Uptrace Configuration

You can customize Uptrace settings and change the generated ClickHouse database schema with a single YAML config file.

Config file

All Uptrace configuration is done with a single YAML file that can be downloaded from GitHub:

shell
wget https://raw.githubusercontent.com/uptrace/uptrace/master/config/uptrace.dist.yml
mv uptrace.dist.yml /etc/uptrace/config.yml

Config location

You can specify the location of Uptrace config using a CLI arg:

shell
uptrace --config=/path/to/uptrace.yml serve

Or using an env variable:

shell
UPTRACE_CONFIG=/path/to/uptrace.yml uptrace serve

When you don't explicitly specify the config location, Uptrace will try to use the config at /etc/uptrace/config.yml.

PostgreSQL

Uptrace requires a PostgreSQL database to store metadata such as metric names and alerts. It is typically very small, occupying only a few megabytes of disk space.

You can configure the PostgreSQL database credentials in the config:

yaml
##
## PostgreSQL db that is used to store metadata such us metric names, dashboards, alerts,
## and so on.
##
pg:
  addr: localhost:5432
  user: uptrace
  password: uptrace
  database: uptrace

  # TLS configuration. Uncomment to enable.
  # tls:
  #   insecure_skip_verify: true # only for self-signed certificates

See TLS for details.

Environment variables

You can use environment variables in the YAML config file, for example:

yaml
pg:
  addr: ${UPTRACE_PG_ADDR}
  user: ${UPTRACE_PG_USER}
  password: ${UPTRACE_PG_PASSWORD}
  database: ${UPTRACE_PG_DATABASE:uptrace}

Environment variables can have a default value, for example, ${ENV_VAR_NAME:default_value}.

Environment variables are expanded before parsing the YAML content using the os.Expand function.

ClickHouse

You can configure the ClickHouse database credentials in the config:

yaml
ch_cluster:
  cluster: 'uptrace1'
  # Whether to use ClickHouse replication.
  # Cluster name is required when replication is enabled.
  replicated: false
  # Whether to use ClickHouse distributed tables.
  distributed: false

  shards:
    - replicas:
        - addr: localhost:9000
          user: default
          password:
          database: uptrace

To use TLS connections, you need to enable the secure TCP port (9440) in the ClickHouse config:

xml
<?xml version="1.0" ?>
<clickhouse>
  <tcp_port_secure>9440</tcp_port_secure>
  <openSSL>
    <server>
      <certificateFile>/etc/clickhouse-server/server.crt</certificateFile>
      <privateKeyFile>/etc/clickhouse-server/server.key</privateKeyFile>
    </server>
  </openSSL>
</clickhouse>

And then use the port in the Uptrace config:

yaml
ch_cluster:
  cluster: 'uptrace1'
  # Whether to use ClickHouse replication.
  # Cluster name is required when replication is enabled.
  replicated: false
  # Whether to use ClickHouse distributed tables.
  distributed: false

  shards:
    - replicas:
        - addr: localhost:9440
          user: default
          password:
          database: uptrace

          tls:
            # Only for self-signed certificates.
            insecure_skip_verify: true

See TLS for details.

ClickHouse schema

The options described below allow to change the ClickHouse schema generated by Uptrace. For changes to take effect, you must reset the ClickHouse database:

shell
uptrace ch reset

Retention

You can configure data retention for spans and metrics like this:

yaml
ch_schema:
  spans:
    # Delete spans data after 14 days.
    ttl_delete: 14 DAY
    storage_policy: 'default'

  metrics:
    # Delete metrics data after 30 days.
    ttl_delete: 30 DAY
    storage_policy: 'default'

That will cause Uptrace to set TTL toDate(time) + INTERVAL 14 DAY DELETE and SETTINGS storage_policy = 'default' when creating ClickHouse tables.

Compression

You can configure the compression method used in ClickHouse tables like this:

yaml
ch_schema:
  # Compression codec, for example, LZ4, ZSTD(1), or Default.
  compression: ZSTD(1)

Replication

To start replicating ClickHouse tables, you need to:

  1. Configure ClickHouse cluster to have at least 3 replicas:
xml
<clickhouse>
  <remote_servers>
    <uptrace1>
      <shard>
        <internal_replication>true</internal_replication>
        <replica>
          <host>clickhouse-1</host>
          <port>9000</port>
        </replica>
        <replica>
          <host>clickhouse-2</host>
          <port>9000</port>
        </replica>
        <replica>
          <host>clickhouse-3</host>
          <port>9000</port>
        </replica>
      </shard>
    </uptrace1>
  </remote_servers>
</clickhouse>
  1. Update the uptrace.yml config file using the cluster name from the previous step:
yaml
ch_cluster:
  cluster: 'uptrace1'
  # Whether to use ClickHouse replication.
  # Cluster name is required when replication is enabled.
  replicated: true
  1. Reset the ClickHouse database to apply changes:
shell
uptrace ch reset

You can verify that replication is working as expected using clickhouse-client:

sql
SELECT
    database,
    table,
    is_leader,
    replica_is_active
FROM system.replicas

Query id: 8c8fd156-5d8a-4b9f-a2b1-a4af5d498a70

┌─database─┬─table───────────┬─is_leader─┬─replica_is_active────────────────────────┐
│ uptrace  │ spans_data      │         1 │ {'replica1':1,'replica2':1,'replica3':1} │
│ uptrace  │ spans_index     │         1 │ {'replica1':1,'replica2':1,'replica3':1} │
└──────────┴─────────────────┴───────────┴──────────────────────────────────────────┘

S3 storage

ClickHouse supports S3-like storage out-of-the-box and allows to move data to S3 using TTL statements on tables, for example:

sql
CREATE TABLE test (...)
TTL toDate(time) + INTERVAL 30 DAY DELETE,
    toDate(time) + INTERVAL 10 DAY TO VOLUME 's3'

First, you need to create a ClickHouse storage policy by editing config.xml:

xml
<clickhouse>
  <storage_configuration>
    <disks>
      <default>
        <!-- <keep_free_space_bytes>2147483648</keep_free_space_bytes> -->
      </default>

      <s3>
        <type>s3</type>
        <endpoint>http://[BUCKET_NAME].s3.amazonaws.com/prefix/</endpoint>
        <access_key_id>FIXME</access_key_id>
        <secret_access_key>FIXME</secret_access_key>
      </s3>

      <s3_cache>
        <type>cache</type>
        <disk>s3</disk>
        <path>/mnt/ssd1/clickhouse/disks/s3_cache/</path>
        <max_size>50Gi</max_size>
      </s3_cache>
    </disks>

    <policies>
      <tiered>
        <move_factor>0.1</move_factor>

        <volumes>
          <default>
            <disk>default</disk>
          </default>

          <s3>
            <disk>s3_cache</disk>
            <prefer_not_to_merge>true</prefer_not_to_merge>
            <perform_ttl_move_on_insert>0</perform_ttl_move_on_insert>
          </s3>
        </volumes>
      </tiered>
    </policies>
  </storage_configuration>
</clickhouse>

Then, use the following commands to update tables TTL to start moving data to the S3 volume:

shell
ALTER TABLE spans_index MODIFY SETTING storage_policy = 'tiered';

ALTER TABLE spans_index MODIFY TTL toDate(time) + INTERVAL 14 DAY DELETE,
  toDate(time) + INTERVAL 7 DAY TO VOLUME 's3';

You will need to repeat the commands above for every table.

Managing users

On the first startup, Uptrace creates the default user with login admin@localhost.xxx and password admin.

You can configure the default users in the auth section of the config:

yaml
auth:
  # Disable auth using login and password.
  #disabled: true

  # The following users will be created on the first startup.
  users:
    - name: Admin
      email: admin@localhost.xxx
      password: admin

You can also connect Uptrace to Okta, Keycloak, Cloudflare, and Google.

Sending emails

To send email notifications, you need to configure a SMTP mailer:

yaml
##
## To receive email notifications, configure a mailer.
## https://uptrace.dev/features/alerting
##
mailer:
  smtp:
    # Whether to use this mailer for sending emails.
    enabled: true
    # SMTP server host.
    host: localhost
    # SMTP server port.
    port: 1025
    # Username for authentication.
    username: mailhog
    # Password for authentication.
    password: mailhog
    # Uncomment to disable opportunistic TLS.
    #tls: { disabled: true }
    # Emails will be send from this address.
    from: 'uptrace@localhost'

Note that Gmail does not allow to use your real password in mailer.smtp.password. Intead, you should generate an app password for Gmail:

  1. In Gmail, click on your avatar -> "Manage your Google Account".
  2. On the left, click on "Security".
  3. Scroll to "Signing in to Google" and click on "App password".

See Gmail documentation for details.

Changing ports

By default, Uptrace listens on ports 14317 (OTLP/gRPC) and 14318 (OTLP/HTTP) to not conflict with the corresponding OpenTelemetry Collector ports: 4317 and 4318.

You can change the ports in the config, for example:

yaml
listen:
  # OTLP/gRPC API.
  grpc:
    addr: ':4317'
    # tls:
    #   cert_file: config/tls/uptrace.crt
    #   key_file: config/tls/uptrace.key

  # OTLP/HTTP API and Uptrace API with Vue UI.
  http:
    addr: ':4318'
    # tls:
    #   cert_file: config/tls/uptrace.crt
    #   key_file: config/tls/uptrace.key

You can also change the Uptrace domain for Vue-powered UI and DSN/endpoints:

yaml
site:
  # Overrides public URL for Vue-powered UI.
  addr: 'http://uptrace.mydomain.com'

Don't forget to restart Uptrace:

shell
sudo systemctl restart uptrace

TLS

Let's Encrypt

Uptrace supports Let's Encrypt certificates using the certmagic library:

yaml
##
## TLS certificate issuance and renewal using Let's Encrypt.
##
certmagic:
  # Use Let's Encrypt to obtain certificates.
  enabled: false
  # Use Let's Encrypt staging environment.
  staging_ca: false
  http_challenge_addr: ':80'

TLS Server

First, generate a self-signed certificate replacing localhost with your domain:

shell
openssl req -x509 -newkey rsa:4096 -sha256 -days 3650 -nodes \
  -keyout uptrace.key -out uptrace.crt -subj "/CN=localhost" \
  -addext "subjectAltName=DNS:localhost"

Then, add the certificate to the list of trusted certificates:

shell
sudo cp uptrace.crt /usr/local/share/ca-certificates/
sudo update-ca-certificates

Finally, configure Uptrace to start using the certificate you just created:

yaml
listen:
  # OTLP/gRPC API.
  grpc:
    addr: ':14317'
    tls:
      cert_file: config/tls/uptrace.crt
      key_file: config/tls/uptrace.key
      #ca_file path/to/ca_file

  # OTLP/HTTP and Uptrace API with UI.
  http:
    addr: ':14318'
    tls:
      cert_file: config/tls/uptrace.crt
      key_file: config/tls/uptrace.key
      #ca_file path/to/ca_file

You can also change the Uptrace domain for Vue-powered UI:

yaml
site:
  # Overrides public URL for Vue-powered UI.
  addr: 'https://uptrace.mydomain.com'

Don't forget to restart Uptrace:

shell
sudo systemctl restart uptrace

TLS Client

You can also use TLS when connecting to PostgreSQL, ClickHouse, and Kafka:

yaml
ch:
  # Use the host/system certificate.
  tls: {}

ch:
  # Use TLS, but don't verify the server's certificate chain and host name.
  tls:
    insecure_skip_verify: true

ch:
  # Load certificate from the file.
  tls:
    cert_file: path/to/uptrace.crt
    key_file: path/to/uptrace.key
    #ca_file path/to/ca_file

To disable TLS:

yaml
ch:
  tls: null

Instead of enabling insecure_skip_verify, you can also override the server name specified in the server's certificate:

yaml
ch:
  addr: tm849a32za.us-central1.gcp.clickhouse.cloud:9440
  # Use TLS, but override the server name.
  # Required by ClickHouse Cloud.
  tls:
    server_name_override: 'tm849a32za.us-central1.gcp.clickhouse.cloud'

Reverse proxy

If you are running Uptrace behind a proxy such as Nginx or Haproxy, you will need to configure the domain name so that Uptrace knows how to render links and redirects properly:

yaml
site:
  addr: 'https://uptrace.mydomain.com'

You can also run Uptrace behind a subpath, for example, http://mydomain.com/uptrace:

yaml
site:
  addr: 'https://mydomain.com/uptrace'

Scaling

Most of the time Uptrace performance will be limited by the ClickHouse database performance. When scaling ClickHouse, prefer vertical scaling over horizontal scaling.

Here are some quotes from the ClickHouse blog:

We commonly find successful deployments with ClickHouse deployed on servers with hundreds of cores, terabytes of RAM, and petabytes of disk space.

Scaling vertically first has a number of benefits, principally cost efficiency, lower cost of ownership (with respect to operations), and better query performance due to the minimization of data on the network for operations such as JOINs.

With this in mind, Uptrace Community Edition was also designed for vertical scaling. It can support very large deployments with billions of requests per day and millions of time series.

If vertical scaling does not work in your case, you can consider purchasing the Premium edition, which also supports horizontal scaling.