---
title: "The value of Adaptive Logs | Grafana Labs"
description: "Understand how Adaptive Logs helps you control costs, improve performance, and maintain observability quality as log volume grows."
---

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

# The value of Adaptive Logs

As your observability footprint grows, log data can multiply fast — often faster than you need it to.

Adaptive Logs is enabled by default, continuously analyzing your log patterns in the background to find optimization opportunities.

This helps you:

- Lower ingestion and storage costs
- Speed up Explore queries and dashboards that render logs
- Maintain observability quality as your environment grows
- Automate ongoing optimization to prevent log sprawl

You can arrive at Adaptive Logs from different Grafana workflows depending on the problem you’re trying to solve.

No matter where you begin, this journey shows how to analyze and optimize logs, so you keep only the data that delivers value.

## Common entry points

Expand table

| Problem                                                                          | Entry Point                   | Why Use Adaptive Logs                                                                                         |
|----------------------------------------------------------------------------------|-------------------------------|---------------------------------------------------------------------------------------------------------------|
| You see a spike in log ingestion or cost, or receive a Billing & Usage alert | Cost Management & Billing | Identify which streams drive the increase and reduce redundant events or overly granular labels to lower cost |
| Explore searches feel slow or time out                                           | Explore                       | Find and optimize high-volume log patterns causing performance issues                                         |
| Alerts or SLO tracking tied to logs seem noisy or unstable                       | Alerting or SLOs              | Remove duplicate, low-value, or overly granular logs that distort alert conditions                            |
| You want to maintain consistent performance and cost control                     | Routine observability hygiene | Review recommendations and automate log optimization on a schedule                                            |

In the next milestone, you learn how Adaptive Logs works.

* * *

### More to explore (optional)

At this point in your journey, you can explore the following paths:

- [Adaptive Telemetry](/docs/grafana-cloud/adaptive-telemetry/)