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Replace "fig" with "docker-compose" in both postgres and swarm

Tianon Gravi 8 年之前
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共有 2 个文件被更改,包括 2 次插入2 次删除
  1. 1 1
      postgres/content.md
  2. 1 1
      swarm/content.md

+ 1 - 1
postgres/content.md

@@ -97,4 +97,4 @@ Since database initialization only happens on container startup, this allows us
 
 # Caveats
 
-If there is no database when `postgres` starts in a container, then `postgres` will create the default database for you. While this is the expected behavior of `postgres`, this means that it will not accept incoming connections during that time. This may cause issues when using automation tools, such as `fig`, that start several containers simultaneously.
+If there is no database when `postgres` starts in a container, then `postgres` will create the default database for you. While this is the expected behavior of `postgres`, this means that it will not accept incoming connections during that time. This may cause issues when using automation tools, such as `docker-compose`, that start several containers simultaneously.

+ 1 - 1
swarm/content.md

@@ -4,7 +4,7 @@
 
 `swarm` is a simple tool which controls a cluster of Docker hosts and exposes it as a single "virtual" host.
 
-`swarm` uses the standard Docker API as its frontend, which means any tool which speaks Docker can control swarm transparently: dokku, fig, krane, flynn, deis, docker-ui, shipyard, drone.io, Jenkins... and of course the Docker client itself.
+`swarm` uses the standard Docker API as its frontend, which means any tool which speaks Docker can control swarm transparently: dokku, docker-compose, krane, flynn, deis, docker-ui, shipyard, drone.io, Jenkins... and of course the Docker client itself.
 
 Like the other Docker projects, `swarm` follows the "batteries included but removable" principle. It ships with a simple scheduling backend out of the box, and as initial development settles, an API will develop to enable pluggable backends. The goal is to provide a smooth out-of-box experience for simple use cases, and allow swapping in more powerful backends, like `Mesos`, for large scale production deployments.