Add video to documentation intro page.

Author: cyriltovena

docs/sources/_index.md

@@ -10,29 +10,33 @@ keywords:
   - profiles datastore
   - observability
 ---
-# Grafana Fire documentation
+<h1 align="center">Grafana Fire documentation</h1>
 
 [//TODO]: <> (Add logo once read)
 
-<p align="center">Grafana Fire is an open source software project for aggregating continuous profiling data. Continuous profiling is
-observability signal allowing you to understand your workload's resources (CPU, memory, etc...) usage down to the line number.</p>
+<p align="center">Grafana Fire is an open source software project for aggregating continuous profiling data. Continuous profiling is an
+observability signal that allows you to understand your workload's resources (CPU, memory, etc...) usage down to the line number.</p>
 
-Grafana Fire fully integrated with Grafana allowing you to **correlate** with other observability signals.
+Grafana Fire is fully integrated with Grafana allowing you to **correlate** with other observability signals, like metrics, logs, and traces.
 
-Some core features of Grafana Fire includes:
+<video style="border-radius: 1%" autoplay loop>
+  <source src="ui.webm" type="video/webm">
+</video>
+
+Core features of Grafana Fire include:
 
 - **Easy to install:** Using its monolithic mode, you can get Grafana Fire up and
   running with just one binary and no additional dependencies. On Kubernetes a single helm chart
   allows to deploy in different mode.
-- **Horizontal scalability:**  You can run Grafana Fire's horizontally-scalable
-  architecture across multiple machines, to accommodate to the volume of workload analyzed.
+- **Horizontal scalability:**  You can run Grafana Fire
+   across multiple machines, which makes it effortless for you to scale the database to handle the profiling volumes your workload generates.
 - **High availability:** Grafana Fire replicates incoming profiles, ensuring that
-  no data is lost in the event of machine failure. Meaning you can rollout without
+  no data is lost in the event of machine failure. This means you can rollout without
   interrupting profiles ingestion and analysis.
-- **Cheap durable profiles:** Grafana Fire uses object storage for long-term data storage,
+- **Cheap, durable profile storage:** Grafana Fire uses object storage for long-term data storage,
   allowing it to take advantage of this ubiquitous, cost-effective, high-durability technology.
   It is compatible with multiple object store implementations, including AWS S3,
   Google Cloud Storage, Azure Blob Storage, OpenStack Swift, as well as any S3-compatible object storage.
 - **Natively multi-tenant:** Grafana Fire's multi-tenant architecture enables you
   to isolate data and queries from independent teams or business units, making it
-  possible for these groups to share the same cluster.
+  possible for these groups to share the same database.