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1Clear out junk files and repair common Windows errors2Fix the driver behind crashes, sound loss and screen glitches3Repair Windows errors before they cause bigger problemsThe reliable monitoring path on Ubuntu is MongoDB → Percona mongodb_exporter → Prometheus → Grafana. The exporter exposes MongoDB metrics on port 9216; Prometheus scrapes that endpoint; Grafana queries Prometheus for dashboards and alerts. This guide shows how to create a least-privilege monitoring account, install and test the exporter, run it under systemd, configure Prometheus, connect Grafana, and troubleshoot the common failure points.
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The walkthrough reflects setup guides available in 2026. Exporter release numbers and dashboard identifiers change, so verify the current Percona release and any dashboard import before deploying to production.
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MongoDB does not send native Prometheus time series directly in this setup. The Percona mongodb_exporter process logs in to MongoDB, collects server statistics, and serves them as an HTTP metrics endpoint. Prometheus periodically requests that endpoint and stores the resulting time series. Grafana uses Prometheus as a data source, so panels and alert rules are built against the data Prometheus has retained.
On a single Ubuntu host, the usual flow is:
- MongoDB listens on its configured database port.
mongodb_exporterruns locally and listens onlocalhost:9216(or on a private interface when Prometheus is remote).- Prometheus scrapes the target with a job named
mongodb. - Grafana connects to the Prometheus HTTP URL and renders dashboards.
Keeping the exporter on the database host minimizes network exposure and makes localhost:9216 a simple scrape target. If Prometheus runs elsewhere, put the exporter and Prometheus on a private network and allow port 9216 only from the Prometheus address.
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Before you install anything
Confirm the components and access
- An Ubuntu server running MongoDB and the
mongod.servicesystemd unit. - Administrative access sufficient to create one MongoDB user in the
admindatabase. - Prometheus and Grafana installed from their current official releases, either on this host or on reachable monitoring hosts.
- Permission to install a binary under
/usr/local/bin/and create a systemd unit. - A firewall or private-network policy that can restrict TCP port
9216to Prometheus.
Choose a release deliberately
Setup guides have pinned different exporter releases, including v0.40.0 and v0.42.0. Those numbers are guide-specific and should not be treated as the current release. Check the Percona releases page immediately before downloading, record the version you selected, and use the same binary for your systemd service and any test run.
| Guide pin | How to interpret it |
|---|---|
v0.40.0 |
A version used by one walkthrough; verify availability and compatibility before use. |
v0.42.0 |
A different walkthrough’s pin; verify availability and compatibility before use. |
Do not silently select an old container image merely because it appears in a copied tutorial. Prefer the current Percona exporter release and document the exact version in your deployment notes.
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Do not give the exporter an administrator’s credentials. Create a separate account in the admin database with the two roles used by the setup guides: clusterMonitor on admin and read on local.
- Open a MongoDB shell with an account that is allowed to create users.
- Select the
admindatabase. - Create a uniquely named monitoring user with a long, randomly generated password.
- Assign
{role: 'clusterMonitor', db: 'admin'}and{role: 'read', db: 'local'}. - Store the password in your secret-management process; do not commit it to a shell script or Prometheus configuration.
A representative shell statement is:
use admin
db.createUser({ user: 'metrics', pwd: 'replace-with-a-secret', roles: [ { role: 'clusterMonitor', db: 'admin' }, { role: 'read', db: 'local' } ] })Use the username and password only in the exporter connection URI. If authentication is enabled, make sure the URI identifies the authentication database as admin; otherwise the exporter may report an authentication failure even though the account exists.
Install Percona mongodb_exporter on Ubuntu
Download and place the binary
Download the Linux tarball for the release and architecture of your Ubuntu host from Percona’s release repository. Extract it, identify the mongodb_exporter executable, and copy that executable to /usr/local/bin/. Confirm that the file is executable and record its version.
sudo install -m 0755 mongodb_exporter /usr/local/bin/mongodb_exporterThe exact archive name and version are intentionally not fixed here because the available Percona releases change. Use the release’s own help output to confirm the connection-URI option and supported collector flags before writing the service file.
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Run a foreground smoke test
Start the exporter manually with the MongoDB connection URI, --collect-all, and --compatible-mode. Keep this process in the foreground while testing so errors are visible. The URI must contain the monitoring username, password, host, and authentication database required by your MongoDB deployment.
In a second terminal, request the metrics endpoint:
curl http://localhost:9216/metrics | grep mongodb_upA line containing mongodb_up confirms that the exporter can reach MongoDB and expose at least its basic availability metric. An empty result is not a dashboard problem; investigate the exporter process, its URI, authentication, and the listening address first.
Run the exporter safely with systemd
Keep credentials out of the process list
Put the connection string in an environment file such as /etc/default/mongodb_exporter, with ownership and permissions that prevent ordinary users from reading it. Keeping the URI out of ExecStart avoids exposing the password through the process command line and makes credential rotation easier.
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The file should define the URI variable expected by the exporter release and the options you tested. Use the option spelling shown by that binary’s help output; releases can change flag names.
MONGODB_URI='mongodb://metrics:[email protected]:27017/?authSource=admin'
EXPORTER_OPTS='--collect-all --compatible-mode'Protect the file, for example with root ownership and mode 0600, and ensure the service account can read it through the unit’s environment-file mechanism.
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Create the unit
Create a unit that starts after MongoDB, runs as a dedicated non-root account, and restarts after a failure. One documented example uses the existing mongodb user rather than root. Adapt the ExecStart line to the URI-flag syntax supported by your selected exporter release.
[Unit]
Description=MongoDB Prometheus exporter
After=mongod.service
Requires=mongod.service
[Service]
User=mongodb
EnvironmentFile=/etc/default/mongodb_exporter
ExecStart=/usr/local/bin/mongodb_exporter --mongodb.uri=${MONGODB_URI} --collect-all --compatible-mode
Restart=on-failure
[Install]
WantedBy=multi-user.targetSave the unit as /etc/systemd/system/mongodb_exporter.service. If your release uses a differently named URI flag, replace only that flag; keep the tested collector options. Then load, enable, and start it:
sudo systemctl daemon-reload
sudo systemctl enable mongodb_exporter
sudo systemctl start mongodb_exporterCheck both the service state and its recent journal output:
systemctl status mongodb_exporter
journalctl -u mongodb_exporter -n 50 --no-pagerRepeat the curl check after the service starts. A successful systemd status without a mongodb_up metric usually means the process is running but cannot authenticate, cannot reach MongoDB, or is listening on a different address or port than expected.
Configure Prometheus to scrape MongoDB
Add a scrape job to Prometheus’ configuration. For an exporter on the same host, the target is localhost:9216. One setup uses a 30-second scrape interval and a 10-second timeout:
scrape_configs:
- job_name: 'mongodb'
scrape_interval: 30s
scrape_timeout: 10s
static_configs:
- targets: ['localhost:9216']Use the exporter host’s private address instead of localhost when Prometheus runs on another machine. After editing the configuration, restart Prometheus using the service method for your installation. In Prometheus’ targets view, the mongodb target should be listed as UP. The target page shows the scrape error when it is not.
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Validate the path in order: first fetch http://localhost:9216/metrics from the exporter host, then test the exporter host and port from the Prometheus host, and only then investigate Prometheus configuration. This separates MongoDB authentication failures from network and scrape failures.
Connect Grafana to Prometheus
- Sign in to Grafana.
- Open Configuration → Data Sources.
- Select Add data source, then choose Prometheus.
- Enter the Prometheus server URL reachable from the Grafana server.
- Save and test the data source.
A successful data-source test proves Grafana can reach Prometheus; it does not prove that MongoDB is being scraped. Confirm that the Prometheus mongodb target is up and that queries return series before debugging Grafana panels.
Import or build a dashboard
You can import a community MongoDB dashboard or create panels yourself. Dashboard identifiers and panel names change, so verify that an imported dashboard expects the metric names produced by your exporter release. A hand-built dashboard is slower initially but makes every query and threshold explicit.
Start with panels that answer operational questions:
- Is the exporter reachable? Use
mongodb_up. - Are connections approaching the server’s practical limit?
- Is a replica set member falling behind?
- Is WiredTiger cache utilization increasing toward exhaustion?
- Are scrape errors intermittent or continuous?
Use the Prometheus data source’s query editor to inspect the actual labels and series before copying a panel between environments. A panel that assumes a particular replica-set or instance label may show no data when your labels differ.
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The setup guidance emphasizes three alerting areas: connection saturation, replication lag, and WiredTiger cache fill percentage. Treat these as symptoms that need context rather than universal numeric thresholds. A connection count that is normal for one deployment can exhaust another, and acceptable replication lag depends on the workload and recovery objective.
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Connection saturation
Alert when active connections approach the limit your application and MongoDB deployment can sustain. Pair the alert with a panel showing the recent connection trend and deployment identity. A sudden rise can indicate a connection leak, a traffic surge, or a failed pool configuration.
Replication lag
Alert when a secondary’s lag exceeds the delay your application can tolerate. Include the affected member in the alert labels so an operator can distinguish one slow secondary from a wider replication problem. Investigate disk throughput, network delay, and workload changes before simply raising the threshold.
WiredTiger cache fill
Alert on sustained high cache fill rather than a single spike. A rising percentage can precede eviction pressure and latency changes. Correlate it with query load, working-set changes, and disk behavior before taking corrective action.
Secure the exporter endpoint
Port 9216 exposes operational information and should not be open to the public internet. Restrict it with host-firewall rules or place it on a private network that only Prometheus can reach. If Prometheus is remote, allow the Prometheus host or subnet and deny other sources.
Keep MongoDB credentials in the environment file or another secret store, not in a world-readable unit, a public repository, or a dashboard URL. Run the exporter as a dedicated non-root user. Rotate the monitoring password by updating the protected environment file, restarting the exporter, and confirming that mongodb_up remains present.
Systemd binary versus Docker
The documented default is a systemd-managed binary on Ubuntu. Docker is an alternative when your operations team already standardizes on containers; one guide reports using the percona/mongodb_exporter image with the same collector flags. Treat container examples as lower-confidence than the systemd path and pin a current image version rather than using an unqualified or obsolete tag.
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| Choice | What it provides | Important operational consideration |
|---|---|---|
| Systemd binary | A binary in /usr/local/bin/ managed by an Ubuntu unit |
Integrates with mongod.service ordering, journal logs, restart policies, and a protected environment file. |
| Docker container | The Percona exporter image with the same connection and collector options | Requires container networking, secret handling, restart policy, and a current image pin; expose port 9216 only to Prometheus. |
Do not run both versions against the same MongoDB instance unless you have a specific reason; duplicate exporters create unnecessary load and duplicate time series.
Troubleshooting by symptom
mongodb_up is missing
- Check that the exporter process is running and listening on port 9216.
- Read
journalctl -u mongodb_exporterfor URI parsing, DNS, TLS, or authentication errors. - Verify that the user was created in
adminwithclusterMonitoronadminandreadonlocal. - Run the foreground smoke test with the same URI and flags used by systemd.
Prometheus reports the target as down
- Fetch
/metricslocally on the exporter host. - From the Prometheus host, test reachability to the exporter address and TCP port.
- Check firewall rules and whether the exporter is bound only to loopback.
- Confirm that the target in the
mongodbjob matches the exporter address and port. - Check that the 10-second timeout is not being exceeded by a slow scrape.
Grafana shows “no data”
- Use Grafana’s data-source test to verify the Prometheus URL.
- Query
mongodb_updirectly in Grafana’s Explore view. - Check Prometheus for the exact metric labels emitted by your exporter version.
- Review the dashboard’s time range and datasource selection.
The service starts after reboot but MongoDB metrics fail
Confirm the unit has After=mongod.service and Requires=mongod.service, then inspect both services’ boot-time logs. Verify that the environment file exists before the exporter starts and that its permissions allow the configured service account to read it.
Operational checklist
- Record the exact Percona exporter version selected from the current release list.
- Use a dedicated MongoDB monitoring user with only the documented roles.
- Keep the URI in a protected environment file or secret manager.
- Run the exporter as a non-root account and restart it on failure.
- Confirm
mongodb_upbefore configuring Prometheus. - Use a named Prometheus job, a 30-second interval, and a 10-second timeout unless your capacity planning requires different values.
- Verify the Prometheus target is UP before importing or building Grafana panels.
- Restrict port 9216 to Prometheus.
- Alert on connection saturation, replication lag, and sustained WiredTiger cache pressure.
- Recheck dashboard queries and exporter flags whenever you upgrade the exporter.
What a healthy result looks like
A correctly configured installation has a dedicated monitoring account, a running exporter whose /metrics endpoint includes mongodb_up, a Prometheus target named mongodb in the UP state, and a Grafana Prometheus data source that returns those series. From there, dashboards and alerts are presentation and policy choices: keep the panels tied to the metrics your exporter actually emits, and tune alert thresholds to the capacity and replication guarantees of your own MongoDB deployment.
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