Monitor structured logs with Grafana Alloy
Structured logs use a consistent format, such as JSON, to organize data into key-value pairs. This format makes it easier to search, filter, and analyze log data. With Alloy, you can collect your logs, forward them to a Grafana stack, and create dashboards to monitor your system behavior.
The
alloy-scenarios
repository contains complete examples of Alloy deployments.
Clone the repository and use the examples to understand how Alloy collects, processes, and exports telemetry signals.
In this example scenario, Alloy collects log entries over HTTP, parses them into labels and structured metadata, and forwards the results to a Loki destination.
Before you begin
Ensure you have the following:
Note
You need administrator privileges to run
docker
commands.
Clone and deploy the example
Follow these steps to clone the scenarios repository and deploy the monitoring example:
Clone the Alloy scenarios repository:
git clone https://github.com/grafana/alloy-scenarios.git
Start Docker to deploy the Grafana stack:
cd alloy-scenarios/mail-house docker compose up -d
Verify the status of the Docker containers:
docker ps
(Optional) Stop Docker to shut down the Grafana stack when you finish exploring this example:
docker compose down
Monitor and visualize your data
Use Grafana to monitor your deployment’s health and visualize your data.
Monitor Alloy
To monitor the health of your Alloy deployment, open your browser and go to http://localhost:12345.
For more information about the Alloy UI, refer to Debug Grafana Alloy.
Visualize your data
To use the Grafana Logs Drilldown, open your browser and go to http://localhost:3000/a/grafana-lokiexplore-app.
To create a dashboard to visualize your metrics and logs, open your browser and go to http://localhost:3000/dashboards.
Understand the Alloy configuration
This example uses a config.alloy
file to configure the Alloy components for logging.
You can find the config.alloy
file in the cloned repository at alloy-scenarios/mail-house/
.
The configuration includes livedebugging
to stream real-time data to the Alloy UI.
Configure livedebugging
livedebugging
streams real-time data from your components directly to the Alloy UI.
Refer to the
Troubleshooting documentation for more details about this feature.
livedebugging
livedebugging
is disabled by default.
Enable it explicitly through the livedebugging
configuration block to make debugging data visible in the Alloy UI.
livedebugging {
enabled = true
}
Configure logging
The logging configuration in this example requires three components:
loki.source.api
loki.process
loki.write
loki.source.api
The
loki.source.api
component receives log entries over HTTP and forwards them to other Loki components.
In this example, the component requires the following arguments:
listen_address
: The network address the server listens to for new connections. Setting this argument to0.0.0.0
tells the server to listen on all IP addresses.listen_port
: The port the server listens to for new connections.forward_to
: The list of receivers to send log entries to.
loki.source.api "loki_push_api" {
http {
listen_address = "0.0.0.0"
listen_port = 9999
}
forward_to = [
loki.process.labels.receiver,
]
}
loki.process
The
loki.process
component receives log entries from other Loki components, applies processing stages, and forwards the results to the list of receivers.
In this example, the component requires the following arguments:
expressions
: Key-value pairs defining the name of the data extracted and the value it’s populated with.source
: Name from extracted values map to use for the timestamp.format
: Determines how to parse the source string.values
: Key-value pairs defining the label to set and how to look them up.forward_to
: The list of receivers to send log entries to.
loki.write
The
loki.write
component writes logs to a Loki destination.
In this example, the component requires the following argument:
url
: Defines the full URL endpoint in Loki to send logs to.
loki.write "local" {
endpoint {
url = "http://loki:3100/loki/api/v1/push"
}
}