update config

config.yaml

@@ -19,9 +19,11 @@ rds_instances:
 
   rm-m5e63m5z6o4re1p49:
     name: mars.prod
+    connection_usage_factor: 0.1
 
   rm-m5e842126ng59jrv6:
     name: data.prod
+    connection_usage_factor: 0.1
 
   rm-m5eu1wmu0zt6j5n72:
     name: sms.prod

config_local.yaml

-# 要监控的数据库实例
-rds_instances:
-  rdsfewzdmf0jfjp9un8xj:
-    name: prod.zhengxing
-    # 连接数利用率因子，连接数利用率*该因子得到一个较为统一的标准，默认1
-    connection_usage_factor: 1
-    # iops利用率因子, 默认 1
-    iops_usage_factor: 1
-    # cpu利用率因子
-    cpu_usage_factor: 1
-    # 内存利用率因子
-    memory_usage_factor: 1
-    # 数据库类型，主库or从库, 默认master
-    type: master
-
-  rdsg2mpi623x6wioo796k:
-    name: prod.readonly2.zhengxing
-    type: slave
-
-  rm-m5e63m5z6o4re1p49:
-    name: mars.prod
-
-  rm-m5e842126ng59jrv6:
-    name: data.prod
-
-  rm-m5eu1wmu0zt6j5n72:
-    name: sms.prod
-
-  rr-m5e2vy0ke9q35kst5:
-    name: prod.readonly.zhengxing
-    type: slave
-
-  rm-m5e90y907sw3bnz88:
-    name: common.prod
-
-  rr-m5e2n024w0z293r5f:
-    name: common.readonly
-    type: slave
-
-  rr-m5efx2m67mi002jq9:
-    name: prod.readonly3.zhengxing
-    type: slave
-
-  rm-m5emg41za2w7l6au3:
-    name: mimas_prod
-
-  rm-m5ey2s823bq0lc616:
-    name: bran_prod
-
-  rr-m5et21lafq1677pid:
-    name: mimas_readonly
-    type: slave
-
-  rr-m5e3036a5l18ym4t6:
-    name: mimas_readonly01
-    type: slave
-
-# 要监控的数据库指标
-metrics:
-  # 阿里云SDK查询字段
-  CpuUsage:
-    # prometheus metric name
-    name: rds_cpu_usage_ratio
-    # CPU利用率因子，CPU利用率*该因子得到一个较为统一的标准
-    factor: cpu_usage_factor
-
-  MemoryUsage:
-    name: rds_memory_usage_ratio
-    factor: memory_usage_factor
-
-  ConnectionUsage:
-    name: rds_connection_usage_ratio
-    factor: connection_usage_factor
-
-  IOPSUsage:
-    name: rds_iops_usage_ratio
-    factor: iops_usage_factor
-
-# aliyun key and secret
-aliyun_settings:
-  key: LTAIfYsppxRX2Q5m
-  secret: lz7o7pf24zFqQ1JDesHYDTJ99wS058
-
-

main.py

@@ -34,7 +34,6 @@ class RDSCollector(object):
         all_rds_id = rds_instances.keys()
 
         # get metrics from aliyun
-        print('get from aliyun')
         for label in queryname_metricname.keys():
             metrics_from_aliyun[label] = []
 
@@ -71,7 +70,7 @@ class RDSCollector(object):
                         point['Average']/100.0, point['timestamp']/1000)
                 max_metric_family.add_metric([rds_name, rds_type],
                         point['Maximum']/100.0, point['timestamp']/1000)
-                with_factor_metric_family.add_metric([rds_name, rds_type],
+                with_factor_metric_family.add_metric([rds_name+'*'+rds_factor, rds_type],
                         point['Average']*rds_factor/100.0, point['timestamp']/1000)
 
             metrics.extend([avg_metric_family, max_metric_family,