• Alibaba Cloud summary: 'Alibaba Cloud MongoDB replica set metrics display, including CPU usage, memory usage, disk usage, data disk space, log disk space, statement execution times per second, requests, connections, network traffic, replication latency, QPS, etc.' __int_icon: 'icon/aliyun_mongodb' Alibaba Cloud MongoDB shard cluster metrics display, including CPU usage, memory usage, disk usage, data disk space, log disk space, statement execution times per second, requests, connections, network traffic, replication latency, QPS,

Alibaba Cloud MongoDB single node example metrics display, including CPU usage, memory usage, disk usage, disk space occupied by data, statement execution times per second, requests, connections, network traffic, QPS, etc. __int_icon: 'icon/aliyun_mongodb_replicaset'

dashboard: - desc: 'Alibaba Cloud MongoDB replicaset built-in view' path: 'dashboard/en/aliyun_mongodb_replicaset/' - desc: 'Alibaba Cloud MongoDB sharded cluster built-in view' path: 'dashboard/en/aliyun_mongodb_sharding/' - desc: 'Alibaba Cloud MongoDB single-node instance built-in view' path: 'dashboard/en/aliyun_mongodb_singlenode/'

monitor: - desc: 'Alibaba Cloud MongoDB replicaset monitor' path: 'monitor/en/aliyun_mongodb_replicaset/' - desc: 'Alibaba Cloud MongoDB sharded cluster monitor' path: 'monitor/en/aliyun_mongodb_sharding/' - desc: 'Alibaba Cloud MongoDB single-node instance monitor' path: 'monitor/en/aliyun_mongodb_singlenode/'

Alibaba Cloud¶

Alibaba Cloud MongoDB replica set metrics display, including CPU usage, memory usage, disk usage, data disk space, log disk space, statement execution times per second, requests, connections, network traffic, replication latency, QPS, etc.

Alibaba Cloud MongoDB shard cluster metrics display, including CPU usage, memory usage, disk usage, data disk space, log disk space, statement execution times per second, requests, connections, network traffic, replication latency, QPS, etc.

Alibaba Cloud MongoDB single node example metrics display, including CPU usage, memory usage, disk usage, disk space occupied by data, statement execution times per second, requests, connections, network traffic, QPS, etc.

Config¶

Install Func¶

It is recommended to open Guance Integration-Extension-hosted Func: all preconditions are automatically installed, please continue with the script installation.

If their own deployment Func reference Self-Deployment of Func

The GSE version is recommended

Install scripts¶

Tip: Please prepare the required Ali Cloud AK in advance (for simplicity, you can directly grant the global read-only permission 'ReadOnlyAccess')

To synchronize the monitoring data of ECS cloud resources, we install the corresponding acquisition script: 「Guance Integration（Aliyun - MongoDB Collect）」 (ID: 'guance_aliyun_mongodb')

After clicking "Install", input the corresponding parameters: Ali Cloud AK, Ali cloud account name.

Click [Deploy Startup Script], the system will automatically create the 'Startup' script set, and automatically configure the corresponding startup script.

Once enabled, you can see the corresponding auto-trigger configuration under 「Management / Crontab Config」. Click "Run", you can immediately execute once, without waiting for a regular time. After a few moments, you can review the execution of the task and the corresponding log.

If you want to ingest the corresponding log, you should also enable the corresponding log ingest script. If you want to collect a bill, start the cloud bill collection script.

We collect some configurations by default, as described in the metrics column

Configuring custom cloud object metrics

Validation¶

1. In 「Management / Crontab Config」, confirm whether the corresponding automatic trigger configuration exists for the corresponding task, and check whether there is an exception in the corresponding task record and log

2. Check the presence of asset information in the Guance platform, 「Infrastructure / Custom」

3. In the Guance platform, 「Metrics」checks whether there is corresponding monitoring data.

Metrics¶

Ali Cloud-cloud monitoring is configured, the default collection metrics are as follows, and more metrics can be collected through configuration.

For more metrics, please refer to: Aliyun Cloud monitoring metrics details

MongoDB Cloud Edition - Replica Set¶

MongoDB Cloud - Sharded Cluster¶

Cloud Database MongoDB Edition - Single Node instance¶

object¶

The collected Ali Cloud MongoDB object data structure, you can see the object data from the "Infrastructure-custom"

{
  "measurement": "aliyun_mongodb",
  "tags": {
    "name"                 : "dds-bpxxxxxxxx",
    "DBInstanceType"       : "replicate",
    "ChargeType"           : "PrePaid",
    "Engine"               : "MongoDB",
    "DBInstanceClass"      : "dds.xxxxxxxx",
    "DBInstanceId"         : "dds-bpxxxxxxx",
    "ZoneId"               : "cn-hangzhou",
    "RegionId"             : "cn-hangzhou-h",
    "VPCId"                : "vpc-bpxxxxxxxx",
    "EngineVersion"        : "4.2",
    "CurrentKernelVersion" : "mongodb_20210204_4.0.14",
    "StorageEngine"        : "WiredTiger",
    "LockMode"             : "Unlock",
  },
  "fields": {
    "ExpireTime"       : "2020-11-18T08:47:11Z",
    "DBInstanceStorage": "20",
  }
}

logging¶

Slow query logs¶

Prerequisites¶

Note: The code of this script depends on mongodb instance object collection to run. If mongodb's custom object collection is not configured, the slow log script cannot collect slow log data

Install the slow query ingest script¶

To start with, install a script for MongoDB slow query ingestion

In "Script Market - Official Script Market", go to "Details" and click to install the corresponding script package:

• 「Guance Integration（Aliyun -MongoDB Slow Query Log Collect）」 (ID: 'guance_aliyun_mongodb')

After the data is synchronized normally, the data can be viewed in the 「 logging 」 of the Guance.

Examples of reported data are as follows:

{
  "measurement": "aliyun_mongodb_slowlog",
  "tags": {
    "name"                 : "dds-bpxxxxxxxx",
    "DBInstanceType"       : "replicate",
    "ChargeType"           : "PrePaid",
    "Engine"               : "MongoDB",
    "DBInstanceClass"      : "dds.xxxxxxxx",
    "DBInstanceId"         : "dds-bpxxxxxxx",
    "ZoneId"               : "cn-hangzhou",
    "RegionId"             : "cn-hangzhou-h",
    "VPCId"                : "vpc-bpxxxxxxxx",
    "EngineVersion"        : "4.2",
    "CurrentKernelVersion" : "mongodb_20210204_4.0.14",
    "StorageEngine"        : "WiredTiger",
    "DBName"               : "local",
    "HostAddress"          : "11.xxx.xxx.xx",
    "TableName"            : "oplog",
  },
  "fields": {
    "ExecutionStartTime": "1",
    "QueryTimes"        : "1",
    "ReturnRowCounts"   : "1",
    "KeysExamined"      : "1",
    "DocsExamined"      : "1",
  }
}

Some parameters are explained as follows:

Notice：tags、fields The fields in are subject to change with subsequent updates

Remind：fields.message is a JSON serialized string.