Caution
Grafana Alloy is the new name for our distribution of the OTel collector. Grafana Agent has been deprecated and is in Long-Term Support (LTS) through October 31, 2025. Grafana Agent will reach an End-of-Life (EOL) on November 1, 2025. Read more about why we recommend migrating to Grafana Alloy.
This is documentation for the next version of Agent. For the latest stable release, go to the latest version.
Get started
This set of tutorials contains a collection of examples that build on each other to demonstrate how to configure and use Grafana Agent Flow. It assumes you have a basic understanding of what Grafana Agent is and telemetry collection in general. It also assumes a base level of familiarity with Prometheus and PromQL, Loki and LogQL, and basic Grafana navigation. It assumes no knowledge of Grafana Agent Flow or River concepts.
What is Flow?
Flow is a new way to configure Grafana Agent Flow. It is a declarative configuration language that allows you to define a pipeline of telemetry collection, processing, and output. It is built on top of the River configuration language, which is designed to be fast, simple, and debuggable.
What do I need to get started?
You will need a Linux or Unix environment with Docker installed. The examples are designed to be run on a single host so that you can run them on your laptop or in a VM. You are encouraged to follow along with the examples using a config.river
file and experiment with the examples yourself.
To run the examples, you should have a Grafana Agent binary available. You can follow the instructions on how to Install Grafana Agent as a Standalone Binary to get a binary.
How should I follow along?
You can use this docker-compose file to set up a local Grafana instance alongside Loki and Prometheus pre-configured as datasources. The examples are designed to be run locally, so you can follow along and experiment with them yourself.
version: '3'
services:
loki:
image: grafana/loki:2.9.0
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:latest
ports:
- "3000:3000"
After running docker-compose up
, open http://localhost:3000 in your browser to view the Grafana UI.
The tutorials are designed to be followed in order and generally build on each other. Each example explains what it does and how it works. They are designed to be run locally, so you can follow along and experiment with them yourself.
The Recommended Reading sections in each tutorial provide a list of documentation topics. To help you understand the concepts used in the example, read the recommended topics in the order given.