CloudChart is an application for monitoring and managing AWS infrastructure.
See the website for more details.
CloudChart accompanies the WIP book on AWS configuration and deployment, Modern Deployment.
NOTE: Although available, CloudChart is still pre-release and should not even be expected to work just yet. A more stable version will be ready soon and hosted on AWS as per Modern Deployment.
CloudChart is under development as a side project. It should not be considered safe for production use. Providing full access your AWS account to any person or application, even if read-only, is a risky proposition.
As per the MIT license, this software comes with absolutely no warranty, and the author will not be held liable if you manage to stuff up any aspect of your AWS environment.
If you choose to run CloudChart at all, I would recommend a private instance with read-only access and a very strong admin password.
Some of the /common/configs
specifications are deliberately incomplete. The missing values will be
populated from the process.env
of the host machine. Refer to the /common/configs
to determine
which environment variables must be set to create new services.
CloudChart is designed to be built with Meteor and run as a Node.js app. To simplify this process, we
use Docker for both building and deploying the app using the Dockerfile
.
Refer to docker-meteor for more detailed instructions, but in summary:
- Install Docker, then
cd
to the CloudChart repo root directory - Build the
orlade/cloudchart
Docker image with# docker build -t orlade/cloudchart .
- Run a CloudChart container with
# docker run --rm -p 3000:3000 -e "MONGO_URL=mongodb://username:password@host/database" -e "ROOT_URL=http://localhost:3000" -e orlade/cloudchart
If manually hosting an instance of MongoDB:
- Run it in the background in a named Docker container like
# docker run --name mydb -d mongo
- Add
--link mydb:db
to thedocker run
command above - Also in the
run
command, replace theMONGO_URL
variable above withmongodb://db