📝 Update port number in docs

docs/deployment.md

@@ -7,7 +7,7 @@ Welcome to Dashy, so glad you're here :) Deployment is super easy, and there are
 If you want to skip the fuss, and [get straight down to it](/docs/quick-start.md), then you can spin up a new instance of Dashy by running:
 
 ```bash
-docker run -p 8080:80 lissy93/dashy
+docker run -p 8080:8080 lissy93/dashy
 ```
 
 See [Management Docs](/docs/management.md) for info about securing, monitoring, updating, health checks, auto starting, web server configuration, etc

docs/quick-start.md

@@ -2,7 +2,7 @@
 
 Welcome to Dashy! So glad you're here 😊 In a couple of minutes, you'll have your new dashboard up and running 🚀
 
-**TLDR;** Run `docker run -p 8080:80 lissy93/dashy`, then open `http://localhost:8080`
+**TLDR;** Run `docker run -p 8080:8080 lissy93/dashy`, then open `http://localhost:8080`
 
 ---
 
@@ -19,7 +19,7 @@ To pull the latest image, and build and start the app run:
 
 ```bash
 docker run -d \
-  -p 8080:80 \
+  -p 8080:8080 \
   -v ~/my-conf.yml:/app/user-data/conf.yml \
   --name my-dashboard \
   --restart=always \

docs/troubleshooting.md

@@ -156,7 +156,7 @@ If you're getting an error about scenarios, then you've likely installed the wro
 Alternatively, as a workaround, you have several options:
 
 - Try using [NPM](https://www.npmjs.com/get-npm) instead: So clone, cd, then run `npm install`, `npm run build` and `npm start`
-- Try using [Docker](https://www.docker.com/get-started) instead, and all of the system setup and dependencies will already be taken care of. So from within the directory, just run `docker build -t lissy93/dashy .` to build, and then use docker start to run the project, e.g: `docker run -it -p 8080:80 lissy93/dashy` (see the [deploying docs](https://github.com/Lissy93/dashy/blob/master/docs/deployment.md#deploy-with-docker) for more info)
+- Try using [Docker](https://www.docker.com/get-started) instead, and all of the system setup and dependencies will already be taken care of. So from within the directory, just run `docker build -t lissy93/dashy .` to build, and then use docker start to run the project, e.g: `docker run -it -p 8080:8080 lissy93/dashy` (see the [deploying docs](https://github.com/Lissy93/dashy/blob/master/docs/deployment.md#deploy-with-docker) for more info)
 
 ---