Self-Hosted Monitoring
Important
These are community-contributed docs. Sentry does not officially provide support for self-hosted configurations beyond the default install.
This page is considered experimental because everyone will have different setup and requirements for their monitoring system. It is also best to use your existing monitoring system, and try to integrate Sentry with it, instead of spinning up a new one.
Most containers have a statsd
client that you can point to your monitoring system. If you have a native statsd
server instance, you can directly use it. If you don't, you might want to add some kind of converter that converts the ingested statsd
format into your own. For example, if you are using Prometheus, you can use prometheus-statsd-exporter to bridge the gap.
If you are using DataDog as your monitoring system, it is recommended to use DogStatsD as the collector.
We recommend the original statsd
server made by Etsy or the others on the server re-implementations.
Sentry does not provide any alerts if your host instance is low on resources such as free memory or disk space. You will need to configure this own your own relative to your needs. It is critical for you to monitor the disk space as once it gets full, it will be much harder to recover from there.
Note
After changing configuration files, don't forget to restart the containers with docker compose restart
. See the configuration section for more information.
This documentation assumes 100.100.123.123
as your statsd host IP address. On most services, it is recommended to provide an IP address for the host like this, instead of a domain name like statsd.yourcompany.com
.
You can configure Sentry to send metrics to Statsd server by configuring your sentry/sentry.conf.py
file:
SENTRY_METRICS_BACKEND = 'sentry.metrics.statsd.StatsdMetricsBackend'
SENTRY_METRICS_OPTIONS: dict[str, Any] = {
'host': '100.100.123.123', # It's recommended to use IP address instead of domain name
'port': 8125,
}
# SENTRY_METRICS_SAMPLE_RATE = 1.0 # Adjust this to your needs, default is 1.0
# SENTRY_METRICS_PREFIX = "sentry." # Adjust this to your needs, default is "sentry."
You can configure Snuba to send metrics to Statsd server by configuring your docker-compose.yml
file:
# The rest of your Docker Compose file
x-snuba-defaults: &snuba_defaults
<<: *restart_policy
depends_on:
clickhouse:
<<: *depends_on-healthy
kafka:
<<: *depends_on-healthy
redis:
<<: *depends_on-healthy
image: "$SNUBA_IMAGE"
environment:
SNUBA_SETTINGS: self_hosted
CLICKHOUSE_HOST: clickhouse
DEFAULT_BROKERS: "kafka:9092"
REDIS_HOST: redis
UWSGI_MAX_REQUESTS: "10000"
UWSGI_DISABLE_LOGGING: "true"
# Leaving the value empty to just pass whatever is set
# on the host system (or in the .env file)
SENTRY_EVENT_RETENTION_DAYS:
SNUBA_STATSD_HOST: "100.100.123.123" # Must be an IP address, not domain name
SNUBA_STATSD_PORT: 8125
# The rest of your Docker Compose file
You can configure Relay to send metrics to Statsd server by configuring your relay/config.yml
file:
# The rest of your config.yml file
metrics:
statsd: "100.100.123.123:8125" # It's recommended to use IP address instead of domain name
# prefix: "sentry.relay" # Adjust this to your needs, default is "sentry.relay"
# sample_rate: 1.0 # Adjust this to your needs, default is 1.0
# `periodic_secs` is the interval for periodic metrics emitted from Relay.
# Setting it to `0` seconds disables the periodic metrics.
# periodic_secs: 5
You can configure Symbolicator to send metrics to Statsd server by configuring your symbolicator/config.yml
file:
# The rest of your config.yml file
metrics:
statsd: "100.100.123.123:8125" # It's recommended to use IP address instead of domain name
prefix: "sentry.symbolicator" # Adjust this to your needs, default is "symbolicator"
We don't provide configurations for Sentry's dependencies such as PostgreSQL, Kafka, Redis, Memcached and ClickHouse that are bundled with the Docker Compose file. You will need to provide monitoring configuration for those service yourself adjusted to your needs.
Our documentation is open source and available on GitHub. Your contributions are welcome, whether fixing a typo (drat!) or suggesting an update ("yeah, this would be better").