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README.md |
README.md
Libswarm
A library to orchestrate heterogeneous distributed systems
libswarm is a minimalist toolkit to compose network services.
It exposes a simple API for the following tasks:
* *Clustering*: deploy services on pools of interchangeable machines
* *Composition*: combine multiple services into higher-level services of arbitrary complexity - it's services all the way down!
* *Interconnection*: services can reliably and securely communicate with each other using asynchronous message passing, request/response, or raw sockets.
* *Scale* services can run concurrently in the same process using goroutines and channels; in separate processes on the same machines using high-performance IPC;
on multiple machines in a local network; or across multiple datacenters. * Integration: incorporate your existing systems into your swarm. libswarm includes adapters to many popular infrastructure tools and services: docker, dns, mesos, etcd, fleet, deis, google compute, rackspace cloud, tutum, orchard, digital ocean, ssh, etc. It’s very easy to create your own adapter: just clone the repository at
Testing libswarm with swarmd
Libswarm ships with a simple daemon which can control all machines in your distributed system using a variety of backend adaptors, and exposes it on a single, unified endpoint.
Currently swarmd uses the standard Docker API as its frontend, which means any tool which speaks Docker can control swarmd transparently: dokku, flynn, deis, docker-ui, shipyard, fleet, mesos... and of course the Docker client itself.
Note: in the future swarmd will expose the Docker remote API as "just another backend", and expose its own native API as a frontend.
Usage example:
./swarmd tcp://localhost:4242 &
docker -H tcp://localhost:4242 info
You can listen on several frontend addresses, using any address format supported by Docker. For example:
./swarmd tcp://localhost:4242 tcp://0.0.0.0:1234 unix:///var/run/docker.sock
Backends
Libswarm supports the following backends:
Debug backend
The debug backend simply catches all commands and prints them on the terminal for inspection.
It returns StatusOK
for all commands, and never sends additional data. Therefore, docker
clients which expect data will fail to parse some of the responses.
Usage example:
./swarmd --backend debug tcp://localhost:4242
Simulator backend
The simulator backend simulates a docker daemon with fake in-memory data. The state of the simulator persists across commands, so it's useful to analyse the side-effects of commands, or for mocking and testing.
Currently the simulator only implements the containers
command. It can be passed
arguments at load-time, and will use these arguments as a list of containers.
For example:
./swarmd --backend 'simulator container1 container2 container3' tcp://localhost:4242 &
docker -H tcp://localhost:4242 ps
In this example the docker client should report 3 containers: container1
, container2
and container3
.
Forward backend
The forward backend connects to a remote Docker API endpoint. It then forwards all commands it receives to that remote endpoint, and forwards all responses back to the frontend.
For example:
./swarmd --backend 'simulator myapp' unix://a.sock &
./swarmd --backend 'forward unix://a.sock' unix://b.sock
docker -H unix://b.sock ps
This last command should report 1 container: myapp
.
Creating a new backend
Create a simple my-backend.go:
func MyBackend() engine.Installer {
return &myBackend{}
}
func (f *computeEngineForward) Install(eng *engine.Engine) error {
eng.Register("mybackend", func(job *engine.Job) engine.Status {
job.Eng.Register("containers", func(job *engine.Job) engine.Status {
log.Printf("%#v", *job)
return engine.StatusOK
})
return engine.StatusOK
})
return nil
}
Then edit backends.go, and add your backend:
...
MyBackend().Install(back)
...
Creators
Solomon Hykes
Copyright and license
Code and documentation copyright 2013-2014 Docker, inc. Code released under the Apache 2.0 license. Docs released under Creative commons.