diff --git a/docs/quickstart.md b/docs/quickstart.md
index 9b675536e9..2c555e4575 100644
--- a/docs/quickstart.md
+++ b/docs/quickstart.md
@@ -4,7 +4,9 @@
 
 To deploy a new instance of DataHub, perform the following steps.
 
-1. Install [docker](https://docs.docker.com/install/) and [docker-compose](https://docs.docker.com/compose/install/) (if using Linux). Make sure to allocate enough hardware resources for Docker engine. Tested & confirmed config: 2 CPUs, 8GB RAM, 2GB Swap area.
+1. Install [docker](https://docs.docker.com/install/) and [docker-compose](https://docs.docker.com/compose/install/) (if
+   using Linux). Make sure to allocate enough hardware resources for Docker engine. Tested & confirmed config: 2 CPUs,
+   8GB RAM, 2GB Swap area, and 10GB disk space.
 
 2. Launch the Docker Engine from command line or the desktop app.
 
@@ -21,7 +23,8 @@ To deploy a new instance of DataHub, perform the following steps.
    datahub version
    ```
 
-   If you see "command not found", try running cli commands with the prefix 'python3 -m' instead: `python3 -m datahub version`
+   If you see "command not found", try running cli commands with the prefix 'python3 -m'
+   instead: `python3 -m datahub version`
 
 4. To deploy DataHub, run the following CLI command from your terminal
 
@@ -29,14 +32,17 @@ To deploy a new instance of DataHub, perform the following steps.
    datahub docker quickstart
    ```
 
-   Upon completion of this step, you should be able to navigate to the DataHub UI at [http://localhost:9002](http://localhost:9002) in your browser. You can sign in using `datahub` as both the username and password.
+   Upon completion of this step, you should be able to navigate to the DataHub UI
+   at [http://localhost:9002](http://localhost:9002) in your browser. You can sign in using `datahub` as both the
+   username and password.
 
 5. To ingest the sample metadata, run the following CLI command from your terminal
    ```
    datahub docker ingest-sample-data
    ```
 
-That's it! To start pushing your company's metadata into DataHub, take a look at the [Metadata Ingestion Framework](../metadata-ingestion/README.md).
+That's it! To start pushing your company's metadata into DataHub, take a look at
+the [Metadata Ingestion Framework](../metadata-ingestion/README.md).
 
 ## Resetting DataHub
 
@@ -50,8 +56,8 @@ datahub docker nuke
 
 ### Command not found: datahub
 
-If running the datahub cli produces "command not found" errors inside your terminal, your system may be defaulting to an older
-version of Python. Try prefixing your `datahub` commands with `python3 -m`:
+If running the datahub cli produces "command not found" errors inside your terminal, your system may be defaulting to an
+older version of Python. Try prefixing your `datahub` commands with `python3 -m`:
 
 ```
 python3 -m datahub docker quickstart
@@ -60,8 +66,8 @@ python3 -m datahub docker quickstart
 ### Miscellaneous Docker issues
 
 There can be misc issues with Docker, like conflicting containers and dangling volumes, that can often be resolved by
-pruning your Docker state with the following command. Note that this command removes all unused containers, networks, images (both dangling and unreferenced),
-and optionally, volumes.
+pruning your Docker state with the following command. Note that this command removes all unused containers, networks,
+images (both dangling and unreferenced), and optionally, volumes.
 
 ```
 docker system prune