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250 lines
12 KiB
Markdown
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[#]: collector: (lujun9972)
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[#]: translator: ( )
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[#]: reviewer: ( )
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[#]: publisher: ( )
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[#]: url: ( )
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[#]: subject: (Docker Compose: a nice way to set up a dev environment)
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[#]: via: (https://jvns.ca/blog/2021/01/04/docker-compose-is-nice/)
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[#]: author: (Julia Evans https://jvns.ca/)
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Docker Compose: a nice way to set up a dev environment
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======
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Hello! Here is another post about [computer tools that I’ve appreciated][1]. This one is about Docker Compose!
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This post is mostly just about how delighted I was that it does what it’s supposed to do and it seems to work and to be pretty straightforward to use. I’m also only talking about using Docker Compose for a dev environment here, not using it in production.
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I’ve been thinking about this kind of personal dev environment setup more recently because I now do all my computing with a personal cloud budget of like $20/month instead of spending my time at work thinking about how to manage thousands of AWS servers.
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I’m very happy about this because previous to trying Docker Compose I spent two days getting frustrated with trying to set up a dev environment with other tools and Docker Compose was a lot easier and simpler. And then I told my sister about my docker-compose experiences and she was like “I KNOW, DOCKER COMPOSE IS GREAT RIGHT?!?!” So I thought I’d write a blog post about it, and here we are.
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### the problem: setting up a dev environment
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Right now I’m working on a Ruby on Rails service (the backend for a sort of computer debugging game). On my production server, I have:
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* a nginx proxy
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* a Rails server
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* a Go server (which proxies some SSH connections with [gotty][2])
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* a Postgres database
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Setting up the Rails server locally was pretty straightforward without resorting to containers (I just had to install Postgres and Ruby, fine, no big deal), but then I wanted send `/proxy/*` to the Go server and everything else to the Rails server, so I needed nginx too. And installing nginx on my laptop felt too messy to me.
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So enter `docker-compose`!
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### docker-compose lets you run a bunch of Docker containers
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Docker Compose basically lets you run a bunch of Docker containers that can communicate with each other.
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You configure all your containers in one file called `docker-compose.yml`. I’ve pasted my entire `docker-compose.yml` file here for my server because I found it to be really short and straightforward.
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```
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version: "3.3"
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services:
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db:
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image: postgres
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volumes:
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- ./tmp/db:/var/lib/postgresql/data
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environment:
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POSTGRES_PASSWORD: password # yes I set the password to 'password'
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go_server:
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# todo: use a smaller image at some point, we don't need all of ubuntu to run a static go binary
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image: ubuntu
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command: /app/go_proxy/server
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volumes:
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- .:/app
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rails_server:
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build: docker/rails
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command: bash -c "rm -f tmp/pids/server.pid && source secrets.sh && bundle exec rails s -p 3000 -b '0.0.0.0'"
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volumes:
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- .:/app
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web:
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build: docker/nginx
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ports:
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- "8777:80" # this exposes port 8777 on my laptop
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```
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There are two kinds of containers here: for some of them I’m just using an existing image (`image: postgres` and `image: ubuntu`) without modifying it at all. And for some I needed to build a custom container image – `build: docker/rails` says to use `docker/rails/Dockerfile` to build a custom container.
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I needed to give my Rails server access to some API keys and things, so `source secrets.sh` puts a bunch of secrets in environment variables. Maybe there’s a better way to manage secrets but it’s just me so this seemed fine.
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### how to start everything: `docker-compose build` then `docker-compose up`
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I’ve been starting my containers just by running `docker-compose build` to build the containers, then `docker-compose up` to run everything.
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You can set `depends_on` in the yaml file to get a little more control over when things start in, but for my set of services the start order doesn’t matter, so I haven’t.
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### the networking is easy to use
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It’s important here that the containers be able to connect to each other. Docker Compose makes that super simple! If I have a Rails server running in my `rails_server` container on port 3000, then I can access that with `http://rails_server:3000`. So simple!
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Here’s a snippet from my nginx configuration file with how I’m using that in practice (I removed a bunch of `proxy_set_header` lines to make it more clear)
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```
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location ~ /proxy.* {
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proxy_pass http://go_server:8080;
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}
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location @app {
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proxy_pass http://rails_server:3000;
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}
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```
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Or here’s a snippet from my Rails project’s database configuration, where I use the name of the database container (`db`):
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```
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development:
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<<: *default
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database: myproject_development
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host: db # <-------- this "magically" resolves to the database container's IP address
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username: postgres
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password: password
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```
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I got a bit curious about how `rails_server` was actually getting resolved to an IP address. It seems like Docker is running a DNS server somewhere on my computer to resolve these names. Here are some DNS queries where we can see that each container has its own IP address:
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```
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$ dig +short @127.0.0.11 rails_server
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172.18.0.2
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$ dig +short @127.0.0.11 db
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172.18.0.3
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$ dig +short @127.0.0.11 web
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172.18.0.4
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$ dig +short @127.0.0.11 go_server
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172.18.0.5
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```
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### who’s running this DNS server?
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I dug into how this DNS server is set up a very tiny bit.
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I ran all these commands outside the container, because I didn’t have a lot of networking tools installed in the container.
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**step 1**: find the PID of my Rails server with `ps aux | grep puma`
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It’s 1837916. Cool.
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**step 2**: find a UDP server running in the same network namespace as PID `1837916`
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I did this by using `nsenter` to run `netstat` in the same network namespace as the `puma` process. (technically I guess you could run `netstat -tupn` to just show UDP servers, but my fingers only know how to type `netstat -tulpn` at this point)
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```
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$ sudo nsenter -n -t 1837916 netstat -tulpn
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Active Internet connections (only servers)
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Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name
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tcp 0 0 127.0.0.11:32847 0.0.0.0:* LISTEN 1333/dockerd
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tcp 0 0 0.0.0.0:3000 0.0.0.0:* LISTEN 1837916/puma 4.3.7
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udp 0 0 127.0.0.11:59426 0.0.0.0:* 1333/dockerd
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```
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So there’s a UDP server running on port `59426`, run by `dockerd`! Maybe that’s the DNS server?
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**step 3**: check that it’s a DNS server
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We can use `dig` to make a DNS query to it:
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```
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$ sudo nsenter -n -t 1837916 dig +short @127.0.0.11 59426 rails_server
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172.18.0.2
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```
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But – when we ran `dig` earlier, we weren’t making a DNS query to port 59426, we were querying port 53! What’s going on?
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**step 4**: iptables
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My first guess for “this server seems to be running on port X but I’m accessing it on port Y, what’s going on?” was “iptables”.
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So I ran iptables-save in the container’s network namespace, and there we go:
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```
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$ sudo nsenter -n -t 1837916 iptables-save
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.... redacted a bunch of output ....
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-A DOCKER_POSTROUTING -s 127.0.0.11/32 -p udp -m udp --sport 59426 -j SNAT --to-source :53
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COMMIT
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```
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There’s an iptables rule that sends traffic on port 53 to 59426. Fun!
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### it stores the database files in a temp directory
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One nice thing about this is: instead of managing a Postgres installation on my laptop, I can just mount the Postgres container’s data directory at `./tmp/db`.
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I like this because I really do not want to administer a Postgres installation on my laptop (I don’t really know how to configure Postgres), and conceptually I like having my dev database literally be in the same directory as the rest of my code.
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### I can access the Rails console with `docker-compose exec rails_server rails console`
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Managing Ruby versions is always a little tricky and even when I have it working, I always kind of worry I’m going to screw up my Ruby installation and have to spend like ten years fixing it.
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With this setup, if I need access to the Rails console (a REPL with all my Rails code loaded), I can just run:
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```
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$ docker-compose exec rails_server rails console
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Running via Spring preloader in process 597
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Loading development environment (Rails 6.0.3.4)
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irb(main):001:0>
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```
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Nice!
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### small problem: no history in my Rails console
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I ran into a problem though: I didn’t have any history in my Rails console anymore, because I was restarting the container all the time.
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I figured out a pretty simple solution to this though: I added a `/root/.irbrc` to my container that changed the IRB history file’s location to be something that would persist between container restarts. It’s just one line:
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```
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IRB.conf[:HISTORY_FILE] = "/app/tmp/irb_history"
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```
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### I still don’t know how well it works in production
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Right now my production setup for this project is still “I made a digitalocean droplet and edited a lot of files by hand”.
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I think I’ll try to use docker-compose to run this thing in production. My guess is that it should work fine because this service is probably going to have at most like 2 users at a time and I can easily afford to have 60 seconds of downtime during a deploy if I want, but usually something goes wrong that I haven’t thought of.
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A few notes from folks on Twitter about docker-compose in production:
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* `docker-compose up` will only restart the containers that need restarting, which makes restarts faster
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* there’s a small bash script [wait-for-it][3] that you can use to make a container wait for another service to be available
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* You can have 2 docker-compose.yaml files: `docker-compose.yaml` for DEV, and `docker-compose-prod.yaml` for prod. I think I’ll use this to expose different nginx ports: 8999 in dev and 80 in prod.
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* folks seemed to agree that docker-compose is fine in production if you have a small website running on 1 computer
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* one person suggested that Docker Swarm might be better for a slightly more complicated production setup, but I haven’t tried that (or of course Kubernetes, but the whole point of Docker Compose is that it’s super simple and Kubernetes is certainly not simple :) )
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Docker also seems to have a feature to [automatically deploy your docker-compose setup to ECS][4], which sounds cool in theory but I haven’t tried it.
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### when doesn’t docker-compose work well?
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I’ve heard that docker-compose doesn’t work well:
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* when you have a very large number of microservices (a simple setup is best)
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* when you’re trying to include data from a very large database (like putting hundreds of gigabytes of data on everyone’s laptop)
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* on Mac computers, I’ve heard that Docker can be a lot slower than on Linux (presumably because of the extra VM). I don’t have a Mac so I haven’t run into this.
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### that’s all!
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I spent an entire day before this trying to configure a dev environment by using Puppet to provision a Vagrant virtual machine only to realize that VMs are kind of slow to start and that I don’t really like writing Puppet configuration (I know, huge surprise :)).
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So it was nice to try Docker Compose and find that it was straightforward to get to work!
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--------------------------------------------------------------------------------
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via: https://jvns.ca/blog/2021/01/04/docker-compose-is-nice/
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作者:[Julia Evans][a]
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选题:[lujun9972][b]
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译者:[译者ID](https://github.com/译者ID)
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校对:[校对者ID](https://github.com/校对者ID)
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本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译,[Linux中国](https://linux.cn/) 荣誉推出
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[a]: https://jvns.ca/
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[b]: https://github.com/lujun9972
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[1]: https://jvns.ca/#cool-computer-tools---features---ideas
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[2]: https://github.com/yudai/gotty/
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[3]: https://github.com/vishnubob/wait-for-it
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[4]: https://docs.docker.com/cloud/ecs-integration/
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