Vision

🚀 Quickly and securely turn any Linux box into a build and deployment assistant.

🔓 Both the Ayup server and client are open source. The Ayup server can run on most Linux systems and the client on Linux, Mac and (eventually) Windows.

🌐 Web applications have their ports forwarded to the client. Allowing them to be accessed as if they were running locally. Applications can also be served on a sub-domain of the server via the builtin proxy.

🛠️ Figuring out how to generate, build or serve your app is left to pluggable assistants. These can be written in any language and are ran inside a container.

State / Roadmap

Ayup is in the early stages of production. Presently the focus is on generalising it by offloading work into generic assistants.

Tasks

Some of the things that have been done so far are

• Quick source upload
• Build and serve Python applications of a particular form
• Port forwarding to client with fixed ports
• Subdomain routing
• Build and run applications with a Dockerfile
• Secure server login and connection
• Rootless (run as a normal user)

In the pipeline (in no particular order)

• Detect appropriate ports to forward
• Multiple simultaneous applications
• Pluggable analysis/build/run step(s)
• All-in-one executable
• Watch mode for build and deploy on save
• Deploy itself in daemon mode

Install

Client

The client CLI can be installed by copying the following into a terminal session:

curl -#L https://github.com/raw/premAI-io/Ayup/main/script/install.sh | sh

Or you can download the executable from the release page. It's just one file, you can copy it to /usr/bin or wherever you put executables on your system.

Presently the server is in the same executable as the client. However it has some dependencies.

Server

There are two easy ways to install the server: Nix and Docker. In both cases installing and running are practically the same operation.

For Docker you can do

$ mkdir ~/.config/ayup
$ docker run --privileged --rm -it -v ~/.config/ayup:/etc/ayup -p 50051:50051 premai/ayup:latest ay daemon start --host=/ip4/0.0.0.0/tcp/50051

Tip

The Ayup server only supports Linux, but Docker Desktop should be able to run it on Windows and Mac.

With Nix you can start a shell and run ay

$ nix shell github:premAI-io/Ayup
$ ay daemon start --host=/ip4/0.0.0.0/tcp/50051

See the development section for more information on Nix.

To install the server manually, follow the instructions for the client and then install the dependencies listed in distros/nix/server.nix.

Running

Server

To start Ayup listening for local connections do

$ ay daemon start

To run it securely on a remote computer listening on all addresses do

$ ay daemon start --host=/ip4/0.0.0.0/tcp/50051

This sets the listen address to a libp2p multiaddress, when Ayup sees this it will only allow encrypted connections using libp2p.

Ayup will print details on how to login to the server from a client. This requires shell access to the Ayup server so that you can interactively authorize the client.

Note

The IP address in the printed multiaddress will only be accessible locally when using Docker. It may need to be replaced with the host's public IP or DNS name. For e.g /dns4/example.com/tcp/50051/p2p/1...

Clients can also be pre-authorized by adding their peer IDs to AYUP_P2P_AUTHORIZED_CLIENTS

Client

If the Ayup server is running locally, then all you need to do is change to a source code directory and run ay push

Otherwise you first need to login. The server prints the login command you need to use, it will look something like:

$ ay login /ip4/192.168.0.1/tcp/50051/p2p/1...

If you need to get the clients peer ID to pre-authorize it then just run login with a nonsense address

$ ay login foo

Login always prints the client's peer ID.

The login command will set AYUP_PUSH_HOST in ~/.config/ayup/env to the address we used to login to. So that ay push will use it by default. You can override it in the environment or by using --host.

Config

All of Ayup's configuration is done via environment variables or command line switches. However you can also set environment variables in ~/.config/ayup/env which is in the usual dotenv format.

Settings you choose interactively will be persisted to the env file if possible. Command line switches and environment variables take precedence over the env file.

You can see all available config using the --help switch e.g. ay push --help, ay daemon start --help

Examples

There is an examples directory that contains some applications that are known to work with Ayup.

For example you can do

$ cd $AYUP_SRC/examples/hello-world-flask
$ ay push

You can also run it on its self

$ cd $AYUP_SRC
$ ay push

Presently it just produces the help output.

Development

Ayup is a standard Go project and thus easy to build in most environments. However Nix is used to provide the reference development and build environment.

1. Install Nix with flakes/"experimental" features enabled (e.g. use https://github.com/DeterminateSystems/nix-installer)
2. cd Ayup

Then there is a choice between using the Nix dev shell...

3. nix develop (I add --command fish to my nix command to use Fish instead of Bash)
4. script/gen-src.sh
5. go build -race -o bin/ay ./go
6. ./bin is added to the path by Nix so now you can run ay

Or using Nix to build/run the project...

3. nix run .#server run the server
4. nix run .#cli run the cli

Also you don't need to Git clone this project onto a system to run it with Nix. You can run the flake from this repo with

nix run github:premAI-io/Ayup#<server,cli>

Or if you want to try out a dev branch

nix run github:<user>/<repo>/<branch>#<server,cli>

Logs and tracing

Open Telemetry is used to collect logs and traces which requires some kind of collector and UI. To use Jaeger on your local system do

docker run -d --name jaeger \
                    -e COLLECTOR_OTLP_ENABLED=true \
                    -p 16686:16686 \
                    -p 4317:4317 \
                    -p 4318:4318 \
                    jaegertracing/all-in-one:latest

Note that the collector must support gRPC traces.

Ayup only sends traces if the standard environment variable is set

OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317 ay ...

You can view the traces at http://localhost:16686 or wherever the collector/viewer is hosted.

Continuous tracing can be collected with Pyroscope.

docker run -d -p 4040:4040 grafana/pyroscope

And the environment var

PYROSCOPE_ADHOC_SERVER_ADDRESS=http://localhost:4040 ay ...

Follow

If you are interested in following Ayup's development then see the discussions dev log or find me (Richard Palethorpe) on social media.

Contact

The main point of contact for this project is Richard Palethorpe, richard@premai.io. You can use the discussions, e-mail or find me elsewhere with questions, suggestions or feedback.