josh/dashy
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Fix formatting in documentation

Browse Source 
Removed trailing whitespaces and extra newlines. Added some missing
punctuation. Replaced unicode characters that aren't commonly used
with the more common character.

The replaced unicode characters are
- ’ (U+2019) to ' (U+0027)
- “ (U+201C) to " (U+0022)
- ” (U+201D) to " (U+0022)
This commit is contained in:
David Alasow
2022-08-22 17:52:07 +02:00
parent bb1e6fa7c9
commit 99463413b1
22 changed files with 151 additions and 156 deletions
Download Patch File Download Diff File Expand all files Collapse all files

18
docs/deployment.md
View File

@@ -66,7 +66,7 @@ For all available options, and to learn more, see the [Docker Run Docs](https://
Dashy is also available through GHCR: `docker pull ghcr.io/lissy93/dashy:latest`
If you're deploying Dashy on a modern ARM-based board, such as a Raspberry Pi (2+), then you'll need to use one of Dashy's ARM images. Set the base image + tag to either `lissy93/dashy:arm64v8` or `lissy93/dashy:arm32v7`, depending on your system architecture. You can also use the `multi-arch` image, which should work on all system architectures.
If you're deploying Dashy on a modern ARM-based board, such as a Raspberry Pi (2+), then you'll need to use one of Dashy's ARM images. Set the base image + tag to either `lissy93/dashy:arm64v8` or `lissy93/dashy:arm32v7`, depending on your system architecture. You can also use the `multi-arch` image, which should work on all system architectures.
The image defaults to `:latest`, but you can instead specify a specific version, e.g. `docker pull lissy93/dashy:release-1.5.0`
@@ -128,11 +128,11 @@ Installing dashy is really simply and fast:
2. Go to ```File Station``` and open the ```docker``` folder. Inside the docker folder, create one new folder and name it ```dashy```.
> Note: Be careful to enter only lowercase, not uppercase letters.
3. Go to Control Panel / Task Scheduler / Create / Scheduled Task / User-defined script.
4. Once you click on ```User-defined``` script a new window will open.
4. Once you click on ```User-defined``` script a new window will open.
5. Follow the instructions below:
6. General: In the Task field type in Install dashy. Uncheck “Enabled” option. Select root User.
7. Schedule: Select Run on the following date then select “Do not repeat“.
8. Task Settings: Check “Send run details by email“, add your email then copy paste the code below in the Run command area. After that click OK.
6. General: In the Task field type in Install dashy. Uncheck "Enabled" option. Select root User.
7. Schedule: Select Run on the following date then select "Do not repeat".
8. Task Settings: Check "Send run details by email", add your email then copy paste the code below in the Run command area. After that click OK.
```
docker run -d \
@@ -247,7 +247,7 @@ https://render.com/deploy?repo=https://github.com/lissy93/dashy/tree/deploy_rend
#### Scalingo
[![Deploy on Scalingo](https://i.ibb.co/nj0KxyH/deploy-scalingo-button.png)](https://my.scalingo.com/deploy?source=https://github.com/lissy93/dashy#master)
[Scalingo](https://scalingo.com/) is a scalable container-based cloud platform as a service. It's focus is on compliance and uptime, and is geared towards enterprise users. Scalingo is also not free, although they do have a 3-day free trial that does not require a payment method
[Scalingo](https://scalingo.com/) is a scalable container-based cloud platform as a service. It's focus is on compliance and uptime, and is geared towards enterprise users. Scalingo is also not free, although they do have a 3-day free trial that does not require a payment method.
To deploy Dashy to Scalingo, use the following link
```
@@ -295,13 +295,13 @@ However without Dashy's node server, there are a couple of features that will be
Dashy works well on a Raspberry Pi (tested on Pi 3 and later), but should also run well on any system.
### Docker
Initial app build causes a spike in resource usage, but once the built app is running it is fairly steady. For this reason, Dashy works best with a minimum of 1GB of memory, and 1GB of disk space.
Initial app build causes a spike in resource usage, but once the built app is running it is fairly steady. For this reason, Dashy works best with a minimum of 1GB of memory, and 1GB of disk space.
### Bare Metal
Minimum 526mb mem, 2GB disk space,
Minimum 526mb mem, 2GB disk space.
### CDN / Cloud Deploy
No specific requirements. The built application alone (without the Node server) is very light-weight, and can be handled smoothly by pretty much any CDN or cloud deployment service (see [this list](/docs/deployment.md#deploy-to-cloud-service) or natively supported cloud providers).
No specific requirements. The built application alone (without the Node server) is very light-weight, and can be handled smoothly by pretty much any CDN or cloud deployment service (see [this list](/docs/deployment.md#deploy-to-cloud-service) or natively supported cloud providers).
If you're using your own icons, or other assets, additional disk space will be required for those resources.