[GitHub] [skywalking] mrproliu commented on a diff in pull request #9620: Support the telegraf receiver plugin module

[GitBox <gi...@apache.org>]

mrproliu commented on code in PR #9620:
URL: https://github.com/apache/skywalking/pull/9620#discussion_r1009228197


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oap-server/server-starter/src/main/resources/telegraf-rules/vm.yaml:
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@@ -0,0 +1,56 @@
+# 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.
+
+expSuffix: service(['host'], Layer.OS_LINUX)
+metricPrefix: meter_vm
+metricsRules:
+
+  # cpu
+  - name: cpu_total_percentage
+    exp: cpu_usage_user.tagEqual('cpu' , 'cpu-total')
+  - name: cpu_average_used_telegraf
+    exp: cpu_usage_user.tagEqual('cpu' , 'cpu-total')
+  - name: cpu_load1
+    exp: system_load1
+  - name: cpu_load5
+    exp: system_load5
+  - name: cpu_load15
+    exp: system_load15
+
+  # memory
+  - name: memory_total
+    exp: mem_total
+  - name: memory_available
+    exp: mem_available
+  - name: memory_used
+    exp: mem_used
+
+  # swap
+  - name: memory_swap_free
+    exp: swap_free
+  - name: memory_swap_total
+    exp: cpu_swap_total
+  - name: memory_swap_percentage
+    exp: 100 - ((swap_free * 100) / cpu_swap_total)
+
+    #node filesystem
+  - name: filesystem_percentage_telegraf
+    exp: disk_used_percent

Review Comment:
   I have done a local test with the telegref, I think we need to use some aggregation function to aggregate the metrics: 
   1. The telegref will count the metrics every second and batch upload them. 
   ![image](https://user-images.githubusercontent.com/3417650/198979802-66e7811b-f2ca-43ef-bdba-fbc4ee2d1f1c.png)
   2. The telegref report data with multiple labels. for example, the dist used percent meter will contain metrics with multiple devices. 
   ![image](https://user-images.githubusercontent.com/3417650/198981390-ed44b9f5-61eb-4f02-84ab-992c368b2ee1.png)
   



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