> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://mezmo.ferndocs.com/9-next-steps/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://mezmo.ferndocs.com/_mcp/server.

# What's Next?

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## Recap

We have succesfully integrated OpenTelemetry Telemetry data (logs, metrics and traces) and optimized that data to support problem resolution as well as minimize overall observability costs.  You should have Pipelines that looks like

* Log Profiling Pipeline

![Final Pipeline: Log Exploration](https://uploads.developerhub.io/prod/2KW7/ucu8ejagcu95s5bruxkdlaph0hutxwfmwdi5w2obnodjs12njpc0u90x5dgf2ap6.png)

* Log Handler Pipeline

![Final Pipeline: Log Handler](https://uploads.developerhub.io/prod/2KW7/845f7ibgrq7msk23iz5k674c4h9hvk3o3fhqnk3ntupbvmmb3t3h46g17ga5qfsm.png)

* Metric Handler Pipeline

![Final Pipeline: Metric Handler](https://uploads.developerhub.io/prod/2KW7/zfeyv5kpsfbp53i30bzqf1nkmkhbb2ao2dao6ot4tvo8khm0kyegmwou8q506vor.png)

* Trace Handler Pipeline

![Final Pipeline: Trace Handler](https://uploads.developerhub.io/prod/2KW7/qbjn998isai8mphkj69or6ao54x00vkd5mytkmaen461fwarxob44v1y1gjmlkzw.png)

## Learn More

This tutorial has given you practice into the very basic capabilities of the Mezmo Telemetry Pipeline. There are a host of other value functions like:

* Data archiving and rehydration
* Alerting
* Confidential and PII data detection and redaction
* Data parsing
* Shared processor groups
* Data Aggregation

of which you can take advantage. Please visit the [Mezmo Docs Library ](https://docs.mezmo.com)for more on these and other capabilities - or reach out to Mezmo through Mezmo Chat for further assistance.