Important: This documentation is about an older version. It's relevant only to the release noted, many of the features and functions have been updated or replaced. Please view the current version.
Grafana Agent collects and forwards telemetry data to open source deployments of the Grafana Stack, Grafana Cloud, or Grafana Enterprise, where your data can then be analyzed. You can install Grafana Agent on Kubernetes and Docker, or as a system process for Linux, macOS, and Windows machines.
Grafana Agent is open source and its source code is available on GitHub at https://github.com/grafana/agent.
Grafana Agent is for engineers, operators, or administrators who want to collect and forward telemetry data for analysis and on-call alerting. Those operating Grafana Agent must install and configure Grafana Agent to properly collect telemetry data and monitor the health of running agents.
There are other ways of sending metrics, logs and traces to the Grafana Stack, Grafana Cloud or Grafana Enterprise, but there are a few advantages of using Grafana Agent. These features are outlined below.
- Provides a one-stop solution for collecting metrics, logs, and traces.
- Collects out-of-the-box telemetry from popular projects like MySQL through integrations
- Works seamlessly with the Grafana Stack. Alternatively, metrics can be sent to any Prometheus-compatible endpoint, and traces can be sent to any OTLP-compatible endpoint.
- Offers new solutions to help scale metrics collection like host_filtering and sharding
- Provides the Grafana Agent Operator, which enables individual teams to manage their configurations through PodMonitors, ServiceMonitors, and Probes.
Grafana Agent focuses metrics support around Prometheus’ remote_write protocol,
so some Prometheus features, such as querying, local storage, recording rules,
and alerts are not present.
remote_write, service discovery, and relabeling
rules are included.
Grafana Agent has a concept of an “instance” each of which acts as
its own mini Prometheus agent with its own
scrape_configs section and
remote_write rules. More than one instance is useful when you want to have
separate configurations that write to two different locations without
needing to consider advanced metric relabeling rules. Multiple instances also
come into play for the Scraping Service Mode.
Grafana Agent for collecting metrics can be deployed in three modes:
The default deployment mode of Grafana Agent is a drop-in
replacement for Prometheus
remote_write. Grafana Agent acts similarly to a
single-process Prometheus, doing service discovery, scraping, and remote
Host filtering configures agents to scrape targets that are running on the same machine as the Grafana Agent process.
- Gets the hostname of the agent by the
HOSTNAMEenvironment variable or through the default.
- Checks if the hostname of the agent matches the label value for
__address__service-discovery-specific node labels against the discovered target.
If the filter passes, the target is scraped. Otherwise, the target is ignored and not scraped.
To use Host Filtering mode, you set a
host_filter flag on a specific
instance inside the Agent’s configuration file. When you set this flag, the
instance only scrapes metrics from targets that are running on the same
machine. This is useful for migrating to sharded
Prometheus instances in a Kubernetes cluster, where the Agent can be deployed as
a DaemonSet and distribute memory requirements across multiple nodes.
Note that Host Filtering mode and sharding your instances means that if an Agent’s metrics are being sent to an alerting system, alerts for that Agent might not be able to be generated if the entire node has problems. This changes the semantics of failure detection, and alerts would have to be configured to catch agents not reporting in.
For more information on the host filtering mode, refer to the operation guide.
Scraping Service Mode
clusters a subset of agents. It acts as a go-between for the drop-in mode
(which does no automatic sharding) and
host_filter mode (which forces sharding
by node). The Scraping Service Mode clusters a set of agents with a set of
shared configurations and distributes the scrape load automatically between them. For
more information on Scraping Service, see Scraping Service.
Grafana Agent supports collecting logs and sending them to Loki using its
loki subsystem. This is done using the upstream
Promtail client, which
is the official first-party log collection client created by the Loki
Grafana Agent collects traces and forwards them to Tempo using its
traces subsystem. This is done using the upstream OpenTelemetry Collector.
Grafana Agent can ingest OpenTelemetry, OpenCensus, Jaeger, Zipkin, or Kafka spans.
For more information on how to configure, refer to receivers.
The Grafana Agent is also capable of exporting to any OpenTelemetry GRPC compatible system.