alloy

Unify metrics, logs, traces, and profiles into config-driven pipelines.

213|18|Updated Mar 17, 2026

Search Tags:#kubernetes #config #telemetry #grafana #opentelemetry #collector #alloy

Ready to run

npx skills add https://github.com/grafana/skills --skill alloy-grafana

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: alloy
Source: https://github.com/grafana/skills/tree/main/skills/grafana-core/alloy
Command: npx skills add https://github.com/grafana/skills --skill alloy-grafana

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Grafana Alloy unifies telemetry collection (metrics, logs, traces, and profiles) into a single configurable pipeline, simplifying deployment and management of observability across environments.

Core Features & Use Cases

Config Language: Use the Alloy config language to define metrics, logs, and traces pipelines with modular components.
Unified Telemetry: Build end-to-end pipelines that route data to Grafana Cloud, Prometheus, Loki, Tempo, or Pyroscope.
Real-World Use: Deploy Alloy to collect and forward telemetry from multiple services, centralizing observability and reducing configuration drift.

Quick Start

Install Alloy and run it with a sample configuration to start collecting telemetry immediately.

Frequently Asked Questions about alloy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I configure unified telemetry pipelines for metrics, logs, and traces?▼

You configure unified telemetry pipelines by writing Alloy configuration language syntax to define modular components that collect metrics, logs, traces, and profiles. This unifies telemetry collection into a single config-driven pipeline, simplifying deployment across environments.

Can I route collected telemetry data to Prometheus, Loki, and Tempo?▼

Yes, you can route collected telemetry data to Prometheus, Loki, Tempo, or Pyroscope. You build end-to-end pipelines using the Alloy config language to forward metrics, logs, traces, and profiles to these destinations, centralizing observability.

What is the best way to manage observability pipelines across a Kubernetes fleet?▼

The best way to manage observability pipelines across a fleet is using Alloy's clustering and fleet remote config features. This config-driven approach applies unified telemetry collection across multi-service applications, reducing configuration drift.

Does Grafana Alloy support OpenTelemetry collection?▼

Yes, Grafana Alloy supports OpenTelemetry collection. It unifies telemetry signals including metrics, logs, traces, and profiles into a single configurable pipeline, compatible with cloud-native deployments using OpenTelemetry standards.

How do I import modules when configuring telemetry collection?▼

You import modules by using the Alloy configuration language syntax, which supports modular component patterns. This allows you to define reusable telemetry pipeline components for metrics, logs, and traces across your services.