chore(inputs): update dashboard and doc for inputs

inputs/activemq/README.md

@@ -1,3 +1,13 @@
-# activemq
+# ActiveMQ
 
-ActiveMQ 当前可以使用 jolokia_agent 插件来监控，通过读取 jmx 数据的方式获取监控指标，配置文件可以参考：[activemq.toml](../../conf/input.jolokia_agent_misc/activemq.toml)
+ActiveMQ can be monitored using the `jolokia_agent` plugin, which retrieves metrics by reading JMX data. 
+
+For configuration details, please refer to: [activemq.toml](../../conf/input.jolokia_agent_misc/activemq.toml).
+
+## Metrics
+
+Once configured via the Jolokia Agent plugin, Categraf will export the following types of metrics:
+- **Broker Metrics**: e.g., `activemq_broker_TotalMessageCount`, `activemq_broker_TotalConsumerCount`
+- **Queue Metrics**: e.g., `activemq_queue_QueueSize`, `activemq_queue_ConsumerCount`
+- **Topic Metrics**: e.g., `activemq_topic_EnqueueCount`, `activemq_topic_DequeueCount`
+- **JVM Metrics**: Generic Java Runtime metrics such as Garbage Collection, Memory Heap, etc.

inputs/activemq/README_CN.md

@@ -0,0 +1,3 @@
+# activemq
+
+ActiveMQ 当前可以使用 jolokia_agent 插件来监控，通过读取 jmx 数据的方式获取监控指标，配置文件可以参考：[activemq.toml](../../conf/input.jolokia_agent_misc/activemq.toml)

inputs/activemq/dashboard.json

@@ -0,0 +1,142 @@
+{
+  "title": "ActiveMQ",
+  "uid": "16eab841",
+  "tags": [
+    "activemq"
+  ],
+  "timezone": "browser",
+  "schemaVersion": 30,
+  "panels": [
+    {
+      "title": "Total Message Count",
+      "type": "timeseries",
+      "gridPos": {
+        "x": 0,
+        "y": 0,
+        "w": 8,
+        "h": 8
+      },
+      "id": 1,
+      "targets": [
+        {
+          "expr": "activemq_broker_TotalMessageCount",
+          "legendFormat": "{{brokerName}}",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "title": "Total Consumer Count",
+      "type": "timeseries",
+      "gridPos": {
+        "x": 8,
+        "y": 0,
+        "w": 8,
+        "h": 8
+      },
+      "id": 2,
+      "targets": [
+        {
+          "expr": "activemq_broker_TotalConsumerCount",
+          "legendFormat": "{{brokerName}}",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "title": "Memory Percent Usage",
+      "type": "timeseries",
+      "gridPos": {
+        "x": 16,
+        "y": 0,
+        "w": 8,
+        "h": 8
+      },
+      "id": 3,
+      "targets": [
+        {
+          "expr": "activemq_broker_MemoryPercentUsage",
+          "legendFormat": "{{brokerName}}",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "title": "Queue Size",
+      "type": "timeseries",
+      "gridPos": {
+        "x": 12,
+        "y": 0,
+        "w": 12,
+        "h": 8
+      },
+      "id": 4,
+      "targets": [
+        {
+          "expr": "activemq_queue_QueueSize",
+          "legendFormat": "{{destinationName}}",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "title": "Queue Consumer Count",
+      "type": "timeseries",
+      "gridPos": {
+        "x": 0,
+        "y": 8,
+        "w": 12,
+        "h": 8
+      },
+      "id": 5,
+      "targets": [
+        {
+          "expr": "activemq_queue_ConsumerCount",
+          "legendFormat": "{{destinationName}}",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "title": "Topic Enqueue Count",
+      "type": "timeseries",
+      "gridPos": {
+        "x": 12,
+        "y": 8,
+        "w": 12,
+        "h": 8
+      },
+      "id": 6,
+      "targets": [
+        {
+          "expr": "activemq_topic_EnqueueCount",
+          "legendFormat": "{{destinationName}}",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "title": "Topic Dequeue Count",
+      "type": "timeseries",
+      "gridPos": {
+        "x": 0,
+        "y": 16,
+        "w": 12,
+        "h": 8
+      },
+      "id": 7,
+      "targets": [
+        {
+          "expr": "activemq_topic_DequeueCount",
+          "legendFormat": "{{destinationName}}",
+          "refId": "A"
+        }
+      ]
+    }
+  ],
+  "refresh": "1m",
+  "time": {
+    "from": "now-1h",
+    "to": "now"
+  }
+}

inputs/aliyun/README.md

@@ -24,6 +24,14 @@ RAM 用户授权。RAM 用户调用云监控 API 前，需要所属的阿里云
 
 4. 配置
 
+不同namespace附件label的权限点
+ - rds: 
+   - `rds:DescribeDBInstances`  `acs:rds:{#regionId}:{#accountId}:dbinstance/{#dbinstanceId}` [链接](https://next.api.aliyun.com/document/Rds/2014-08-15/DescribeDBInstances)
+   - `rds:ListTagResources` `acs:rds:{#regionId}:{#accountId}:dbinstance/{#dbinstanceId}` [链接](https://next.api.aliyun.com/document/Rds/2014-08-15/ListTagResources)
+ - polardb: `acs:DescribeDBClusters` `acs:polardb:*:*:dbcluster` [链接](https://help.aliyun.com/document_detail/118034.html?spm=a2c4g.98094.0.0)
+ - kvstore: `DescribeInstances` `acs:kvstore:$regionid:$accountid:instance/$instanceid` [链接](https://help.aliyun.com/apsara/enterprise/v_3_18_0/kvstore/enterprise-developer-guide/api-authentication-rules.html)
+ - ecs: `DescribeInstances` `acs:ecs:$regionid:$accountid:instance/*` [链接](https://help.aliyun.com/document_detail/25497.html?spm=a2c4g.25506.0.0)
+
 ```toml
 # # categraf采集周期，阿里云指标的粒度一般是60秒，建议设置不要少于60秒
 # interval = 60

inputs/amd_rocm_smi/README_CN.md

@@ -0,0 +1,53 @@
+# AMD ROCm System Management Interface (SMI) 采集插件
+
+该插件 fork 自 [telegraf/amd_rocm_smi](https://github.com/influxdata/telegraf/blob/master/plugins/inputs/amd_rocm_smi)
+
+此插件通过执行 [`rocm-smi`][1] 命令来获取 AMD GPU 的状态指标，包括显存使用、GPU 使用率、温度等。
+
+[1]: https://github.com/RadeonOpenCompute/rocm_smi_lib/tree/master/python_smi_tools
+
+## 配置说明
+
+```toml 
+# 使用 rocm-smi 命令查询 AMD 显卡统计信息
+# bin_path = "/opt/rocm/bin/rocm-smi"
+# 如果不设置 bin_path，则不会进行采集
+
+## 可选: GPU 轮询的超时时间
+# timeout = "5s"
+```
+
+## 采集指标
+
+- 测量名称: `amd_rocm_smi`
+    - 标签 (Tags)
+        - `name` (rocm-smi 可执行文件分配的显卡名称)
+        - `gpu_id` (rocm-smi 识别的 GPU ID)
+        - `gpu_unique_id` (GPU 的唯一 ID)
+
+    - 字段 (Fields)
+        - `driver_version` (整数)
+        - `fan_speed` (整数，风扇转速百分比)
+        - `memory_total` (整数 B，显存总量)
+        - `memory_used` (整数 B，已用显存)
+        - `memory_free` (整数 B，空闲显存)
+        - `temperature_sensor_edge` (浮点数，摄氏度)
+        - `temperature_sensor_junction` (浮点数，结温摄氏度)
+        - `temperature_sensor_memory` (浮点数，显存温度摄氏度)
+        - `utilization_gpu` (整数，GPU 使用率百分比)
+        - `utilization_memory` (整数，显存使用率百分比)
+        - `clocks_current_sm` (整数，Mhz)
+        - `clocks_current_memory` (整数，Mhz)
+        - `power_draw` (浮点数，瓦特)
+
+## 故障排除
+
+如果遇到问题，可以尝试手动运行完整的 `rocm-smi` 命令来检查输出结果。
+
+Linux 环境下:
+
+```sh
+rocm-smi rocm-smi -o -l -m -M  -g -c -t -u -i -f -p -P -s -S -v --showreplaycount --showpids --showdriverversion --showmemvendor --showfwinfo --showproductname --showserial --showuniqueid --showbus --showpendingpages --showpagesinfo --showretiredpages --showunreservablepages --showmemuse --showvoltage --showtopo --showtopoweight --showtopohops --showtopotype --showtoponuma --showmeminfo all --json
+```
+
+如果在 GitHub 提交 issue，请附上此命令的输出结果以及您所使用的 ROCm 版本。

inputs/amd_rocm_smi/dashboard.json

@@ -0,0 +1,160 @@
+{
+  "title": "AMD ROCm SMI",
+  "uid": "adadd6dc",
+  "tags": [
+    "amd rocm smi"
+  ],
+  "timezone": "browser",
+  "schemaVersion": 30,
+  "panels": [
+    {
+      "title": "GPU Utilization",
+      "type": "timeseries",
+      "gridPos": {
+        "x": 0,
+        "y": 0,
+        "w": 12,
+        "h": 8
+      },
+      "id": 1,
+      "targets": [
+        {
+          "expr": "amd_rocm_smi_utilization_gpu",
+          "legendFormat": "{{name}} ({{gpu_id}})",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "title": "Memory Utilization",
+      "type": "timeseries",
+      "gridPos": {
+        "x": 12,
+        "y": 0,
+        "w": 12,
+        "h": 8
+      },
+      "id": 2,
+      "targets": [
+        {
+          "expr": "amd_rocm_smi_utilization_memory",
+          "legendFormat": "{{name}} ({{gpu_id}})",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "title": "Memory Used (Bytes)",
+      "type": "timeseries",
+      "gridPos": {
+        "x": 16,
+        "y": 0,
+        "w": 8,
+        "h": 8
+      },
+      "id": 3,
+      "targets": [
+        {
+          "expr": "amd_rocm_smi_memory_used",
+          "legendFormat": "{{name}} ({{gpu_id}})",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "title": "Memory Free (Bytes)",
+      "type": "timeseries",
+      "gridPos": {
+        "x": 0,
+        "y": 8,
+        "w": 8,
+        "h": 8
+      },
+      "id": 4,
+      "targets": [
+        {
+          "expr": "amd_rocm_smi_memory_free",
+          "legendFormat": "{{name}} ({{gpu_id}})",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "title": "Power Draw (W)",
+      "type": "timeseries",
+      "gridPos": {
+        "x": 8,
+        "y": 8,
+        "w": 8,
+        "h": 8
+      },
+      "id": 5,
+      "targets": [
+        {
+          "expr": "amd_rocm_smi_power_draw",
+          "legendFormat": "{{name}} ({{gpu_id}})",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "title": "Temperature (Edge)",
+      "type": "timeseries",
+      "gridPos": {
+        "x": 16,
+        "y": 8,
+        "w": 8,
+        "h": 8
+      },
+      "id": 6,
+      "targets": [
+        {
+          "expr": "amd_rocm_smi_temperature_sensor_edge",
+          "legendFormat": "{{name}} ({{gpu_id}})",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "title": "Temperature (Junction)",
+      "type": "timeseries",
+      "gridPos": {
+        "x": 0,
+        "y": 16,
+        "w": 8,
+        "h": 8
+      },
+      "id": 7,
+      "targets": [
+        {
+          "expr": "amd_rocm_smi_temperature_sensor_junction",
+          "legendFormat": "{{name}} ({{gpu_id}})",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "title": "Fan Speed (%)",
+      "type": "timeseries",
+      "gridPos": {
+        "x": 8,
+        "y": 16,
+        "w": 8,
+        "h": 8
+      },
+      "id": 8,
+      "targets": [
+        {
+          "expr": "amd_rocm_smi_fan_speed",
+          "legendFormat": "{{name}} ({{gpu_id}})",
+          "refId": "A"
+        }
+      ]
+    }
+  ],
+  "refresh": "1m",
+  "time": {
+    "from": "now-1h",
+    "to": "now"
+  }
+}