Menu
Documentationbreadcrumb arrow Grafana Cloudbreadcrumb arrow Instrument and send databreadcrumb arrow Grafana Alloybreadcrumb arrow Tutorialsbreadcrumb arrow Send logs to Loki
Grafana Cloud

Use Grafana Alloy to send logs to Loki

This tutorial shows you how to configure Alloy to collect logs from your local machine, filter non-essential log lines, send them to Loki, and use Grafana to explore the results.

Before you begin

To complete this tutorial:

  • You must have a basic understanding of Alloy and telemetry collection in general.
  • You should be familiar with Prometheus, PromQL, Loki, LogQL, and basic Grafana navigation.

Tip

Alternatively, you can try out this example in our interactive learning environment: Sending Logs to Loki.

It’s a fully configured environment with all the dependencies already installed.

Interactive

Install Alloy and start the service

This tutorial requires a Linux or macOS environment with Docker installed.

Linux

Install and run Alloy on Linux.

  1. Install Alloy.
  2. Run Alloy.

macOS

Install and run Alloy on macOS.

  1. Install Alloy.

  2. Run Alloy.

You should now be able to access the Alloy UI at http://localhost:12345.

Set up a local Grafana instance

In this tutorial, you configure Alloy to collect logs from your local machine and send them to Loki. You can use the following Docker Compose file to set up a local Grafana instance. This Docker Compose file includes Loki and Prometheus configured as data sources.

  1. Create a new directory and save the Docker Compose file as docker-compose.yml.

    bash 
    mkdir alloy-tutorial
cd alloy-tutorial
touch docker-compose.yml

  2. Copy the following Docker Compose file into docker-compose.yml.

    yaml 
     version: '3'
 services:
   loki:
     image: grafana/loki:3.0.0
     ports:
       - "3100:3100"
     command: -config.file=/etc/loki/local-config.yaml
   prometheus:
     image: prom/prometheus:v2.47.0
     command:
       - --web.enable-remote-write-receiver
       - --config.file=/etc/prometheus/prometheus.yml
     ports:
       - "9090:9090"
   grafana:
     environment:
       - GF_PATHS_PROVISIONING=/etc/grafana/provisioning
       - GF_AUTH_ANONYMOUS_ENABLED=true
       - GF_AUTH_ANONYMOUS_ORG_ROLE=Admin
     entrypoint:
       - sh
       - -euc
       - |
         mkdir -p /etc/grafana/provisioning/datasources
         cat <<EOF > /etc/grafana/provisioning/datasources/ds.yaml
         apiVersion: 1
         datasources:
         - name: Loki
           type: loki
           access: proxy
           orgId: 1
           url: http://loki:3100
           basicAuth: false
           isDefault: false
           version: 1
           editable: false
         - name: Prometheus
           type: prometheus
           orgId: 1
           url: http://prometheus:9090
           basicAuth: false
           isDefault: true
           version: 1
           editable: false
         EOF
         /run.sh
     image: grafana/grafana:11.0.0
     ports:
       - "3000:3000"

  3. To start the local Grafana instance, run the following command.

    bash 
     docker compose up -d

    Note

    If you encounter the following error when you start your Docker container, docker: 'compose' is not a docker command, use the command docker-compose up to start your Docker container.

  4. Open http://localhost:3000 in your browser to access the Grafana UI.

Configure Alloy

After the local Grafana instance is set up, the next step is to configure Alloy. You use components in the config.alloy file to tell Alloy which logs you want to scrape, how you want to process that data, and where you want the data sent.

The examples run on a single host so that you can run them on your laptop or in a Virtual Machine. You can try the examples using a config.alloy file and experiment with the examples.

Create a config.alloy file

Create a config.alloy file within your current working directory.

bash 
touch config.alloy

First component: Log files

Copy and paste the following component configuration at the top of the file.

alloy 
 local.file_match "local_files" {
     path_targets = [{"__path__" = "/var/log/*.log"}]
     sync_period = "5s"
 }

This configuration creates a local.file_match component named local_files which does the following:

  • It tells Alloy which files to source.
  • It checks for new files every 5 seconds.

Second component: Scraping

Copy and paste the following component configuration below the previous component in your config.alloy file:

alloy 
  loki.source.file "log_scrape" {
    targets    = local.file_match.local_files.targets
    forward_to = [loki.process.filter_logs.receiver]
    tail_from_end = true
  }

This configuration creates a loki.source.file component named log_scrape which does the following:

  • It connects to the local_files component as its source or target.
  • It forwards the logs it scrapes to the receiver of another component called filter_logs.
  • It provides extra attributes and options to tail the log files from the end so you don’t ingest the entire log file history.

Third component: Filter non-essential logs

Filtering non-essential logs before sending them to a data source can help you manage log volumes to reduce costs.

The following example demonstrates how you can filter out or drop logs before sending them to Loki.

Copy and paste the following component configuration below the previous component in your config.alloy file:

alloy 
  loki.process "filter_logs" {
    stage.drop {
        source = ""
        expression  = ".*Connection closed by authenticating user root"
        drop_counter_reason = "noisy"
      }
    forward_to = [loki.write.grafana_loki.receiver]
    }

The loki.process component allows you to transform, filter, parse, and enrich log data. Within this component, you can define one or more processing stages to specify how you would like to process log entries before they’re stored or forwarded.

This configuration creates a loki.process component named filter_logs which does the following:

  • It receives scraped log entries from the default log_scrape component.
  • It uses the stage.drop block to define what to drop from the scraped logs.
  • It uses the expression parameter to identify the specific log entries to drop.
  • It uses an optional string label drop_counter_reason to show the reason for dropping the log entries.
  • It forwards the processed logs to the receiver of another component called grafana_loki.

The loki.process documentation provides more comprehensive information on processing logs.

Fourth component: Write logs to Loki

Copy and paste this component configuration below the previous component in your config.alloy file.

alloy 
  loki.write "grafana_loki" {
    endpoint {
      url = "http://localhost:3100/loki/api/v1/push"

      // basic_auth {
      //  username = "admin"
      //  password = "admin"
      // }
    }
  }

This final component creates a loki.write component named grafana_loki that points to http://localhost:3100/loki/api/v1/push.

This completes the simple configuration pipeline.

Tip

The basic_auth block is commented out because the local docker compose stack doesn’t require it. It’s included in this example to show how you can configure authorization for other environments. For further authorization options, refer to the loki.write component reference.

With this configuration, Alloy connects directly to the Loki instance running in the Docker container.

Reload the configuration

  1. Copy your local config.alloy file into the default Alloy configuration file location.

    macos 
    sudo cp config.alloy $(brew --prefix)/etc/alloy/config.alloy
    linux 
    sudo cp config.alloy /etc/alloy/config.alloy

  2. Call the /-/reload endpoint to tell Alloy to reload the configuration file without a system service restart.

    bash 
     curl -X POST http://localhost:12345/-/reload

    Tip

    This step uses the Alloy UI on localhost port 12345. If you chose to run Alloy in a Docker container, make sure you use the --server.http.listen-addr=0.0.0.0:12345 argument. If you don’t use this argument, the debugging UI won’t be available outside of the Docker container.

  3. Optional: You can do a system service restart Alloy and load the configuration file.

macos 
brew services restart alloy
linux 
sudo systemctl reload alloy

Inspect your configuration in the Alloy UI

Open http://localhost:12345 and click the Graph tab at the top. The graph should look similar to the following:

Your configuration in the Alloy UI

The Alloy UI shows you a visual representation of the pipeline you built with your Alloy component configuration.

You can see that the components are healthy, and you are ready to explore the logs in Grafana.

Log in to Grafana and explore Loki logs

Open http://localhost:3000/explore to access Explore feature in Grafana.

Select Loki as the data source and click the Label Browser button to select a file that Alloy has sent to Loki.

Here you can see that logs are flowing through to Loki as expected, and the end-to-end configuration was successful.

Logs reported by Alloy in Grafana

Summary

You have installed and configured Alloy, and sent logs from your local host to your local Grafana stack.

In the next tutorial, you learn more about configuration concepts and metrics.