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The following commit(s) were added to refs/heads/main by this push:
new 5b0f7f37 feat: add Prometheus push and pull mode monitoring setup with
Grafana and Pushgateway (#885)
5b0f7f37 is described below
commit 5b0f7f3769f69e47e84c230df1eda4c59a3322f7
Author: Xuetao Li <[email protected]>
AuthorDate: Sat Aug 9 15:34:46 2025 +0800
feat: add Prometheus push and pull mode monitoring setup with Grafana and
Pushgateway (#885)
* feat: add Prometheus monitoring setup with Grafana and Pushgateway
* feat: add Prometheus monitoring setup with Grafana and Pushgateway
* fix: update Prometheus query expressions in Grafana configuration
---
README.md | 2 +-
README_CN.md | 2 +-
metrics/README.md | 253 ++++----
metrics/README_CN.md | 180 ++++++
metrics/README_zn.md | 141 -----
metrics/assert/dashboard.png | Bin 250099 -> 0 bytes
metrics/assert/datasource.png | Bin 97773 -> 0 bytes
metrics/assert/grafana.png | Bin 0 -> 948366 bytes
metrics/assert/import-datasource.png | Bin 91148 -> 0 bytes
metrics/assert/import-json.png | Bin 104299 -> 0 bytes
metrics/assert/import.png | Bin 65239 -> 0 bytes
metrics/assert/podmonitor.png | Bin 85451 -> 0 bytes
metrics/docker-compose.yml | 45 ++
metrics/go-client/cmd/main.go | 8 +-
metrics/grafana.json | 1143 ++++++++++++++++++++++++++++++++++
metrics/prometheus_pull.yml | 31 +
metrics/prometheus_push.yml | 23 +
17 files changed, 1570 insertions(+), 258 deletions(-)
diff --git a/README.md b/README.md
index 45fbfd17..dc0ff949 100644
--- a/README.md
+++ b/README.md
@@ -46,7 +46,7 @@
* java_interop: Demonstrates interoperability between Java and Go Dubbo
implementations
* llm: Example of integrating large language models (LLM) with Dubbo-go
* logger: Logging examples for Dubbo-go applications
-* metrics: How to collect and expose metrics from Dubbo-go services
+* metrics: How to collect and expose metrics from Dubbo-go services,
supporting both Prometheus Push and Pull modes
* online_boutique: Microservices online boutique demo using Dubbo-go
* otel/tracing: Distributed tracing example using OpenTelemetry
* registry: Examples of using different service registries (e.g., nacos,
zookeeper)
diff --git a/README_CN.md b/README_CN.md
index 919728bc..52fb7790 100644
--- a/README_CN.md
+++ b/README_CN.md
@@ -42,7 +42,7 @@
* java_interop：Java 与 Go Dubbo 实现互操作示例
* llm：集成大语言模型（LLM）与 Dubbo-go 示例
* logger：Dubbo-go 日志功能示例
-* metrics：Dubbo-go 服务指标采集与暴露示例
+* metrics：Dubbo-go 服务指标采集与暴露示例，支持 Prometheus Push 模式和 Pull 模式
* online_boutique：Dubbo-go 微服务电商示例
* otel/tracing：基于 OpenTelemetry 的分布式链路追踪示例
* registry：多种服务注册中心（如 nacos、zookeeper）用法示例
diff --git a/metrics/README.md b/metrics/README.md
index 780047e5..690355fe 100644
--- a/metrics/README.md
+++ b/metrics/README.md
@@ -1,139 +1,174 @@
-# metrics for dubbo-go
+# Dubbo-Go Metrics Monitoring Example
-This example demonstrates the metrics usage of dubbo-go as an RPC framework.
Check [Quick
Start](https://cn.dubbo.apache.org/en/overview/mannual/golang-sdk/quickstart/)
on our official website for detailed explanation.
+English | [中文](README_CN.md)
-## Contents
+This example demonstrates how to use the Push and Pull modes of **Prometheus
Pushgateway** to monitor a Dubbo-Go application and visualize the data with
Grafana.
-- server/main.go - is the main definition of the service, handler and rpc
server
-- client/main.go - is the rpc client
-- proto - contains the protobuf definition of the API
+-----
-## How to run
+## Core Architecture
-### Run server
-```shell
-go run ./go-server/cmd/main.go
+The monitoring data flow is as follows:
+
+**Push Mode: Application (go-client / go-server) -> Prometheus Pushgateway ->
Prometheus -> Grafana**
+
+**Pull Mode: Application (go-client / go-server) -> Prometheus -> Grafana**
+
+## Included Components
+
+| Component | Port | Description |
+| :--- | :--- | :--- |
+| **Grafana** | `3000` | A dashboard for visualizing metrics. |
+| **Prometheus** | `9090` | Responsible for storing and querying metric data.
It pulls data from the Pushgateway. |
+| **Pushgateway** | `9091` | Used to receive metrics pushed from the Dubbo-Go
application. |
+| **go-server** | N/A | Dubbo-Go service provider (Provider) example. |
+| **go-client** | N/A | Dubbo-Go service consumer (Consumer) example that
continuously calls the server. |
+
+## 🚀 Quick Start
+
+Please follow the steps below to run this example.
+
+### Prerequisites:
+
+- Please configure the network addresses in `prometheus_pull.yml`,
`prometheus_push.yml`, `go-client/cmd/main.go`, and `go-server/cmd/main.go`
according to your actual network environment.
+- If you want to try the Push mode, change line 38 in `docker-compose.yml`
from `- ./prometheus_pull.yml:/etc/prometheus/prometheus.yml` to `-
./prometheus_push.yml:/etc/prometheus/prometheus.yml`, and then restart the
services.
+
+### Step 1: Start the Monitoring Stack
+
+First, start the Grafana, Prometheus, and Pushgateway services. We use
`docker-compose` to do this with a single command.
+
+```bash
+# Enter the metrics directory
+cd metrics
+# Start all monitoring services in the background
+docker-compose up -d
```
-test server work as expected:
-```shell
-curl \
- --header "Content-Type: application/json" \
- --data '{"name": "Dubbo"}' \
- http://localhost:20000/greet.GreetService/Greet
+You can now access the web UI for each service at the following addresses:
+
+- **Grafana**: `http://localhost:3000`
+- **Prometheus**: `http://localhost:9090`
+- **Pushgateway**: `http://localhost:9091`
+
+### Step 2: Start the Dubbo-Go Server
+
+In the metrics directory, open a new terminal window and run the server
program.
+
+```bash
+go run ./go-server/cmd/main.go
```
-### Run client
-```shell
+You will see logs indicating that the server has started successfully and
registered its services.
+
+### Step 3: Start the Dubbo-Go Client
+
+In the metrics directory, open another new terminal window and run the client
program. The client will continuously call the server's methods, with random
failures to generate monitoring metrics.
+
+```bash
go run ./go-client/cmd/main.go
```
-## deploy to local
-install prometheus and open prometheus config file `prometheus.yml`, write the
config like this
-
-```yaml
-global:
- evaluation_interval: 15s
- scrape_interval: 15s
-scrape_configs:
-- job_name: dubbo-provider
- scrape_interval: 15s
- scrape_timeout: 5s
- metrics_path: /prometheus
- static_configs:
- - targets: ['localhost:9099']
-- job_name: dubbo-consumer
- scrape_interval: 15s
- scrape_timeout: 5s
- metrics_path: /prometheus
- static_configs:
- - targets: ['localhost:9097']
-```
+The client will start printing call results while pushing monitoring metrics
to the Pushgateway. You can see the pushed metrics on the Pushgateway UI
(`http://localhost:9091/metrics`).
-install grafana and open grafana web page like `localhost:3000`
+### Step 4: Configure Grafana and Import the Dashboard
-open: 【Home / Connections / Data sources】
+Now that all services are running, let's configure Grafana to display the data.
-click 【Add new data source】
+#### 4.1. Add Prometheus Data Source
-select Prometheus
+1. Open the Grafana website:
[`http://localhost:3000`](https://www.google.com/search?q=http://localhost:3000)
(default username/password: `admin`/`admin`).
+2. In the left-side menu, navigate to **Home -> Connections -> Data sources**.
+3. Click the **[Add new data source]** button.
+4. Select **Prometheus**.
+5. In the **Prometheus server URL** field, enter
`http://host.docker.internal:9090`.
+ > **Note**: `host.docker.internal` is a special DNS name that allows
Docker containers (like Grafana) to access the host machine's network. You can
configure it according to your actual situation.
+6. Click the **[Save & test]** button at the bottom. You should see a "Data
source is working" success message.
-enter 【Prometheus server URL】 like `http://localhost:9090` and click 【Save &
test】
+#### 4.2. Import the Dubbo Monitoring Dashboard
-
+1. In the left-side menu, navigate to **Home -> Dashboards**.
+2. Click **[New]** -> **[Import]** in the top right corner.
+3. Copy the contents of `grafana.json` into the **Import via panel json**
text box, or click the **Upload JSON file** button to upload the `grafana.json`
file.
+4. On the next page, make sure to select the Prometheus data source we just
created for the dashboard.
+5. Click the **[Import]** button.
-open 【Home / Dashboards 】click 【New】【import】and enter 19294 click Load
+### Step 5: View the Monitoring Dashboard
-
+After a successful import, you will see a complete Dubbo observability
dashboard\! The data in the panels (like QPS, success rate, latency, etc.) will
update dynamically as the client continues to make calls.
-if your grafana can't access internet you can open
`https://grafana.com/grafana/dashboards/19294-dubbo-observability/` and click
【Download JSON】
+Enjoy\!
-paste the JSON
+## Troubleshooting
-
+- **Grafana dashboard shows "No Data"**
-
+ - Verify that the Prometheus data source URL
(`http://host.docker.internal:9090`) is correct and that the connection test
was successful.
+ - Go to the Prometheus UI (`http://localhost:9090`), and check the `Status
-> Targets` page to ensure the `pushgateway` job has a status of **UP**.
+ - In the Prometheus query bar, enter
`dubbo_consumer_requests_succeed_total` to confirm that data can be queried.
-click 【Import】button and you will see the Dubbo Observability dashboard,enjoy
it
+- **Cannot connect to `host.docker.internal`**
-
+ - `host.docker.internal` is a built-in feature of Docker. If this address
is not accessible, replace the IP address in `metrics/prometheus.yml` and the
Grafana data source address with your actual IP address.
-## Deploy to Kubernetes
+-----
-#### kube-prometheus
+## Deploying to Kubernetes
-install prometheus in k8s
[kube-prometheus](https://github.com/prometheus-operator/kube-prometheus)
-
-Set `prometheus-service.yaml` type to NodePort
-
-1. add `dubboPodMoitor.yaml` to `kube-prometheus` `manifests` dir, The
content is as follows
- ```yaml
-apiVersion: monitoring.coreos.com/v1
-kind: PodMonitor
-metadata:
- name: podmonitor
- labels:
- app: podmonitor
- namespace: monitoring
-spec:
- namespaceSelector:
- matchNames:
- - dubbo-system
- selector:
- matchLabels:
- app-type: dubbo
- podMetricsEndpoints:
- - port: metrics # ref to dubbo-app port name metrics
- path: /prometheus
----
-# rbac
-apiVersion: rbac.authorization.k8s.io/v1
-kind: Role
-metadata:
- namespace: dubbo-system
- name: pod-reader
-rules:
- - apiGroups: [""]
- resources: ["pods"]
- verbs: ["get", "list", "watch"]
-
----
-# rbac
-apiVersion: rbac.authorization.k8s.io/v1
-kind: RoleBinding
-metadata:
- name: pod-reader-binding
- namespace: dubbo-system
-roleRef:
- apiGroup: rbac.authorization.k8s.io
- kind: Role
- name: pod-reader
-subjects:
- - kind: ServiceAccount
- name: prometheus-k8s
- namespace: monitoring
-```
-2. `kubectl apply -f Deployment.yaml`
-3. open prometheus web page such as http://localhost:9090/targets
- 
+#### kube-prometheus
+To install Prometheus in Kubernetes (k8s), please refer to the
[kube-prometheus](https://github.com/prometheus-operator/kube-prometheus)
project.
+
+Set the service type in `prometheus-service.yaml` to `NodePort`.
+
+1. Add the `dubboPodMoitor.yaml` file to the `manifests` directory of
`kube-prometheus` with the following content:
+
+ ```yaml
+ apiVersion: monitoring.coreos.com/v1
+ kind: PodMonitor
+ metadata:
+ name: podmonitor
+ labels:
+ app: podmonitor
+ namespace: monitoring
+ spec:
+ namespaceSelector:
+ matchNames:
+ - dubbo-system
+ selector:
+ matchLabels:
+ app-type: dubbo
+ podMetricsEndpoints:
+ - port: metrics # Reference the port name 'metrics' of the dubbo-app
+ path: /prometheus
+ ---
+ # Role-Based Access Control (RBAC)
+ apiVersion: rbac.authorization.k8s.io/v1
+ kind: Role
+ metadata:
+ namespace: dubbo-system
+ name: pod-reader
+ rules:
+ - apiGroups: [ "" ]
+ resources: [ "pods" ]
+ verbs: [ "get", "list", "watch" ]
+
+ ---
+ # Role-Based Access Control (RBAC)
+ apiVersion: rbac.authorization.k8s.io/v1
+ kind: RoleBinding
+ metadata:
+ name: pod-reader-binding
+ namespace: dubbo-system
+ roleRef:
+ apiGroup: rbac.authorization.k8s.io
+ kind: Role
+ name: pod-reader
+ subjects:
+ - kind: ServiceAccount
+ name: prometheus-k8s
+ namespace: monitoring
+ ```
+
+2. Execute `kubectl apply -f Deployment.yaml`
+
+3. Open the Prometheus web interface, for example,
`http://localhost:9090/targets`
\ No newline at end of file
diff --git a/metrics/README_CN.md b/metrics/README_CN.md
new file mode 100644
index 00000000..bdf9a579
--- /dev/null
+++ b/metrics/README_CN.md
@@ -0,0 +1,180 @@
+# Dubbo-Go 指标监控示例
+
+[English](README.md) | 中文
+
+本示例演示了如何使用 **Prometheus Pushgateway** 的Push和Pull模式来监控 Dubbo-Go 应用程序，并通过
Grafana 进行可视化展示。
+
+
+---
+
+## 核心架构
+
+监控数据流如下：
+
+**Push 模式：应用 (go-client / go-server) -> Prometheus Pushgateway -> Prometheus
-> Grafana**
+
+**Pull 模式：应用 (go-client / go-server) -> Prometheus -> Grafana**
+
+## 包含组件
+
+| 组件 | 端口 | 描述 |
+|:----------------|:-------|:---------------------------------------|
+| **Grafana** | `3000` | 用于指标可视化的仪表盘。 |
+| **Prometheus** | `9090` | 负责存储和查询指标数据，它会从 Pushgateway 拉取数据。 |
+| **Pushgateway** | `9091` | 用于接收来自 Dubbo-Go 应用推送的指标数据。 |
+| **go-server** | N/A | Dubbo-Go 服务提供者 (Provider) 示例。 |
+| **go-client** | N/A | Dubbo-Go 服务消费者 (Consumer) 示例，会持续调用服务端。 |
+
+## 🚀 快速开始
+
+请按照以下步骤来运行此示例。
+
+### 前提条件：
+
+- 请根据实际的网络情况配置
`prometheus_pull.yml`、`prometheus_push.yml`、`go-client/cmd/main.go`、`go-server/cmd/main.go`
+ 中的网络地址。
+- 如果您想体验Push模式，请将 `docker-compose.yml` 第 38 行的 `-
./prometheus_pull.yml:/etc/prometheus/prometheus.yml` 改为
+ `- ./prometheus_push.yml:/etc/prometheus/prometheus.yml`，然后重新启动服务。
+
+### 步骤 1: 启动监控服务栈
+
+首先，启动 Grafana, Prometheus 和 Pushgateway 服务。我们使用 `docker-compose` 来一键完成。
+
+```bash
+# 进入 metrics 目录
+cd metrics
+# 以后台模式启动所有监控服务
+docker-compose up -d
+```
+
+您现在可以通过以下地址访问各个服务的 Web UI：
+
+- **Grafana**: `http://localhost:3000`
+- **Prometheus**: `http://localhost:9090`
+- **Pushgateway**: `http://localhost:9091`
+
+### 步骤 2: 启动 Dubbo-Go 服务端
+
+在metrics目录，新开一个终端窗口，运行服务端程序。
+
+```bash
+go run ./go-server/cmd/main.go
+```
+
+您会看到服务端成功启动并注册服务的日志。
+
+### 步骤 3: 启动 Dubbo-Go 客户端
+
+在metrics目录，再次新开一个终端窗口，运行客户端程序。客户端会循环调用服务端的方法，并且会随机失败，从而产生监控指标。
+
+```bash
+go run ./go-client/cmd/main.go
+```
+
+客户端将开始输出调用结果，同时将监控指标推送到 Pushgateway。您可以在 Pushgateway 的 UI
(`http://localhost:9091/metrics`)
+上看到推送上来的指标。
+
+### 步骤 4: 配置 Grafana 并导入大盘
+
+现在，所有服务都已运行，我们来配置 Grafana 以展示数据。
+
+#### 4.1. 添加 Prometheus 数据源
+
+1. 打开 Grafana 网站：[`http://localhost:3000`](http://localhost:3000) (默认用户名/密码:
`admin`/`admin`)。
+2. 在左侧菜单中，导航至 **Home -> Connections -> Data sources**。
+3. 点击 **【Add new data source】** 按钮。
+4. 选择 **Prometheus**。
+5. 在 **Prometheus server URL** 字段中，输入 `http://host.docker.internal:9090`。
+ > **Note**: `host.docker.internal` 是一个特殊的 DNS 名称，它允许 Docker 容器（如
Grafana）访问宿主机的网络，您可以根据实际情况进行配置。
+6. 点击底部的 **【Save & test】** 按钮，您应该会看到 "Data source is working" 的成功提示。
+
+#### 4.2. 导入 Dubbo 监控大盘
+
+1. 在左侧菜单中，导航至 **Home -> Dashboards**。
+2. 点击右上角的 **【New】** -> **【Import】**。
+3. 将 `grafana.json` 的内容复制到 **Import via panel json** 文本框中，或者点击 **Upload JSON
file** 按钮上传 `grafana.json` 文件。
+4. 在下一个页面中，确保为大盘选择我们刚刚创建的 Prometheus 数据源。
+5. 点击 **【Import】** 按钮。
+
+### 步骤 5: 查看监控大盘
+
+导入成功后，您将看到一个完整的 Dubbo 可观测性大盘！面板中的数据（如QPS、成功率、延迟等）会随着客户端的持续调用而动态更新。
+
+
+
+尽情使用吧！
+
+## 常见问题 (Troubleshooting)
+
+- **Grafana 大盘显示 "No Data"**
+ - 请确认 Prometheus 数据源的 URL (`http://host.docker.internal:9090`) 是否正确且测试连接成功。
+ - 访问 Prometheus UI (`http://localhost:9090`)，在 `Status -> Targets` 页面检查
`pushgateway` 任务是否为 **UP** 状态。
+ - 在 Prometheus 的查询栏中输入 `dubbo_consumer_requests_succeed_total`，确认能查询到数据。
+
+- **`host.docker.internal` 无法连接**
+ - `host.docker.internal` 是 Docker 的内置功能，如果该地址无法访问，请将
`metrics/prometheus.yml`
+ 中的Ip地址以及Grafana的数据源地址换为实际的Ip地址。
+ 好的，这是您提供内容的中文翻译。
+
+-----
+
+## 部署到 Kubernetes
+
+#### kube-prometheus
+
+在 Kubernetes (k8s) 中安装 prometheus，请参考
[kube-prometheus](https://github.com/prometheus-operator/kube-prometheus) 项目。
+
+将 `prometheus-service.yaml` 的服务类型（type）设置为 `NodePort`。
+
+1. 将 `dubboPodMoitor.yaml` 文件添加到 `kube-prometheus` 的 `manifests` 目录下，内容如下：
+
+ ```yaml
+ apiVersion: monitoring.coreos.com/v1
+ kind: PodMonitor
+ metadata:
+ name: podmonitor
+ labels:
+ app: podmonitor
+ namespace: monitoring
+ spec:
+ namespaceSelector:
+ matchNames:
+ - dubbo-system
+ selector:
+ matchLabels:
+ app-type: dubbo
+ podMetricsEndpoints:
+ - port: metrics # 引用 dubbo-app 的端口名称 metrics
+ path: /prometheus
+ ---
+ # 权限控制 (RBAC)
+ apiVersion: rbac.authorization.k8s.io/v1
+ kind: Role
+ metadata:
+ namespace: dubbo-system
+ name: pod-reader
+ rules:
+ - apiGroups: [ "" ]
+ resources: [ "pods" ]
+ verbs: [ "get", "list", "watch" ]
+
+ ---
+ # 权限控制 (RBAC)
+ apiVersion: rbac.authorization.k8s.io/v1
+ kind: RoleBinding
+ metadata:
+ name: pod-reader-binding
+ namespace: dubbo-system
+ roleRef:
+ apiGroup: rbac.authorization.k8s.io
+ kind: Role
+ name: pod-reader
+ subjects:
+ - kind: ServiceAccount
+ name: prometheus-k8s
+ namespace: monitoring
+ ```
+
+2. 执行 `kubectl apply -f Deployment.yaml`
+
+3. 打开 Prometheus 的网页界面，例如 `http://localhost:9090/targets`
\ No newline at end of file
diff --git a/metrics/README_zn.md b/metrics/README_zn.md
deleted file mode 100644
index 6df0aaff..00000000
--- a/metrics/README_zn.md
+++ /dev/null
@@ -1,141 +0,0 @@
-# dubbo-go 的度量指标
-
-这个示例演示了如何在 RPC 框架 dubbo-go
使用度量指标。更详细的说明请参考我们官网的[快速开始](https://cn.dubbo.apache.org/zh-cn/overview/mannual/golang-sdk/quickstart/)
-
-## 目录
-
-- server/main.go - 定义了服务，处理程序和 RPC 服务器的主程序。
-- client/main.go - 是 RPC 客户端。
-- proto - 包含了 API 的 protobuf 定义。
-
-## 如何运行
-
-### 运行服务端
-```shell
-go run ./go-server/cmd/main.go
-```
-
-测试一下服务端是否按照预期工作：
-```shell
-curl \
- --header "Content-Type: application/json" \
- --data '{"name": "Dubbo"}' \
- http://localhost:20000/greet.GreetService/Greet
-```
-
-### 运行客户端
-```shell
-go run ./go-client/cmd/main.go
-```
-
-## 部署到本地
-安装 prometheus 并打开 prometheus 配置文件 `prometheus.yml`，配置如下：
-
-```yaml
-global:
- evaluation_interval: 15s
- scrape_interval: 15s
-scrape_configs:
-- job_name: dubbo-provider
- scrape_interval: 15s
- scrape_timeout: 5s
- metrics_path: /prometheus
- static_configs:
- - targets: ['localhost:9099']
-- job_name: dubbo-consumer
- scrape_interval: 15s
- scrape_timeout: 5s
- metrics_path: /prometheus
- static_configs:
- - targets: ['localhost:9097']
-```
-
-安装 grafana 并打开 grafana 的 web 页面，如 `localhost:3000`
-
-打开【Home / Connections / Data sources】
-
-点击【Add new data source】
-
-选择 Prometheus
-
-输入【Prometheus server URL】（比如 `http://localhost:9090`）然后点击【Save & test】
-
-
-
-打开【Home / Dashboards】然后点击【New】【import】并输入 19294 点击加载
-
-
-
-如果你的 Grafana 无法访问互联网，可以访问
`https://grafana.com/grafana/dashboards/19294-dubbo-observability/` 并点击
【Download JSON】
-
-粘贴 JSON
-
-
-
-
-
-点击【Import】按钮你将看到 Dubbo 可观察性仪表盘，尽情享受吧！
-
-
-
-## 部署到 Kubernetes
-
-#### kube-prometheus
-
-在 K8s 中安装 prometheus
[kube-prometheus](https://github.com/prometheus-operator/kube-prometheus)
-
-将 `prometheus-service.yaml` 中的类型设置为 NodePort
-
-1. 将 `dubboPodMoitor.yaml` 添加到 `kube-prometheus` 的 `manifests` 目录下，内容如下：
- ```yaml
-apiVersion: monitoring.coreos.com/v1
-kind: PodMonitor
-metadata:
- name: podmonitor
- labels:
- app: podmonitor
- namespace: monitoring
-spec:
- namespaceSelector:
- matchNames:
- - dubbo-system
- selector:
- matchLabels:
- app-type: dubbo
- podMetricsEndpoints:
- - port: metrics # 引用 dubbo-app 用于暴露指标的端口名
- path: /prometheus
----
-# rbac
-apiVersion: rbac.authorization.k8s.io/v1
-kind: Role
-metadata:
- namespace: dubbo-system
- name: pod-reader
-rules:
- - apiGroups: [""]
- resources: ["pods"]
- verbs: ["get", "list", "watch"]
-
----
-# rbac
-apiVersion: rbac.authorization.k8s.io/v1
-kind: RoleBinding
-metadata:
- name: pod-reader-binding
- namespace: dubbo-system
-roleRef:
- apiGroup: rbac.authorization.k8s.io
- kind: Role
- name: pod-reader
-subjects:
- - kind: ServiceAccount
- name: prometheus-k8s
- namespace: monitoring
-```
-
-2. `kubectl apply -f Deployment.yaml`
-
-3. 打开 Prometheus 网页，如 http://localhost:9090/targets
- 
-
diff --git a/metrics/assert/dashboard.png b/metrics/assert/dashboard.png
deleted file mode 100644
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diff --git a/metrics/assert/datasource.png b/metrics/assert/datasource.png
deleted file mode 100644
index d19e74b8..00000000
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diff --git a/metrics/assert/grafana.png b/metrics/assert/grafana.png
new file mode 100644
index 00000000..e7f43634
Binary files /dev/null and b/metrics/assert/grafana.png differ
diff --git a/metrics/assert/import-datasource.png
b/metrics/assert/import-datasource.png
deleted file mode 100644
index 333d6b9e..00000000
Binary files a/metrics/assert/import-datasource.png and /dev/null differ
diff --git a/metrics/assert/import-json.png b/metrics/assert/import-json.png
deleted file mode 100644
index 025eb689..00000000
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diff --git a/metrics/assert/import.png b/metrics/assert/import.png
deleted file mode 100644
index 41d3913b..00000000
Binary files a/metrics/assert/import.png and /dev/null differ
diff --git a/metrics/assert/podmonitor.png b/metrics/assert/podmonitor.png
deleted file mode 100644
index f1f7ec9a..00000000
Binary files a/metrics/assert/podmonitor.png and /dev/null differ
diff --git a/metrics/docker-compose.yml b/metrics/docker-compose.yml
new file mode 100644
index 00000000..b6be2f0a
--- /dev/null
+++ b/metrics/docker-compose.yml
@@ -0,0 +1,45 @@
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You 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.
+
+services:
+ zookeeper:
+ image: zookeeper
+ container_name: zookeeper
+ restart: unless-stopped
+ ports:
+ - "2181:2181"
+
+ grafana:
+ image: grafana/grafana-enterprise
+ container_name: grafana
+ restart: unless-stopped
+ ports:
+ - "3000:3000"
+
+ prometheus:
+ image: prom/prometheus
+ container_name: prometheus
+ restart: unless-stopped
+ ports:
+ - "9090:9090"
+ volumes:
+ - ./prometheus_pull.yml:/etc/prometheus/prometheus.yml
+
+ pushgateway:
+ image: prom/pushgateway
+ container_name: pushgateway
+ restart: unless-stopped
+ ports:
+ - "9091:9091"
diff --git a/metrics/go-client/cmd/main.go b/metrics/go-client/cmd/main.go
index 799d1318..543a20bc 100644
--- a/metrics/go-client/cmd/main.go
+++ b/metrics/go-client/cmd/main.go
@@ -19,7 +19,6 @@ package main
import (
"context"
- "os"
"time"
)
@@ -37,13 +36,10 @@ import (
)
func main() {
- zookeeper := os.Getenv("ZOOKEEPER_ADDRESS")
- if zookeeper == "" {
- zookeeper = "localhost"
- }
ins, err := dubbo.NewInstance(
dubbo.WithRegistry(
- registry.WithAddress("zookeeper://"+zookeeper+":2181"),
+ registry.WithZookeeper(),
+ registry.WithAddress("127.0.0.1:2181"),
),
dubbo.WithMetrics(
metrics.WithEnabled(),
diff --git a/metrics/grafana.json b/metrics/grafana.json
new file mode 100644
index 00000000..12a4dca3
--- /dev/null
+++ b/metrics/grafana.json
@@ -0,0 +1,1143 @@
+{
+ "annotations": {
+ "list": [
+ {
+ "builtIn": 1,
+ "datasource": {
+ "type": "grafana",
+ "uid": "grafana"
+ },
+ "enable": true,
+ "hide": true,
+ "iconColor": "rgba(0, 211, 255, 1)",
+ "name": "Annotations & Alerts",
+ "type": "dashboard"
+ }
+ ]
+ },
+ "description": "Dubbo 服务健康状态监控大盘。流量 (Traffic), 错误 (Errors), 延迟 (Latency)
和饱和度 (Saturation)。",
+ "editable": true,
+ "fiscalYearStartMonth": 0,
+ "graphTooltip": 0,
+ "id": 4,
+ "links": [],
+ "panels": [
+ {
+ "collapsed": false,
+ "gridPos": {
+ "h": 1,
+ "w": 24,
+ "x": 0,
+ "y": 0
+ },
+ "id": 1000,
+ "panels": [],
+ "title": "关键指标概览 (Key Metrics Overview)",
+ "type": "row"
+ },
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "fieldConfig": {
+ "defaults": {
+ "color": {
+ "mode": "thresholds"
+ },
+ "mappings": [],
+ "thresholds": {
+ "mode": "absolute",
+ "steps": [
+ {
+ "color": "red",
+ "value": 0
+ },
+ {
+ "color": "green",
+ "value": 1
+ }
+ ]
+ },
+ "unit": "none"
+ },
+ "overrides": []
+ },
+ "gridPos": {
+ "h": 5,
+ "w": 4,
+ "x": 0,
+ "y": 1
+ },
+ "id": 1001,
+ "options": {
+ "colorMode": "value",
+ "graphMode": "none",
+ "justifyMode": "auto",
+ "orientation": "auto",
+ "percentChangeColorMode": "standard",
+ "reduceOptions": {
+ "calcs": [
+ "lastNotNull"
+ ],
+ "fields": "",
+ "values": false
+ },
+ "showPercentChange": false,
+ "textMode": "auto",
+ "wideLayout": true
+ },
+ "pluginVersion": "12.2.0-16791878397",
+ "targets": [
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "expr":
"count(dubbo_application_info_total{application_name=~\"$application_name\",
instance=~\"$instance\"})",
+ "legendFormat": "在线实例 (online instances)",
+ "refId": "A"
+ }
+ ],
+ "title": "在线实例数 (Instances)",
+ "type": "stat"
+ },
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "fieldConfig": {
+ "defaults": {
+ "color": {
+ "mode": "thresholds"
+ },
+ "decimals": 2,
+ "mappings": [],
+ "thresholds": {
+ "mode": "absolute",
+ "steps": [
+ {
+ "color": "green",
+ "value": 0
+ }
+ ]
+ },
+ "unit": "reqps"
+ },
+ "overrides": []
+ },
+ "gridPos": {
+ "h": 5,
+ "w": 5,
+ "x": 4,
+ "y": 1
+ },
+ "id": 1002,
+ "options": {
+ "colorMode": "value",
+ "graphMode": "area",
+ "justifyMode": "auto",
+ "orientation": "auto",
+ "percentChangeColorMode": "standard",
+ "reduceOptions": {
+ "calcs": [
+ "lastNotNull"
+ ],
+ "fields": "",
+ "values": false
+ },
+ "showPercentChange": false,
+ "textMode": "auto",
+ "wideLayout": true
+ },
+ "pluginVersion": "12.2.0-16791878397",
+ "targets": [
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "expr":
"sum(rate(dubbo_provider_requests_total{application_name=~\"$application_name\",
instance=~\"$instance\"}[$__rate_interval])) +
sum(rate(dubbo_consumer_requests_total{application_name=~\"$application_name\",
instance=~\"$instance\"}[$__rate_interval])) or vector(0)",
+ "legendFormat": "总QPS (Total QPS)",
+ "refId": "A"
+ }
+ ],
+ "title": "总 QPS (Total QPS)",
+ "type": "stat"
+ },
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "fieldConfig": {
+ "defaults": {
+ "color": {
+ "mode": "thresholds"
+ },
+ "decimals": 3,
+ "mappings": [],
+ "max": 100,
+ "min": 0,
+ "thresholds": {
+ "mode": "absolute",
+ "steps": [
+ {
+ "color": "red",
+ "value": 0
+ },
+ {
+ "color": "orange",
+ "value": 99
+ },
+ {
+ "color": "green",
+ "value": 99.9
+ }
+ ]
+ },
+ "unit": "percent"
+ },
+ "overrides": []
+ },
+ "gridPos": {
+ "h": 5,
+ "w": 5,
+ "x": 9,
+ "y": 1
+ },
+ "id": 1003,
+ "options": {
+ "colorMode": "value",
+ "graphMode": "none",
+ "justifyMode": "auto",
+ "orientation": "auto",
+ "percentChangeColorMode": "standard",
+ "reduceOptions": {
+ "calcs": [
+ "lastNotNull"
+ ],
+ "fields": "",
+ "values": false
+ },
+ "showPercentChange": false,
+ "textMode": "auto",
+ "wideLayout": true
+ },
+ "pluginVersion": "12.2.0-16791878397",
+ "targets": [
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "expr": "(1 -
(sum(rate(dubbo_provider_requests_failed_total{application_name=~\"$application_name\",
instance=~\"$instance\"}[$__rate_interval])) +
sum(rate(dubbo_consumer_requests_failed_total{application_name=~\"$application_name\",
instance=~\"$instance\"}[$__rate_interval]))) /
(sum(rate(dubbo_provider_requests_total{application_name=~\"$application_name\",
instance=~\"$instance\"}[$__rate_interval])) +
sum(rate(dubbo_consumer_requests_total{application_name=~\"$applicatio [...]
+ "legendFormat": "成功率 (Success Rate)",
+ "refId": "A"
+ }
+ ],
+ "title": "总体成功率 (Total Success Rate)",
+ "type": "stat"
+ },
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "fieldConfig": {
+ "defaults": {
+ "color": {
+ "mode": "thresholds"
+ },
+ "decimals": 2,
+ "mappings": [],
+ "thresholds": {
+ "mode": "absolute",
+ "steps": [
+ {
+ "color": "green",
+ "value": 0
+ },
+ {
+ "color": "orange",
+ "value": 200
+ },
+ {
+ "color": "red",
+ "value": 500
+ }
+ ]
+ },
+ "unit": "ms"
+ },
+ "overrides": []
+ },
+ "gridPos": {
+ "h": 5,
+ "w": 5,
+ "x": 14,
+ "y": 1
+ },
+ "id": 1004,
+ "options": {
+ "colorMode": "value",
+ "graphMode": "area",
+ "justifyMode": "auto",
+ "orientation": "auto",
+ "percentChangeColorMode": "standard",
+ "reduceOptions": {
+ "calcs": [
+ "lastNotNull"
+ ],
+ "fields": "",
+ "values": false
+ },
+ "showPercentChange": false,
+ "textMode": "auto",
+ "wideLayout": true
+ },
+ "pluginVersion": "12.2.0-16791878397",
+ "targets": [
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "editorMode": "code",
+ "expr":
"max(dubbo_provider_rt_milliseconds_p99{application_name=~\"$application_name\",
instance=~\"$instance\"}) or vector(0)",
+ "legendFormat": "P99 Latency",
+ "range": true,
+ "refId": "A"
+ }
+ ],
+ "title": "Provider P99 延迟 (Provider P99 Latency)",
+ "type": "stat"
+ },
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "fieldConfig": {
+ "defaults": {
+ "color": {
+ "mode": "thresholds"
+ },
+ "mappings": [],
+ "thresholds": {
+ "mode": "absolute",
+ "steps": [
+ {
+ "color": "green",
+ "value": 0
+ }
+ ]
+ },
+ "unit": "none"
+ },
+ "overrides": []
+ },
+ "gridPos": {
+ "h": 5,
+ "w": 5,
+ "x": 19,
+ "y": 1
+ },
+ "id": 1005,
+ "options": {
+ "colorMode": "value",
+ "graphMode": "none",
+ "justifyMode": "auto",
+ "orientation": "auto",
+ "percentChangeColorMode": "standard",
+ "reduceOptions": {
+ "calcs": [
+ "lastNotNull"
+ ],
+ "fields": "",
+ "values": false
+ },
+ "showPercentChange": false,
+ "textMode": "auto",
+ "wideLayout": true
+ },
+ "pluginVersion": "12.2.0-16791878397",
+ "targets": [
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "expr":
"avg(dubbo_thread_pool_active_size{application_name=~\"$application_name\",
instance=~\"$instance\"})",
+ "legendFormat": "活跃线程 (Active Threads)",
+ "refId": "A"
+ }
+ ],
+ "title": "平均活跃线程数 (Avg Active Threads)",
+ "type": "stat"
+ },
+ {
+ "collapsed": false,
+ "gridPos": {
+ "h": 1,
+ "w": 24,
+ "x": 0,
+ "y": 6
+ },
+ "id": 2000,
+ "panels": [],
+ "title": "流量与成功率 (Traffic & Success Rate)",
+ "type": "row"
+ },
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "fieldConfig": {
+ "defaults": {
+ "color": {
+ "mode": "palette-classic"
+ },
+ "custom": {
+ "axisBorderShow": false,
+ "axisCenteredZero": false,
+ "axisColorMode": "text",
+ "axisLabel": "",
+ "axisPlacement": "auto",
+ "barAlignment": 0,
+ "barWidthFactor": 0.6,
+ "drawStyle": "line",
+ "fillOpacity": 10,
+ "gradientMode": "opacity",
+ "hideFrom": {
+ "legend": false,
+ "tooltip": false,
+ "viz": false
+ },
+ "insertNulls": false,
+ "lineInterpolation": "smooth",
+ "lineWidth": 1,
+ "pointSize": 5,
+ "scaleDistribution": {
+ "type": "linear"
+ },
+ "showPoints": "auto",
+ "spanNulls": false,
+ "stacking": {
+ "group": "A",
+ "mode": "none"
+ },
+ "thresholdsStyle": {
+ "mode": "off"
+ }
+ },
+ "mappings": [],
+ "thresholds": {
+ "mode": "absolute",
+ "steps": [
+ {
+ "color": "green",
+ "value": 0
+ },
+ {
+ "color": "red",
+ "value": 80
+ }
+ ]
+ },
+ "unit": "reqps"
+ },
+ "overrides": []
+ },
+ "gridPos": {
+ "h": 8,
+ "w": 12,
+ "x": 0,
+ "y": 7
+ },
+ "id": 2001,
+ "options": {
+ "legend": {
+ "calcs": [
+ "mean",
+ "lastNotNull"
+ ],
+ "displayMode": "table",
+ "placement": "bottom",
+ "showLegend": true
+ },
+ "tooltip": {
+ "hideZeros": false,
+ "mode": "multi",
+ "sort": "none"
+ }
+ },
+ "pluginVersion": "12.2.0-16791878397",
+ "targets": [
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "expr": "sum by (interface)
(rate(dubbo_provider_requests_total{application_name=~\"$application_name\",
instance=~\"$instance\",
interface=~\"$provider_interface\"}[$__rate_interval]))",
+ "legendFormat": "P: {{interface}}",
+ "refId": "A"
+ },
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "expr": "sum by (interface)
(rate(dubbo_consumer_requests_total{application_name=~\"$application_name\",
instance=~\"$instance\",
interface=~\"$consumer_interface\"}[$__rate_interval]))",
+ "legendFormat": "C: {{interface}}",
+ "refId": "B"
+ }
+ ],
+ "title": "QPS",
+ "type": "timeseries"
+ },
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "fieldConfig": {
+ "defaults": {
+ "color": {
+ "mode": "palette-classic"
+ },
+ "custom": {
+ "axisBorderShow": false,
+ "axisCenteredZero": false,
+ "axisColorMode": "text",
+ "axisLabel": "成功率 (Success Rate)",
+ "axisPlacement": "right",
+ "barAlignment": 0,
+ "barWidthFactor": 0.6,
+ "drawStyle": "line",
+ "fillOpacity": 5,
+ "gradientMode": "scheme",
+ "hideFrom": {
+ "legend": false,
+ "tooltip": false,
+ "viz": false
+ },
+ "insertNulls": false,
+ "lineInterpolation": "smooth",
+ "lineWidth": 1,
+ "pointSize": 5,
+ "scaleDistribution": {
+ "type": "linear"
+ },
+ "showPoints": "auto",
+ "spanNulls": false,
+ "stacking": {
+ "group": "A",
+ "mode": "none"
+ },
+ "thresholdsStyle": {
+ "mode": "off"
+ }
+ },
+ "mappings": [],
+ "max": 100,
+ "min": 0,
+ "thresholds": {
+ "mode": "absolute",
+ "steps": [
+ {
+ "color": "green",
+ "value": 0
+ },
+ {
+ "color": "red",
+ "value": 80
+ }
+ ]
+ },
+ "unit": "percent"
+ },
+ "overrides": []
+ },
+ "gridPos": {
+ "h": 8,
+ "w": 12,
+ "x": 12,
+ "y": 7
+ },
+ "id": 2002,
+ "options": {
+ "legend": {
+ "calcs": [
+ "mean",
+ "lastNotNull"
+ ],
+ "displayMode": "table",
+ "placement": "bottom",
+ "showLegend": true
+ },
+ "tooltip": {
+ "hideZeros": false,
+ "mode": "multi",
+ "sort": "none"
+ }
+ },
+ "pluginVersion": "12.2.0-16791878397",
+ "targets": [
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "expr": "(1 - sum by(interface)
(rate(dubbo_provider_requests_failed_total{application_name=~\"$application_name\",
instance=~\"$instance\",
interface=~\"$provider_interface\"}[$__rate_interval])) / sum by(interface)
(rate(dubbo_provider_requests_total{application_name=~\"$application_name\",
instance=~\"$instance\",
interface=~\"$provider_interface\"}[$__rate_interval]))) * 100",
+ "legendFormat": "P: {{interface}}",
+ "refId": "A"
+ },
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "expr": "(1 - sum by(interface)
(rate(dubbo_consumer_requests_failed_total{application_name=~\"$application_name\",
instance=~\"$instance\",
interface=~\"$consumer_interface\"}[$__rate_interval])) / sum by(interface)
(rate(dubbo_consumer_requests_total{application_name=~\"$application_name\",
instance=~\"$instance\",
interface=~\"$consumer_interface\"}[$__rate_interval]))) * 100",
+ "legendFormat": "C: {{interface}}",
+ "refId": "B"
+ }
+ ],
+ "title": "请求成功率 (Request Success Rate)",
+ "type": "timeseries"
+ },
+ {
+ "collapsed": false,
+ "gridPos": {
+ "h": 1,
+ "w": 24,
+ "x": 0,
+ "y": 15
+ },
+ "id": 3000,
+ "panels": [],
+ "title": "延迟分析 (Latency Analysis)",
+ "type": "row"
+ },
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "fieldConfig": {
+ "defaults": {
+ "color": {
+ "mode": "palette-classic"
+ },
+ "custom": {
+ "axisBorderShow": false,
+ "axisCenteredZero": false,
+ "axisColorMode": "text",
+ "axisLabel": "",
+ "axisPlacement": "auto",
+ "barAlignment": 0,
+ "barWidthFactor": 0.6,
+ "drawStyle": "line",
+ "fillOpacity": 0,
+ "gradientMode": "none",
+ "hideFrom": {
+ "legend": false,
+ "tooltip": false,
+ "viz": false
+ },
+ "insertNulls": false,
+ "lineInterpolation": "linear",
+ "lineWidth": 2,
+ "pointSize": 5,
+ "scaleDistribution": {
+ "type": "linear"
+ },
+ "showPoints": "auto",
+ "spanNulls": false,
+ "stacking": {
+ "group": "A",
+ "mode": "none"
+ },
+ "thresholdsStyle": {
+ "mode": "off"
+ }
+ },
+ "mappings": [],
+ "thresholds": {
+ "mode": "absolute",
+ "steps": [
+ {
+ "color": "green",
+ "value": 0
+ },
+ {
+ "color": "red",
+ "value": 80
+ }
+ ]
+ },
+ "unit": "ms"
+ },
+ "overrides": []
+ },
+ "gridPos": {
+ "h": 9,
+ "w": 24,
+ "x": 0,
+ "y": 16
+ },
+ "id": 3001,
+ "options": {
+ "legend": {
+ "calcs": [
+ "mean",
+ "max",
+ "lastNotNull"
+ ],
+ "displayMode": "table",
+ "placement": "bottom",
+ "showLegend": true
+ },
+ "tooltip": {
+ "hideZeros": false,
+ "mode": "multi",
+ "sort": "none"
+ }
+ },
+ "pluginVersion": "12.2.0-16791878397",
+ "targets": [
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "expr": "max by (interface)
(dubbo_provider_rt_milliseconds_p99{application_name=~\"$application_name\",
instance=~\"$instance\", interface=~\"$provider_interface\"})",
+ "legendFormat": "P99 - P: {{interface}}",
+ "refId": "A"
+ },
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "expr": "max by (interface)
(dubbo_provider_rt_milliseconds{application_name=~\"$application_name\",
instance=~\"$instance\", interface=~\"$provider_interface\"})",
+ "legendFormat": "Avg - P: {{interface}}",
+ "refId": "B"
+ },
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "expr": "max by (interface)
(dubbo_consumer_rt_milliseconds_p99{application_name=~\"$application_name\",
instance=~\"$instance\", interface=~\"$consumer_interface\"})",
+ "legendFormat": "P99 - C: {{interface}}",
+ "refId": "C"
+ },
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "expr": "max by (interface)
(dubbo_consumer_rt_milliseconds{application_name=~\"$application_name\",
instance=~\"$instance\", interface=~\"$consumer_interface\"})",
+ "legendFormat": "Avg - C: {{interface}}",
+ "refId": "D"
+ }
+ ],
+ "title": "服务延迟 (RT)",
+ "type": "timeseries"
+ },
+ {
+ "collapsed": false,
+ "gridPos": {
+ "h": 1,
+ "w": 24,
+ "x": 0,
+ "y": 25
+ },
+ "id": 4000,
+ "panels": [],
+ "title": "饱和度与资源 (Saturation & Resources)",
+ "type": "row"
+ },
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "fieldConfig": {
+ "defaults": {
+ "color": {
+ "mode": "palette-classic"
+ },
+ "custom": {
+ "axisBorderShow": false,
+ "axisCenteredZero": false,
+ "axisColorMode": "text",
+ "axisLabel": "",
+ "axisPlacement": "auto",
+ "barAlignment": 0,
+ "barWidthFactor": 0.6,
+ "drawStyle": "line",
+ "fillOpacity": 20,
+ "gradientMode": "opacity",
+ "hideFrom": {
+ "legend": false,
+ "tooltip": false,
+ "viz": false
+ },
+ "insertNulls": false,
+ "lineInterpolation": "smooth",
+ "lineWidth": 1,
+ "pointSize": 5,
+ "scaleDistribution": {
+ "type": "linear"
+ },
+ "showPoints": "auto",
+ "spanNulls": false,
+ "stacking": {
+ "group": "A",
+ "mode": "none"
+ },
+ "thresholdsStyle": {
+ "mode": "off"
+ }
+ },
+ "mappings": [],
+ "thresholds": {
+ "mode": "absolute",
+ "steps": [
+ {
+ "color": "green",
+ "value": 0
+ },
+ {
+ "color": "red",
+ "value": 80
+ }
+ ]
+ },
+ "unit": "none"
+ },
+ "overrides": []
+ },
+ "gridPos": {
+ "h": 9,
+ "w": 14,
+ "x": 0,
+ "y": 26
+ },
+ "id": 4001,
+ "options": {
+ "legend": {
+ "calcs": [
+ "mean",
+ "max",
+ "lastNotNull"
+ ],
+ "displayMode": "table",
+ "placement": "bottom",
+ "showLegend": true
+ },
+ "tooltip": {
+ "hideZeros": false,
+ "mode": "multi",
+ "sort": "none"
+ }
+ },
+ "pluginVersion": "12.2.0-16791878397",
+ "targets": [
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "expr": "avg by (thread_pool_name)
(dubbo_thread_pool_active_size{application_name=~\"$application_name\",
instance=~\"$instance\"})",
+ "legendFormat": "Active - {{thread_pool_name}}",
+ "refId": "A"
+ },
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "expr": "avg by (thread_pool_name)
(dubbo_thread_pool_thread_count{application_name=~\"$application_name\",
instance=~\"$instance\"})",
+ "legendFormat": "Total - {{thread_pool_name}}",
+ "refId": "B"
+ }
+ ],
+ "title": "线程池状态 (Thread Pool Status)",
+ "type": "timeseries"
+ },
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "fieldConfig": {
+ "defaults": {
+ "color": {
+ "mode": "palette-classic"
+ },
+ "custom": {
+ "hideFrom": {
+ "legend": false,
+ "tooltip": false,
+ "viz": false
+ }
+ },
+ "mappings": []
+ },
+ "overrides": []
+ },
+ "gridPos": {
+ "h": 9,
+ "w": 5,
+ "x": 14,
+ "y": 26
+ },
+ "id": 4002,
+ "options": {
+ "displayLabels": [
+ "percent",
+ "name"
+ ],
+ "legend": {
+ "displayMode": "list",
+ "placement": "bottom",
+ "showLegend": true
+ },
+ "pieType": "pie",
+ "reduceOptions": {
+ "calcs": [
+ "lastNotNull"
+ ],
+ "fields": "",
+ "values": false
+ },
+ "tooltip": {
+ "hideZeros": false,
+ "mode": "single",
+ "sort": "none"
+ }
+ },
+ "pluginVersion": "12.2.0-16791878397",
+ "targets": [
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "expr": "count by (instance)
(dubbo_application_info_total{application_name=~\"$application_name\",
instance=~\"$instance\"})",
+ "legendFormat": "{{instance}}",
+ "refId": "A"
+ }
+ ],
+ "title": "实例分布 (Instance Distribution)",
+ "type": "piechart"
+ },
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "fieldConfig": {
+ "defaults": {
+ "color": {
+ "mode": "palette-classic"
+ },
+ "custom": {
+ "hideFrom": {
+ "legend": false,
+ "tooltip": false,
+ "viz": false
+ }
+ },
+ "mappings": []
+ },
+ "overrides": []
+ },
+ "gridPos": {
+ "h": 9,
+ "w": 5,
+ "x": 19,
+ "y": 26
+ },
+ "id": 4003,
+ "options": {
+ "displayLabels": [
+ "percent",
+ "name"
+ ],
+ "legend": {
+ "displayMode": "list",
+ "placement": "bottom",
+ "showLegend": true
+ },
+ "pieType": "donut",
+ "reduceOptions": {
+ "calcs": [
+ "lastNotNull"
+ ],
+ "fields": "",
+ "values": false
+ },
+ "tooltip": {
+ "hideZeros": false,
+ "mode": "single",
+ "sort": "none"
+ }
+ },
+ "pluginVersion": "12.2.0-16791878397",
+ "targets": [
+ {
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "expr": "count by (application_version)
(dubbo_application_info_total{application_name=~\"$application_name\",
instance=~\"$instance\"})",
+ "legendFormat": "{{application_version}}",
+ "refId": "A"
+ }
+ ],
+ "title": "版本分布 (Version Distribution)",
+ "type": "piechart"
+ }
+ ],
+ "preload": false,
+ "refresh": "30s",
+ "schemaVersion": 41,
+ "tags": [],
+ "templating": {
+ "list": [
+ {
+ "current": {
+ "text": "prometheus",
+ "value": "deud2hwrpsi68b"
+ },
+ "includeAll": false,
+ "label": "数据源 (Data Source)",
+ "name": "datasource",
+ "options": [],
+ "query": "prometheus",
+ "refresh": 1,
+ "regex": "",
+ "type": "datasource"
+ },
+ {
+ "allValue": ".*",
+ "current": {
+ "text": "All",
+ "value": [
+ "$__all"
+ ]
+ },
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "definition": "label_values(dubbo_application_info_total,
application_name)",
+ "includeAll": true,
+ "label": "应用名 (Application Name)",
+ "multi": true,
+ "name": "application_name",
+ "options": [],
+ "query": {
+ "query": "label_values(dubbo_application_info_total,
application_name)",
+ "refId": "StandardVariableQuery"
+ },
+ "refresh": 1,
+ "regex": "",
+ "type": "query"
+ },
+ {
+ "allValue": ".*",
+ "current": {
+ "text": "All",
+ "value": [
+ "$__all"
+ ]
+ },
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "definition":
"label_values(dubbo_application_info_total{application_name=~\"$application_name\"},
instance)",
+ "includeAll": true,
+ "label": "实例 (Instance)",
+ "multi": true,
+ "name": "instance",
+ "options": [],
+ "query": {
+ "query":
"label_values(dubbo_application_info_total{application_name=~\"$application_name\"},
instance)",
+ "refId": "StandardVariableQuery"
+ },
+ "refresh": 1,
+ "regex": "",
+ "type": "query"
+ },
+ {
+ "allValue": ".*",
+ "current": {
+ "text": "All",
+ "value": [
+ "$__all"
+ ]
+ },
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "definition":
"label_values(dubbo_provider_requests_total{application_name=~\"$application_name\",
instance=~\"$instance\"}, interface)",
+ "includeAll": true,
+ "label": "提供者接口 (Provider Interface)",
+ "multi": true,
+ "name": "provider_interface",
+ "options": [],
+ "query": {
+ "query":
"label_values(dubbo_provider_requests_total{application_name=~\"$application_name\",
instance=~\"$instance\"}, interface)",
+ "refId": "StandardVariableQuery"
+ },
+ "refresh": 1,
+ "regex": "",
+ "type": "query"
+ },
+ {
+ "allValue": ".*",
+ "current": {
+ "text": "All",
+ "value": [
+ "$__all"
+ ]
+ },
+ "datasource": {
+ "type": "prometheus",
+ "uid": "${datasource}"
+ },
+ "definition":
"label_values(dubbo_consumer_requests_total{application_name=~\"$application_name\",
instance=~\"$instance\"}, interface)",
+ "includeAll": true,
+ "label": "消费者接口 (Consumer Interface)",
+ "multi": true,
+ "name": "consumer_interface",
+ "options": [],
+ "query": {
+ "query":
"label_values(dubbo_consumer_requests_total{application_name=~\"$application_name\",
instance=~\"$instance\"}, interface)",
+ "refId": "StandardVariableQuery"
+ },
+ "refresh": 1,
+ "regex": "",
+ "type": "query"
+ }
+ ]
+ },
+ "time": {
+ "from": "now-30m",
+ "to": "now"
+ },
+ "timepicker": {},
+ "timezone": "browser",
+ "title": "Dubbo-go Observability",
+ "uid": "57be2306-5cef-4273-9311-ae905ea4cdec",
+ "version": 1
+}
\ No newline at end of file
diff --git a/metrics/prometheus_pull.yml b/metrics/prometheus_pull.yml
new file mode 100644
index 00000000..d2319179
--- /dev/null
+++ b/metrics/prometheus_pull.yml
@@ -0,0 +1,31 @@
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You 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.
+
+global:
+ evaluation_interval: 15s
+ scrape_interval: 15s
+scrape_configs:
+ - job_name: dubbo-provider
+ scrape_interval: 15s
+ scrape_timeout: 5s
+ metrics_path: /prometheus
+ static_configs:
+ - targets: ['host.docker.internal:9099']
+ - job_name: dubbo-consumer
+ scrape_interval: 15s
+ scrape_timeout: 5s
+ metrics_path: /prometheus
+ static_configs:
+ - targets: ['host.docker.internal:9097']
\ No newline at end of file
diff --git a/metrics/prometheus_push.yml b/metrics/prometheus_push.yml
new file mode 100644
index 00000000..e6104950
--- /dev/null
+++ b/metrics/prometheus_push.yml
@@ -0,0 +1,23 @@
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You 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.
+
+global:
+ evaluation_interval: 15s
+ scrape_interval: 15s
+scrape_configs:
+ - job_name: 'pushgateway'
+ static_configs:
+ - targets: [ 'host.docker.internal:9091' ] # Replace with your
Pushgateway's actual IP/hostname
+ honor_labels: true
