Running a Validator

Getting a validator live is just the beginning

Mainnet Setup and Tooling

Getting a Validator live is just the beginning. Running a Production Validator requires far more than the initial steps. Preparing your architecture for maximum uptime and redundancy falls outside the scope of this documentation, but a few of the bare-minimum requirements are:

  • How will you handle chain upgrades?

    • consider: Cosmovisor

  • How will you know your node is up?

    • consider: Monitoring and Alerts

  • How will you mitigate DDOS attacks?

    • consider: Sentry Nodes

  • How much storage will you need and how will you grow storage?

Answering these questions can be daunting, so there is some advice below.

Chain upgrades

In order to streamline chain upgrades and minimize downtime, you may want to set up cosmovisor to manage your node.


Backups of chain state are possible using the commands specified here. If you are using a recent version of Cosmovisor, then the default configuration is that a state backup will be created before upgrades are applied. This can be turned off using environment flags.

Taking backups of the .starsd/data folder is important for quick recovery if required

Alerting and Monitoring

Alerting and monitoring is desirable as well - you are encouraged to explore solutions and find one that works for your setup. Prometheus is available out-of-the box, and there are a variety of open-source tools. Recommended reading:

And for real-time alerting, consider:

Simple setup using Grafana Cloud

Using only the raw metrics endpoint provided by starsd you can get a working dashboard and alerting setup using Grafana Cloud. This means you don't have to run Grafana on the instance.

  1. First, in config.toml enable Prometheus. The default metrics port will be 26660

  2. Download Prometheus - this is needed to ship logs to Grafana Cloud.

  3. Create a prometheus.yml file with your Grafana Cloud credentials in the Prometheus folder. You can get these via the Grafana UI. Click 'details' on the Prometheus card:

  scrape_interval: 15s

  - job_name: cosmops
    - targets: ['localhost:26660']
        group: 'cosmops'

  - url: https://your-grafana-cloud-endpoint/api/prom/push
      username: ID_HERE
      password: "API KEY HERE"

3. Set up a service file, with sudo nano /etc/systemd/system/prometheus.service, replacing <your-user> and <prometheus-folder> with the location of Prometheus. This sets the Prometheus port to 6666


ExecStart=/home/<your-user>/<prometheus-folder>/prometheus --config.file=/home/<your-user>/<prometheus-folder>/prometheus.yml --web.listen-address=:6666 --storage.tsdb.path=/home/<your-user>/<prometheus-folder>/data


4. Enable and start the service.

sudo -S systemctl daemon-reload
sudo -S systemctl enable prometheus
sudo systemctl start prometheus

5. Import a dashboard to your Grafana. Search for 'Cosmos Validator' to find several options. You should see logs arriving in the dashboard after a couple of minutes.

For more info:

Avoiding DDOS attacks

If you are comfortable with server ops, you might want to build out a Sentry Node Architecture validator to protect against DDOS attacks.

The current best practice for running mainnet nodes is a Sentry Node Architecture. There are various approaches, as detailed here. Some validators advocate co-locating all three nodes in virtual partitions on a single box, using Docker or other virtualization tools. However, if in doubt, just run each node on a different server.

Bear in mind that Sentries can have pruning turned on, as outlined here. It is desirable, but not essential, to have pruning disabled on the validator node itself.

Managing storage

If you are using a cloud services provider, you may want to mount $HOME on an externally mountable storage volume, as you may need to shuffle the data onto a larger storage device later. You can specify the home directory in most commands, or just use symlinks.

Disk space is likely to fill up, so having a plan for managing storage is key.

If you are running sentry nodes:

  • 512GB storage for the full node will give you a lot of runway

  • 256GB each for the sentries with pruning should be sufficient

Managing backups is outside the scope of this documentation, but several validators keep public snapshots and backups.

Ballpark costs

To give you an idea of cost, on AWS EBS (other cloud providers are available, or you can run your own hardware), with two backups a day, this runs to roughly:

  • $150 for 1TB

  • $35 for 200GB

  • Total cost: $220

What approach you take for this will depend on whether you are running on physical hardware co-located with you, running in a data centre, or running on virtualized hardware.


It's extremely important to be vigilant in the monitoring of both your node(s) as well as the Stargaze validator ecosystem:

  • Ensure you're alerted to all notifications on the #validator-announcements channel on the Stargaze Discord Server

  • Watch for new governance votes and VOTE appropriately for you and your delegations

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