fix(docs): Installation instruction changes (#23867)

Co-authored-by: Sam Firke <sfirke@users.noreply.github.com>
Co-authored-by: Evan Rusackas <evan@preset.io>

docs/docs/intro.mdx

@@ -13,13 +13,21 @@ geospatial charts.
 
 Here are a **few different ways you can get started with Superset**:
 
-- Download the [source from Apache Foundation's website](https://dist.apache.org/repos/dist/release/superset/)
-- Download the latest Superset version from [Pypi here](https://pypi.org/project/apache-superset/)
-- Setup Superset locally with one command
-  using [Docker Compose](installation/installing-superset-using-docker-compose)
-- Download the [Docker image](https://hub.docker.com/r/apache/superset) from Dockerhub
+- Install Superset [from scratch](https://superset.apache.org/docs/installation/installing-superset-from-scratch/)
+- Deploy Superset locally with one command
+  [using Docker Compose](installation/installing-superset-using-docker-compose)
+- Deploy Superset [with Kubernetes](https://superset.apache.org/docs/installation/running-on-kubernetes)
+- Run a [Docker image](https://hub.docker.com/r/apache/superset) from Dockerhub
+- Download Superset [from Pypi here](https://pypi.org/project/apache-superset/)
 - Install the latest version of Superset
   [from GitHub](https://github.com/apache/superset/tree/latest)
+- Download the [source from Apache Foundation's website](https://dist.apache.org/repos/dist/release/superset/)
+
+#### Video Overview
+
+https://user-images.githubusercontent.com/64562059/234390129-321d4f35-cb4b-45e8-89d9-20ae292f34fc.mp4
+
+#### Features
 
 Superset provides:
 
@@ -36,6 +44,8 @@ Superset provides:
 - An API for programmatic customization
 - A cloud-native architecture designed from the ground up for scale
 
+#### Backend Technology
+
 Superset is cloud-native and designed to be highly available. It was designed to scale out to large,
 distributed environments and works very well inside containers. While you can easily test drive
 Superset on a modest setup or simply on your laptop, there’s virtually no limit around scaling out
@@ -43,11 +53,11 @@ the platform.
 
 Superset is also cloud-native in the sense that it is flexible and lets you choose the:
 
-- web server (Gunicorn, Nginx, Apache),
-- metadata database engine (MySQL, Postgres, MariaDB, etc),
-- message queue (Redis, RabbitMQ, SQS, etc),
-- results backend (S3, Redis, Memcached, etc),
-- caching layer (Memcached, Redis, etc),
+- Web server (Gunicorn, Nginx, Apache),
+- Metadata database engine (PostgreSQL, MySQL, MariaDB),
+- Message queue (Celery, Redis, RabbitMQ, SQS, etc.),
+- Results backend (Redis, S3, Memcached, etc.),
+- Caching layer (Redis, Memcached, etc.)
 
 Superset also works well with services like NewRelic, StatsD and DataDog, and has the ability to run
 analytic workloads against most popular database technologies.