Fetching latest commit…
Cannot retrieve the latest commit at this time.
Type Name Latest commit message Commit time
Failed to load latest commit information.



Metadata associated with the MongoDB collectd plugin can be found here. The relevant code for the plugin can be found here.


Use the mongodb collectd plugin to collect metrics from MongoDB nodes.

This plugin captures the following metrics about MongoDB generally:

  • memory
  • network input/output bytes count
  • heap usage
  • db connections
  • operations count
  • active client connections
  • queued operations

The plugin also captures the following DB-specific metrics:

  • db size
  • db counters

Documentation for MongoDB can be found here.


Built-in dashboards
  • MongoDB Hosts: Overview of data from all MongoDB hosts.

  • MongoDB Host: Focus on a single MongoDB host.

  • MongoDB Cluster: Overview of a MongoDB cluster.


Version information

Software Version
collectd 4.9 or later
Python 2.4 or later
MongoDB 2.6 or later
PyMongo 3.0 or later
Python plugin for collectd (included with SignalFx collectd agent)


If you are using the new Smart Agent, see the docs for the collectd/mongodb monitor for more information. The configuration documentation below may be helpful as well, but consult the Smart Agent repo's docs for the exact schema.

  1. Install pip and pymongo.

    • RHEL/CentOS and Amazon Linux

        yum install -y epel-release
        yum install -y python-pip
        sudo pip install pymongo==3.0.3
    • Ubuntu and Debian:

        apt-get install -y python-pip python-dev build-essential
        sudo pip install pymongo==3.0.3
  2. If you want to use SSL/TLS to connect to Mongo, install the PyMongo TLS dependencies as well:

     sudo pip install pymongo[tls]
  3. Download the collectd-mongodb Python module.

  4. Download SignalFx's sample configuration file for this plugin to /etc/collectd/managed_config.

  5. Modify the sample configuration file as described in Configuration, below.

  6. Restart collectd.


Using the example configuration file 10-mongodb.conf as a guide, provide values for the configuration options listed below that make sense for your environment and allow you to connect to the MongoDB instance to be monitored.

configuration option definition default value
ModulePath Path on disk where collectd can find this module. "/usr/share/collectd/mongodb-collectd-plugin"
Host Host IP ""
Port Port number for IP connection "27017"
User Valid mongodb user ""
Password Associated password for valid user "password"
Database Name(s) of database(s) that you would like metrics from. Note: the first database in this list must be "admin", as it is used to perform a serverStatus() command. "admin" "db-prod" "db-dev"
Interval How frequently to send metrics in seconds collectd Interval setting
SendCollectionMetrics Whether to send collection level metrics or not false
SendCollectionTopMetrics Whether to send collection level top (timing) metrics or not false
CollectionMetricsIntervalMultiplier How frequently to send collection level metrics as a multiple of the configured plugin interval (e.g. if the Interval is 15 and the multiplier is 4, collection level metrics will be fetched every minute) 6
UseTLS Set this to true if you want to connect to Mongo using TLS/x509/SSL. false
CACerts Path to a CA cert that will be used to verify the certificate that Mongo presents (not needed if not using TLS or if Mongo's cert is signed by a globally trusted issuer already installed in the default location on your OS) ""
TLSClientCert Path to a client certificate (not needed unless your Mongo instance requires x509 client verification) ""
User (same as above User field but required for TLS client auth) The username associated with the client cert (this is the subject field of the client cert, formatted according to RFC2253 and in the same order that was specified when creating the user in the Mongo $external database). You can get this value by running the following command: openssl x509 -in <pathToClient PEM> -inform PEM -subject -nameopt RFC2253. ""
TLSClientKey Path to a client certificate key (not needed unless your Mongo instance requires x509 client verification, or if your client cert above has the key included) ""
TLSClientKeyPassphrase Passphrase for the TLSClientKey above (requires Python 2.7.9+) ""

Note: Monitoring multiple instances

Each MongoDB instance to be monitored is specified in a <Module> block within the configuration file. By default, the sample configuration file 10-mongodb.conf contains only one such block. To monitor an additional instance of MongoDB, add another <Module> block immediately below the first, and configure it according to that instance's parameters.

Note: Creating a MongoDB user for collectd

If you're monitoring a secured MongoDB deployment, it is a good practice to create a MongoDB user with minimal read-only roles, as follows:

db.createUser( {
  user: "collectd",
  pwd: "collectd",
  roles: [ { role: "readAnyDatabase", db: "admin" }, { role: "clusterMonitor", db: "admin" } ]


Below are screen captures of dashboards created for this plugin by SignalFx, illustrating the metrics emitted by this plugin.

For general reference on how to monitor MongoDB performance, see Analyzing MongoDB Performance.

Monitoring MongoDB clusters

Writes to MongoDB require the use of the global lock. If lock utilization is high, operations can begin to slow down. This can be a symptom of database issues such as poorly configured or absent indexes, or a schema design that needs improvement. It can also indicate the failure of a disk. Monitor the number of readers and writers waiting for the lock in gauge.globalLock.currentQueue.total.

lock queue

This lock has little utilization and few queued readers and writers.

MongoDB flushes data changes from memory to disk on a timed interval, by default every 60 seconds. If background flushes begin taking longer than usual, it can indicate that the disk doesn't have enough I/O capacity to handle the load (read more below). It could also reflect a large number of writes occurring at once -- check counter.opcounters.insert and counter.opcounters.update.

Monitor average background flush time and the most recent background flush time in gauge.backgroundFlushing.average_ms and gauge.backgroundFlushing.last_ms respectively.

background flush time

Average background flush time on this cluster is around 40ms, well within healthy parameters.

When analyzing the performance of a MongoDB cluster, it's also important to verify that the load is balanced across each instance. The cluster dashboard included in this repository contains many list charts of individual MongoDB instances ordered by important metrics like requests per second (counter.network.numRequests) and number of connections to MongoDB (gauge.connections.current). This can help you compare load between instances. Load imbalance can arise in a sharded cluster if MongoDB is unable to balance chunks equally between the shards, for example if lock utilization is high.

top hosts by requests and connections

All the listed instances show about the same requests per second and number of connections. Their load is balanced.

Monitoring MongoDB hosts

On an individual instance level, it's important to monitor system statistics like memory usage, page faults, and disk I/O utilization.

MongoDB uses memory-mapped files to store data, so it is important to compare the amount of memory that MongoDB has allocated to the amount of system memory. This plugin reports resident memory usage in gauge.mem.resident and mapped memory usage in gauge.mem.mapped. If either of these quantities exceed the amount of system memory (reported by the memory plugin for collectd), the system may be at or over capacity.

Memory statistics from MongoDB

This MongoDB instance is not using a large amount of resident memory, and has non-mapped memory available to the process (calculated as gauge.mem.virtual - gauge.mem.mapped.)

This plugin reports page faults in counter.extra_info.page_faults. Page faults indicate that reads or writes are occurring to data files that are not currently in memory. This is different from an OS page fault. Sudden increases in MongoDB page faults can indicate that a large read operation is taking place. Steadily high numbers of page faults indicate that MongoDB is reading more often from disk than is optimal.

Page fault statistics from MongoDB

This MongoDB instance has a low rate of page faults. This means that most of the data MongoDB needs to access is in memory, and doesn't need to be fetched from disk.

You can monitor disk I/O utilization for your MongoDB host using the disk_ops.write and disk_ops.read metrics emitted by the disk plugin for collectd, which is included and enabled by default in most packages of collectd. Click here to learn more about the collectd-disk plugin.


For documentation of the metrics and dimensions emitted by this plugin, click here.


This integration is released under the Apache 2.0 license. See LICENSE for more details.