Prometheus: s/tutorial/usage/

Author: amotl

docs/integrate/prometheus/index.md

@@ -52,7 +52,7 @@ Adapter] stores collected metrics data into CrateDB and
 takes advantage of its high ingestion and query speed to
 massively scale-out Prometheus.
 
-:::{rubric} Guides
+:::{rubric} Learn
 :::
 
 ::::{grid}
@@ -63,8 +63,8 @@ massively scale-out Prometheus.
 Getting started with Prometheus and CrateDB for long-term storage.
 :::
 
-:::{grid-item-card} Storing long-term metrics with Prometheus in CrateDB
-:link: prometheus-tutorial
+:::{grid-item-card} Store Prometheus long-term metrics into CrateDB
+:link: prometheus-usage
 :link-type: ref
 Set up CrateDB as a long-term metrics store for Prometheus using Docker Compose.
 :::
@@ -115,7 +115,7 @@ usage guide.
 :::{toctree}
 :maxdepth: 1
 :hidden:
-Tutorial <tutorial>
+Usage <usage>
 :::
 
 

docs/integrate/prometheus/tutorial.md renamed to docs/integrate/prometheus/usage.md

@@ -1,7 +1,7 @@
-(prometheus-tutorial)=
-# Storing long-term metrics with Prometheus in CrateDB
+(prometheus-usage)=
+# Store Prometheus long-term metrics into CrateDB
 
-This tutorial shows how to:
+This usage guide shows how to:
 
 * Set up Docker Compose to run CrateDB, Prometheus, and the CrateDB Prometheus Adapter
 * Run the applications with Docker Compose
@@ -167,7 +167,7 @@ After a few minutes, Prometheus will have gathered hundreds of thousands of data
 Use CrateDB’s query engine to analyze and visualize this data with tools
 like {ref}`grafana`.
 
-Explore these related tutorials:
+Explore these related resources:
 
 * [Visualizing time‑series data with Grafana and CrateDB](https://cratedb.com/blog/visualizing-time-series-data-with-grafana-and-cratedb)
 * [Monitoring CrateDB with Prometheus and Grafana](https://cratedb.com/blog/monitoring-cratedb-with-prometheus-and-grafana)