---
title: "Destination reached! | Grafana Labs"
description: "Celebrate completing the Adaptive Metrics journey and discover next steps to extend optimization across telemetry and cost management."
---

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

# Destination reached!

Congratulations on completing this journey! Job well done!

We hope you’ve enjoyed traveling with us as you:

- Reduced metric cardinality while preserving dashboard and alert fidelity
- Reviewed and safely applied optimization recommendations
- Created custom aggregation, drop rules, and exemptions to protect critical series
- Segmented metrics for team and service ownership
- Enabled auto-apply for continuous, hands-off optimization
- Monitored results to validate cost and performance impact

Where to next?

Now that your metrics are optimized, you can:

- Reduce noisy log data and manage ingestion volume with **Adaptive Logs**: Refer to [Adaptive Logs](/docs/grafana-cloud/adaptive-telemetry/adaptive-logs/)
- Sample and prioritize trace data efficiently using **Adaptive Traces**: Refer to [Adaptive Traces](/docs/grafana-cloud/adaptive-telemetry/adaptive-traces/)
- Monitor long-term savings and usage trends: Refer to [Understand metrics usage and cost](/docs/grafana-cloud/cost-management-and-billing/understand-usage-cost/metrics/)
- Automate metric optimization at scale via Terraform or API workflows: Refer to [Adaptive Metrics Terraform provider](//docs/grafana-cloud/adaptive-telemetry/adaptive-metrics/manage-as-code/adaptive-metrics-terraform-provider/) and [Adaptive Metrics API](/docs/grafana-cloud/adaptive-telemetry/adaptive-metrics/manage-as-code/adaptive-metrics-api/)