> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mezmo.com/llms.txt
> Use this file to discover all available pages before exploring further.

# About Mezmo Telemetry Pipelines

> Overview of how Mezmo Telemetry Pipelines ingest, process, route, and monitor telemetry data across diverse sources and destinations.

Mezmo Telemetry Pipeline enables organizations to take a new approach towards managing telemetry data.

* Incorporate data from your existing Log Analysis environment, or from entirely new data streams like [AWS Kinesis Firehose](/telemetry-pipelines/kinesis-firehose-source), and the [Mezmo Agent](/telemetry-pipelines/mezmo-agent-source) to capture a diverse range of telemetry data, with new sources being added regularly
* You can use Processors to [encrypt](/telemetry-pipelines/encrypt-fields-processor), [filter](/telemetry-pipelines/filter-processor), [route](/telemetry-pipelines/route-processor), and automate other transformations of your data to make sure that it is tailored to your specific needs for storage and analysis
* Send your processed data to destinations like [AWS S3 Storage](/telemetry-pipelines/s3-destination), [ElasticSearch](/telemetry-pipelines/elasticsearch-destination), and [Mezmo Log Analysis](/telemetry-pipelines/mezmo-destination) so you always know that you will have the data you need in the right place at the right time
* Use  [Pipeline Taps](/telemetry-pipelines/monitor-data-pipelines) to monitor the flow of data in your Pipeline, and [sample Pipeline data in real-time](/telemetry-pipelines/view-pipeline-data) to use in constructing new Pipelines

## Video Overview