.0): 分布式追踪系统(配置为辅助 UI/存储)。
- **OpenTelemetry Collector** (v0.104.0): 接收、处理和导出遥测数据的供应商无关实现。
## 架构
1. **遥测收集**: 应用程序将 OTLP (OpenTelemetry Protocol) 数据(指标、日志、追踪)发送到 **OpenTelemetry Collector**
2. **处理与导出**: Collector 处理数据(批处理、内存限制)并将其导出到相应的后端:
- **追踪** -> **Tempo** (主要) & **Jaeger** (辅助/可选)
- **指标** -> **Prometheus** (通过抓取 Collector 的导出器)
- **日志** -> **Loki**
3. **可视化**: **Grafana** 连接到所有后端(Prometheus, Tempo, Loki, Jaeger),提供统一的仪表盘体验。
## 特性
- **完全持久化**: 所有数据(指标、日志、追踪)都持久化到 Docker 卷,确保重启后无数据丢失。
- **关联性**: 在 Grafana 中实现指标、日志和追踪之间的无缝导航。
- 从指标峰值跳转到相关追踪。
- 从追踪跳转到相关日志。
- **高性能**: 针对批处理、压缩和内存管理进行了优化配置。
- **标准化协议**: 完全基于 OpenTelemetry 标准构建。
## 快速开始
### 前置条件
- Docker
- Docker Compose
### 部署
运行以下命令启动整个技术栈:
```bash
docker compose -f docker-compose.yml up -d
docker compose up -d
```
### 访问监控面板
### 访问仪表盘
服务启动后,可通过以下地址访问各个监控面板:
| 服务 | URL | 凭据 | 描述 |
| :--- | :--- | :--- | :--- |
| **Grafana** | [http://localhost:3000](http://localhost:3000) | `admin` / `admin` | 主要可视化中心。 |
| **Prometheus** | [http://localhost:9090](http://localhost:9090) | - | 指标查询和状态。 |
| **Jaeger UI** | [http://localhost:16686](http://localhost:16686) | - | 辅助追踪可视化。 |
| **Tempo** | [http://localhost:3200](http://localhost:3200) | - | Tempo 状态/指标。 |
- Grafana: `http://localhost:3000` (默认账号/密码:`admin`/`admin`)
- Jaeger: `http://localhost:16686`
- Prometheus: `http://localhost:9090`
## 配置
## 配置可观测性
### 数据持久化
```shell
export RUSTFS_OBS_ENDPOINT="http://localhost:4317" # OpenTelemetry Collector 地址
数据存储在以下 Docker 卷中:
- `prometheus-data`: Prometheus 指标
- `tempo-data`: Tempo 追踪 (WAL 和 Blocks)
- `loki-data`: Loki 日志 (Chunks 和 Rules)
- `jaeger-data`: Jaeger 追踪 (Badger DB)
要清除所有数据:
```bash
docker compose down -v
```
### 自定义
- **Prometheus**: 编辑 `prometheus.yml` 以添加抓取目标或告警规则。
- **Grafana**: 仪表盘和数据源从 `grafana/` 目录预置。
- **Collector**: 编辑 `otel-collector-config.yaml` 以修改管道、处理器或导出器。
## 故障排除
- **服务健康**: 使用 `docker compose ps` 检查服务健康状况。
- **日志**: 使用 `docker compose logs -f <service_name>` 查看特定服务的日志。
- **Otel Collector**: 检查 `http://localhost:13133` 获取健康状态,检查 `http://localhost:1888/debug/pprof/` 进行性能分析。
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services:
# --- Tracing ---
tempo-init:
image: busybox:latest
command: [ "sh", "-c", "chown -R 10001:10001 /var/tempo" ]
@@ -26,74 +28,52 @@ services:
tempo:
image: grafana/tempo:latest
user: "10001" # The container must be started with root to execute chown in the script
command: [ "-config.file=/etc/tempo.yaml" ] # This is passed as a parameter to the entry point script
user: "10001"
command: [ "-config.file=/etc/tempo.yaml" ]
volumes:
- ./tempo.yaml:/etc/tempo.yaml:ro
- ./tempo-data:/var/tempo
ports:
- "3200:3200" # tempo
- "24317:4317" # otlp grpc
- "24318:4318" # otlp http
- "4317" # otlp grpc
- "4318" # otlp http
restart: unless-stopped
networks:
- otel-network
healthcheck:
test: [ "CMD", "wget", "--spider", "-q", "http://localhost:3200/metrics" ]
test: [ "CMD-SHELL", "wget --spider -q http://localhost:3200/metrics || exit 1" ]
interval: 10s
timeout: 5s
retries: 3
start_period: 15s
otel-collector:
image: otel/opentelemetry-collector-contrib:latest
environment:
- TZ=Asia/Shanghai
volumes:
- ./otel-collector-config.yaml:/etc/otelcol-contrib/config.yaml:ro
ports:
- "1888:1888" # pprof
- "8888:8888" # Prometheus metrics for Collector
- "8889:8889" # Prometheus metrics for application indicators
- "13133:13133" # health check
- "4317:4317" # OTLP gRPC
- "4318:4318" # OTLP HTTP
- "55679:55679" # zpages
networks:
- otel-network
depends_on:
jaeger:
condition: service_started
tempo:
condition: service_started
prometheus:
condition: service_started
loki:
condition: service_started
healthcheck:
test: [ "CMD", "wget", "--spider", "-q", "http://localhost:13133" ]
interval: 10s
timeout: 5s
retries: 3
retries: 5
start_period: 40s
jaeger:
image: jaegertracing/jaeger:latest
environment:
- TZ=Asia/Shanghai
- SPAN_STORAGE_TYPE=memory
- SPAN_STORAGE_TYPE=badger
- BADGER_EPHEMERAL=false
- BADGER_DIRECTORY_VALUE=/badger/data
- BADGER_DIRECTORY_KEY=/badger/key
- COLLECTOR_OTLP_ENABLED=true
volumes:
- ./jaeger-data:/badger
ports:
- "16686:16686" # Web UI
- "14317:4317" # OTLP gRPC
- "14318:4318" # OTLP HTTP
- "18888:8888" # collector
- "14269:14269" # Admin/Metrics
- "4317"
- "4318"
networks:
- otel-network
healthcheck:
test: [ "CMD", "wget", "--spider", "-q", "http://localhost:16686" ]
test: [ "CMD-SHELL", "wget --spider -q http://localhost:14269 || exit 1" ]
interval: 10s
timeout: 5s
retries: 3
retries: 5
start_period: 20s
# --- Metrics ---
prometheus:
image: prom/prometheus:latest
environment:
@@ -105,11 +85,11 @@ services:
- "9090:9090"
command:
- '--config.file=/etc/prometheus/prometheus.yml'
- '--web.enable-otlp-receiver' # Enable OTLP
- '--web.enable-remote-write-receiver' # Enable remote write
- '--enable-feature=promql-experimental-functions' # Enable info()
- '--storage.tsdb.min-block-duration=15m' # Minimum block duration
- '--storage.tsdb.max-block-duration=1h' # Maximum block duration
- '--web.enable-otlp-receiver'
- '--web.enable-remote-write-receiver'
- '--enable-feature=promql-experimental-functions'
- '--storage.tsdb.min-block-duration=2h'
- '--storage.tsdb.max-block-duration=2h'
- '--log.level=info'
- '--storage.tsdb.retention.time=30d'
- '--storage.tsdb.path=/prometheus'
@@ -119,37 +99,78 @@ services:
networks:
- otel-network
healthcheck:
test: [ "CMD", "wget", "--spider", "-q", "http://localhost:9090/-/healthy" ]
test: [ "CMD-SHELL", "wget --spider -q http://localhost:9090/-/healthy || exit 1" ]
interval: 10s
timeout: 5s
retries: 3
# --- Logging ---
loki:
image: grafana/loki:latest
environment:
- TZ=Asia/Shanghai
volumes:
- ./loki-config.yaml:/etc/loki/local-config.yaml:ro
- ./loki-data:/loki
ports:
- "3100:3100"
command: -config.file=/etc/loki/local-config.yaml
networks:
- otel-network
healthcheck:
test: [ "CMD", "wget", "--spider", "-q", "http://localhost:3100/ready" ]
test: [ "CMD-SHELL", "wget --spider -q http://localhost:3100/metrics || exit 1" ]
interval: 15s
timeout: 10s
retries: 5
start_period: 60s
# --- Collection ---
otel-collector:
image: otel/opentelemetry-collector-contrib:latest
environment:
- TZ=Asia/Shanghai
volumes:
- ./otel-collector-config.yaml:/etc/otelcol-contrib/config.yaml:ro
ports:
- "1888:1888" # pprof
- "8888:8888" # Prometheus metrics for Collector
- "8889:8889" # Prometheus metrics for application indicators
- "13133:13133" # health check
- "4317:4317" # OTLP gRPC
- "4318:4318" # OTLP HTTP
- "55679:55679" # zpages
networks:
- otel-network
depends_on:
- tempo
- jaeger
- prometheus
- loki
healthcheck:
test: [ "CMD-SHELL", "wget --spider -q http://localhost:13133 || exit 1" ]
interval: 10s
timeout: 5s
retries: 3
start_period: 20s
# --- Visualization ---
grafana:
image: grafana/grafana:latest
ports:
- "3000:3000" # Web UI
- "3000:3000"
volumes:
- ./grafana-datasources.yaml:/etc/grafana/provisioning/datasources/datasources.yaml
- ./grafana/provisioning:/etc/grafana/provisioning
- ./grafana/dashboards:/var/lib/grafana/dashboards
- ./grafana-data:/var/lib/grafana
environment:
- GF_SECURITY_ADMIN_PASSWORD=admin
- GF_SECURITY_ADMIN_USER=admin
- TZ=Asia/Shanghai
- GF_INSTALL_PLUGINS=grafana-pyroscope-datasource
- GF_DASHBOARDS_DEFAULT_HOME_DASHBOARD_PATH=/var/lib/grafana/dashboards/home.json
restart: unless-stopped
networks:
- otel-network
@@ -158,7 +179,7 @@ services:
- tempo
- loki
healthcheck:
test: [ "CMD", "wget", "--spider", "-q", "http://localhost:3000/api/health" ]
test: [ "CMD-SHELL", "wget --spider -q http://localhost:3000/api/health || exit 1" ]
interval: 10s
timeout: 5s
retries: 3
@@ -166,11 +187,14 @@ services:
volumes:
prometheus-data:
tempo-data:
loki-data:
jaeger-data:
grafana-data:
networks:
otel-network:
driver: bridge
name: "network_otel_config"
name: "network_otel"
ipam:
config:
- subnet: 172.28.0.0/16
@@ -0,0 +1 @@
*
@@ -1,3 +1,17 @@
# Copyright 2024 RustFS Team
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
apiVersion: 1
datasources:
@@ -7,102 +21,77 @@ datasources:
access: proxy
orgId: 1
url: http://prometheus:9090
basicAuth: false
isDefault: false
isDefault: true
version: 1
editable: false
jsonData:
httpMethod: GET
exemplarTraceIdDestinations:
- name: trace_id
datasourceUid: tempo
- name: Tempo
type: tempo
uid: tempo
access: proxy
orgId: 1
url: http://tempo:3200
basicAuth: false
isDefault: true
isDefault: false
version: 1
editable: false
apiVersion: 1
uid: tempo
jsonData:
httpMethod: GET
serviceMap:
datasourceUid: prometheus
streamingEnabled:
search: true
tracesToLogsV2:
# Field with an internal link pointing to a logs data source in Grafana.
# datasourceUid value must match the uid value of the logs data source.
datasourceUid: 'loki'
spanStartTimeShift: '-1h'
spanEndTimeShift: '1h'
tags: [ 'job', 'instance', 'pod', 'namespace' ]
filterByTraceID: false
tracesToLogs:
datasourceUid: loki
tags: [ 'job', 'instance', 'pod', 'namespace', 'service.name' ]
mappedTags: [ { key: 'service.name', value: 'app' } ]
spanStartTimeShift: '1s'
spanEndTimeShift: '-1s'
filterByTraceID: true
filterBySpanID: false
customQuery: true
query: 'method="$${__span.tags.method}"'
tracesToMetrics:
datasourceUid: 'prometheus'
spanStartTimeShift: '-1h'
spanEndTimeShift: '1h'
tags: [ { key: 'service.name', value: 'service' }, { key: 'job' } ]
queries:
- name: 'Sample query'
query: 'sum(rate(traces_spanmetrics_latency_bucket{$$__tags}[5m]))'
tracesToProfiles:
datasourceUid: 'grafana-pyroscope-datasource'
tags: [ 'job', 'instance', 'pod', 'namespace' ]
profileTypeId: 'process_cpu:cpu:nanoseconds:cpu:nanoseconds'
customQuery: true
query: 'method="$${__span.tags.method}"'
serviceMap:
datasourceUid: 'prometheus'
nodeGraph:
enabled: true
search:
hide: false
traceQuery:
timeShiftEnabled: true
spanStartTimeShift: '-1h'
spanEndTimeShift: '1h'
spanBar:
type: 'Tag'
tag: 'http.path'
streamingEnabled:
search: true
- name: Jaeger
type: jaeger
uid: Jaeger
url: http://jaeger:16686
basicAuth: false
access: proxy
readOnly: false
isDefault: false
jsonData:
tracesToLogsV2:
# Field with an internal link pointing to a logs data source in Grafana.
# datasourceUid value must match the uid value of the logs data source.
datasourceUid: 'loki'
spanStartTimeShift: '1h'
spanEndTimeShift: '-1h'
tags: [ 'job', 'instance', 'pod', 'namespace' ]
filterByTraceID: false
filterBySpanID: false
customQuery: true
query: 'method="$${__span.tags.method}"'
tracesToMetrics:
datasourceUid: 'Prometheus'
spanStartTimeShift: '1h'
spanEndTimeShift: '-1h'
tags: [ { key: 'service.name', value: 'service' }, { key: 'job' } ]
datasourceUid: prometheus
tags: [ { key: 'service.name' }, { key: 'job' } ]
queries:
- name: 'Sample query'
query: 'sum(rate(traces_spanmetrics_latency_bucket{$$__tags}[5m]))'
- name: 'Service-Level Latency'
query: 'sum(rate(traces_spanmetrics_latency_bucket{$$__tags}[5m])) by (le)'
- name: 'Service-Level Calls'
query: 'sum(rate(traces_spanmetrics_calls_total{$$__tags}[5m]))'
- name: 'Service-Level Errors'
query: 'sum(rate(traces_spanmetrics_calls_total{status_code="ERROR", $$__tags}[5m]))'
nodeGraph:
enabled: true
traceQuery:
timeShiftEnabled: true
spanStartTimeShift: '1h'
spanEndTimeShift: '-1h'
spanBar:
type: 'None'
- name: Loki
type: loki
uid: loki
orgId: 1
url: http://loki:3100
isDefault: false
version: 1
editable: false
jsonData:
derivedFields:
- datasourceUid: tempo
matcherRegex: 'trace_id=(\w+)'
name: 'TraceID'
url: '$${__value.raw}'
- name: Jaeger
type: jaeger
uid: jaeger
url: http://jaeger:16686
access: proxy
isDefault: false
editable: false
jsonData:
tracesToLogs:
datasourceUid: loki
tags: [ 'job', 'instance', 'pod', 'namespace', 'service.name' ]
mappedTags: [ { key: 'service.name', value: 'app' } ]
spanStartTimeShift: '1s'
spanEndTimeShift: '-1s'
filterByTraceID: true
filterBySpanID: false
+10 -34
View File
@@ -31,29 +31,19 @@ service:
host: 0.0.0.0
port: 8888
logs:
level: debug
# TODO Initialize telemetry tracer once OTEL released new feature.
# https://github.com/open-telemetry/opentelemetry-collector/issues/10663
level: info
extensions:
healthcheckv2:
use_v2: true
http:
# pprof:
# endpoint: 0.0.0.0:1777
# zpages:
# endpoint: 0.0.0.0:55679
jaeger_query:
storage:
traces: some_store
traces_archive: another_store
traces: badger_store
ui:
config_file: ./cmd/jaeger/config-ui.json
log_access: true
# The maximum duration that is considered for clock skew adjustments.
# Defaults to 0 seconds, which means it's disabled.
max_clock_skew_adjust: 0s
grpc:
endpoint: 0.0.0.0:16685
@@ -62,26 +52,16 @@ extensions:
jaeger_storage:
backends:
some_store:
memory:
max_traces: 1000000
max_events: 100000
another_store:
memory:
max_traces: 1000000
metric_backends:
some_metrics_storage:
prometheus:
endpoint: http://prometheus:9090
normalize_calls: true
normalize_duration: true
badger_store:
badger:
ephemeral: false
directory_key: /badger/key
directory_value: /badger/data
span_store_ttl: 72h
remote_sampling:
# You can either use file or adaptive sampling strategy in remote_sampling
# file:
# path: ./cmd/jaeger/sampling-strategies.json
adaptive:
sampling_store: some_store
sampling_store: badger_store
initial_sampling_probability: 0.1
http:
grpc:
@@ -103,12 +83,8 @@ receivers:
processors:
batch:
metadata_keys: [ "span.kind", "http.method", "http.status_code", "db.system", "db.statement", "messaging.system", "messaging.destination", "messaging.operation","span.events","span.links" ]
# Adaptive Sampling Processor is required to support adaptive sampling.
# It expects remote_sampling extension with `adaptive:` config to be enabled.
adaptive_sampling:
exporters:
jaeger_storage_exporter:
trace_storage: some_store
trace_storage: badger_store
@@ -0,0 +1 @@
*
+4 -18
View File
@@ -17,16 +17,16 @@ auth_enabled: false
server:
http_listen_port: 3100
grpc_listen_port: 9096
log_level: debug
log_level: info
grpc_server_max_concurrent_streams: 1000
common:
instance_addr: 127.0.0.1
path_prefix: /tmp/loki
path_prefix: /loki
storage:
filesystem:
chunks_directory: /tmp/loki/chunks
rules_directory: /tmp/loki/rules
chunks_directory: /loki/chunks
rules_directory: /loki/rules
replication_factor: 1
ring:
kvstore:
@@ -66,17 +66,3 @@ ruler:
frontend:
encoding: protobuf
# By default, Loki will send anonymous, but uniquely-identifiable usage and configuration
# analytics to Grafana Labs. These statistics are sent to https://stats.grafana.org/
#
# Statistics help us better understand how Loki is used, and they show us performance
# levels for most users. This helps us prioritize features and documentation.
# For more information on what's sent, look at
# https://github.com/grafana/loki/blob/main/pkg/analytics/stats.go
# Refer to the buildReport method to see what goes into a report.
#
# If you would like to disable reporting, uncomment the following lines:
#analytics:
# reporting_enabled: false
@@ -0,0 +1 @@
*
@@ -15,69 +15,70 @@
receivers:
otlp:
protocols:
grpc: # OTLP gRPC receiver
grpc:
endpoint: 0.0.0.0:4317
http: # OTLP HTTP receiver
http:
endpoint: 0.0.0.0:4318
processors:
batch: # Batch processor to improve throughput
timeout: 5s
send_batch_size: 1000
metadata_keys: [ ]
metadata_cardinality_limit: 1000
batch:
timeout: 1s
send_batch_size: 1024
memory_limiter:
check_interval: 1s
limit_mib: 512
limit_mib: 1024
spike_limit_mib: 256
transform/logs:
log_statements:
- context: log
statements:
# Extract Body as attribute "message"
- set(attributes["message"], body.string)
# Retain the original Body
- set(attributes["log.body"], body.string)
exporters:
otlp/traces: # OTLP exporter for trace data
endpoint: "http://jaeger:4317" # OTLP gRPC endpoint for Jaeger
otlp/tempo:
endpoint: "tempo:4317"
tls:
insecure: true # TLS is disabled in the development environment and a certificate needs to be configured in the production environment.
compression: gzip # Enable compression to reduce network bandwidth
insecure: true
compression: gzip
retry_on_failure:
enabled: true # Enable retry on failure
initial_interval: 1s # Initial interval for retry
max_interval: 30s # Maximum interval for retry
max_elapsed_time: 300s # Maximum elapsed time for retry
enabled: true
initial_interval: 1s
max_interval: 30s
max_elapsed_time: 300s
sending_queue:
enabled: true # Enable sending queue
num_consumers: 10 # Number of consumers
queue_size: 5000 # Queue size
otlp/tempo: # OTLP exporter for trace data
endpoint: "http://tempo:4317" # OTLP gRPC endpoint for tempo
enabled: true
num_consumers: 10
queue_size: 5000
otlp/jaeger:
endpoint: "jaeger:4317"
tls:
insecure: true # TLS is disabled in the development environment and a certificate needs to be configured in the production environment.
compression: gzip # Enable compression to reduce network bandwidth
insecure: true
compression: gzip
retry_on_failure:
enabled: true # Enable retry on failure
initial_interval: 1s # Initial interval for retry
max_interval: 30s # Maximum interval for retry
max_elapsed_time: 300s # Maximum elapsed time for retry
enabled: true
initial_interval: 1s
max_interval: 30s
max_elapsed_time: 300s
sending_queue:
enabled: true # Enable sending queue
num_consumers: 10 # Number of consumers
queue_size: 5000 # Queue size
prometheus: # Prometheus exporter for metrics data
endpoint: "0.0.0.0:8889" # Prometheus scraping endpoint
send_timestamps: true # Send timestamp
metric_expiration: 5m # Metric expiration time
enabled: true
num_consumers: 10
queue_size: 5000
prometheus:
endpoint: "0.0.0.0:8889"
send_timestamps: true
metric_expiration: 5m
resource_to_telemetry_conversion:
enabled: true # Enable resource to telemetry conversion
otlphttp/loki: # Loki exporter for log data
enabled: true
otlphttp/loki:
endpoint: "http://loki:3100/otlp"
tls:
insecure: true
compression: gzip # Enable compression to reduce network bandwidth
compression: gzip
extensions:
health_check:
endpoint: 0.0.0.0:13133
@@ -85,13 +86,14 @@ extensions:
endpoint: 0.0.0.0:1888
zpages:
endpoint: 0.0.0.0:55679
service:
extensions: [ health_check, pprof, zpages ] # Enable extension
extensions: [ health_check, pprof, zpages ]
pipelines:
traces:
receivers: [ otlp ]
processors: [ memory_limiter, batch ]
exporters: [ otlp/traces, otlp/tempo ]
exporters: [ otlp/tempo, otlp/jaeger ]
metrics:
receivers: [ otlp ]
processors: [ batch ]
@@ -102,20 +104,13 @@ service:
exporters: [ otlphttp/loki ]
telemetry:
logs:
level: "debug" # Collector log level
encoding: "json" # Log encoding: console or json
level: "info"
encoding: "json"
metrics:
level: "detailed" # Can be basic, normal, detailed
level: "normal"
readers:
- periodic:
exporter:
otlp:
protocol: http/protobuf
endpoint: http://otel-collector:4318
- pull:
exporter:
prometheus:
host: '0.0.0.0'
port: 8888
+18 -7
View File
@@ -17,27 +17,40 @@ global:
evaluation_interval: 15s
external_labels:
cluster: 'rustfs-dev' # Label to identify the cluster
relica: '1' # Replica identifier
replica: '1' # Replica identifier
scrape_configs:
- job_name: 'otel-collector-internal'
- job_name: 'otel-collector'
static_configs:
- targets: [ 'otel-collector:8888' ] # Scrape metrics from Collector
scrape_interval: 10s
- job_name: 'rustfs-app-metrics'
static_configs:
- targets: [ 'otel-collector:8889' ] # Application indicators
scrape_interval: 15s
metric_relabel_configs:
- source_labels: [ __name__ ]
regex: 'go_.*'
action: drop # Drop Go runtime metrics if not needed
- job_name: 'tempo'
static_configs:
- targets: [ 'tempo:3200' ] # Scrape metrics from Tempo
- job_name: 'jaeger'
static_configs:
- targets: [ 'jaeger:8888' ] # Jaeger admin port
- targets: [ 'jaeger:14269' ] # Jaeger admin port (14269 is standard for admin/metrics)
- job_name: 'loki'
static_configs:
- targets: [ 'loki:3100' ]
- job_name: 'prometheus'
static_configs:
- targets: [ 'localhost:9090' ]
otlp:
# Recommended attributes to be promoted to labels.
promote_resource_attributes:
- service.instance.id
- service.name
@@ -56,10 +69,8 @@ otlp:
- k8s.pod.name
- k8s.replicaset.name
- k8s.statefulset.name
# Ingest OTLP data keeping all characters in metric/label names.
translation_strategy: NoUTF8EscapingWithSuffixes
storage:
# OTLP is a push-based protocol, Out of order samples is a common scenario.
tsdb:
out_of_order_time_window: 30m
out_of_order_time_window: 30m
+14 -21
View File
@@ -1,18 +1,21 @@
stream_over_http_enabled: true
# Copyright 2024 RustFS Team
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
server:
http_listen_port: 3200
log_level: info
query_frontend:
search:
duration_slo: 5s
throughput_bytes_slo: 1.073741824e+09
metadata_slo:
duration_slo: 5s
throughput_bytes_slo: 1.073741824e+09
trace_by_id:
duration_slo: 5s
distributor:
receivers:
otlp:
@@ -25,10 +28,6 @@ distributor:
ingester:
max_block_duration: 5m # cut the headblock when this much time passes. this is being set for demo purposes and should probably be left alone normally
compactor:
compaction:
block_retention: 1h # overall Tempo trace retention. set for demo purposes
metrics_generator:
registry:
external_labels:
@@ -49,9 +48,3 @@ storage:
path: /var/tempo/wal # where to store the wal locally
local:
path: /var/tempo/blocks
overrides:
defaults:
metrics_generator:
processors: [ service-graphs, span-metrics, local-blocks ] # enables metrics generator
generate_native_histograms: both