Update README.md

Co-authored-by: Kim Nylander <[email protected]>

README.md

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-Grafana Tempo is an open source, easy-to-use, and high-scale distributed tracing backend. Tempo is cost-efficient, requiring only object storage to operate, and is deeply integrated with Grafana, Prometheus, and Loki. It is powered by [TraceQL](https://grafana.com/docs/tempo/latest/traceql/), a traces-first query language inspired by LogQL and PromQL which enables targeted queries or rich UI-driven analyses.
+Grafana Tempo is an open source, easy-to-use, and high-scale distributed tracing backend. Tempo is cost-efficient, requiring only object storage to operate, and is deeply integrated with Grafana, Prometheus, and Loki. 
+
+Tempo is Jaeger, Zipkin, Kafka, OpenCensus, and OpenTelemetry compatible. It ingests batches in any of the mentioned formats, buffers them, and then writes them to Azure, GCS, S3, or local disk. As such, it is robust, cheap, and easy to operate!
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+## TraceQL
+
+Tempo implements [TraceQL](https://grafana.com/docs/tempo/latest/traceql/), a traces-first query language inspired by LogQL and PromQL, which enables targeted queries or rich UI-driven analyses. 
+
+### TraceQL metrics 
+
+[TraceQL metrics](https://grafana.com/docs/tempo/latest/traceql/metrics-queries/) is an experimental feature in Grafana Tempo that creates metrics from traces. Metric queries extend trace queries by applying a function to trace query results. This powerful feature allows for ad hoc aggregation of any existing TraceQL query by any dimension available in your traces, much in the same way that LogQL metric queries create metrics from logs. 
 
 Tempo is Jaeger, Zipkin, Kafka, OpenCensus, and OpenTelemetry compatible. It ingests batches in any of the mentioned formats, buffers them, and then writes them to Azure, GCS, S3, or local disk. As such, it is robust, cheap, and easy to operate!