Grafana Agent
Lightweight, OpenTelemetry-compatible telemetry collector that scrapes metrics, tails logs, and collects traces, forwarding all three signals to Grafana Cloud or self-hosted backends.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Credentials for upstream destinations are stored in plaintext config unless environment variable substitution is used. TLS is supported but not enforced by default.
⚡ Reliability
Best When
You want a single unified agent for all three observability signals (metrics, logs, traces) that integrates natively with the Grafana stack.
Avoid When
You are already running the full OpenTelemetry Collector and need its broader ecosystem of receivers and exporters.
Use Cases
- • Agent deploys Grafana Agent on each host to collect Prometheus metrics, journal logs, and OTLP traces in a single process
- • Agent uses Grafana Agent Flow config (River language) to build a metrics pipeline that filters and relabels before remote_write
- • Agent configures Grafana Agent to tail Docker container logs and ship them to Loki with structured labels
- • Agent sets up Grafana Agent as an OTLP endpoint to receive spans from instrumented applications and forward to Tempo
- • Agent uses the Grafana Agent Operator (Kubernetes) to auto-discover services and apply scrape configs via CRDs
Not For
- • Environments requiring a standalone GUI or built-in dashboarding (use Grafana itself for visualization)
- • Complex stateful stream-processing pipelines (use Apache Flink or Kafka Streams)
- • Pulling secrets or config management — it is a telemetry forwarder, not a config system
Interface
Authentication
Self-hosted agent; upstream destinations (Grafana Cloud, Loki, Tempo) require API keys or basic auth configured in the River/YAML config.
Pricing
Agent is fully open source. Costs come from the downstream Grafana Cloud or self-hosted infrastructure.
Agent Metadata
Known Gotchas
- ⚠ River config language (Flow mode) is distinct from the older YAML static mode — documentation for both coexists and can confuse agents
- ⚠ Grafana Agent is being superseded by Grafana Alloy; new deployments should evaluate Alloy instead to avoid a near-term migration
- ⚠ OTLP gRPC receiver and Prometheus scraper run in the same process but have separate memory budgets that are not obvious to tune
- ⚠ Remote write queue settings significantly affect memory usage under high cardinality — defaults can cause OOM in large environments
- ⚠ Service discovery via Kubernetes SD requires specific RBAC permissions that are easy to misconfigure, silently dropping scrape targets
Alternatives
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Scores are editorial opinions as of 2026-03-07.