---
title: "Safe experimentation workflow | Grafana Labs"
description: "How to safely roll out configuration changes"
---

> For a curated documentation index, see [llms.txt](/llms.txt). For the complete documentation index, see [llms-full.txt](/llms-full.txt).

## Safe experimentation workflow

1. Create pipeline
2. Set matcher for ONE test collector (e.g., collector.ID=“test-collector-01”)
3. Activate and verify
4. Expand matcher to small group (e.g., env=“staging”)
5. Verify at scale
6. Expand to full target (e.g., env=“production”)

## The confidence equation

> **Isolation + Fallback + Instant rollback + Targeted testing = Safe to experiment**

You’re not gambling with production. You’re making controlled changes with multiple safety nets. Start small, verify, expand.

## Coming up next

You’ll categorize your collector fleet in the learning path. You’ll assign attributes like `team`, `service.name`, and `env`—the foundation that makes targeted configuration and safe rollouts possible.