chore(monitor): remove nsqd

Author: duanhongyi

README.md

@@ -27,9 +27,9 @@ Grafana is a stand alone graphing application. It natively supports Influxdb as
                         Log file                        │    
                             │                           │    
                             ▼                           ▼    
-┌────────┐             ┌─────────┐    logs/metrics   ┌─────┐
-│App Logs│──Log File──▶│ fluentd │───────topics─────▶│ NSQ │
-└────────┘             └─────────┘                   └─────┘
+┌────────┐             ┌─────────┐    logs/metrics   ┌──────────────┐
+│App Logs│──Log File──▶│ fluentd │───────topics─────▶│ Redis Stream │
+└────────┘             └─────────┘                   └──────────────┘
                                                         │    
                                                         │    
 ┌─────────────┐                                         │    

grafana/rootfs/usr/share/grafana/api/dashboards/drycc_component_health.json

@@ -2418,7 +2418,7 @@
         },
         "id": 42,
         "panels": [],
-        "title": "NSQD",
+        "title": "RABBITMQ",
         "type": "row"
       },
       {
@@ -2500,7 +2500,7 @@
             "measurement": "kubernetes_pod_container",
             "orderByTime": "ASC",
             "policy": "default",
-            "query": "from(bucket: v.bucket)\n  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n  |> filter(fn: (r) => r[\"_field\"] == \"cpu_usage_nanocores\")\n  |> filter(fn: (r) => r[\"namespace\"] == \"drycc\")\n  |> filter(fn: (r) => r[\"container_name\"] == \"drycc-nsqd\")\n  |> keep(columns: [\"_time\", \"container_name\", \"_value\"])\n  |> movingAverage(n: 10)\n  |> map(fn: (r) => ({\n      r with\n      _value: r._value / 1000000.0\n    })\n  )\n  |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n  |> yield(name: \"mean\")",
+            "query": "from(bucket: v.bucket)\n  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n  |> filter(fn: (r) => r[\"_field\"] == \"cpu_usage_nanocores\")\n  |> filter(fn: (r) => r[\"namespace\"] == \"drycc\")\n  |> filter(fn: (r) => r[\"container_name\"] == \"drycc-rabbitmq\")\n  |> keep(columns: [\"_time\", \"container_name\", \"_value\"])\n  |> movingAverage(n: 10)\n  |> map(fn: (r) => ({\n      r with\n      _value: r._value / 1000000.0\n    })\n  )\n  |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n  |> yield(name: \"mean\")",
             "refId": "A",
             "resultFormat": "time_series"
           }
@@ -2625,7 +2625,7 @@
             "measurement": "kubernetes_pod_container",
             "orderByTime": "ASC",
             "policy": "default",
-            "query": "from(bucket: v.bucket)\n  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n  |> filter(fn: (r) => r[\"container_name\"] == \"drycc-nsqd\")\n  |> filter(fn: (r) => r[\"_field\"] == \"memory_usage_bytes\")\n  |> keep(columns: [\"_time\", \"container_name\", \"_value\"])\n  |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n  |> yield(name: \"mean\")",
+            "query": "from(bucket: v.bucket)\n  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n  |> filter(fn: (r) => r[\"container_name\"] == \"drycc-rabbitmq\")\n  |> filter(fn: (r) => r[\"_field\"] == \"memory_usage_bytes\")\n  |> keep(columns: [\"_time\", \"container_name\", \"_value\"])\n  |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n  |> yield(name: \"mean\")",
             "refId": "A",
             "resultFormat": "time_series"
           }