Debugging remote Node.js application running in a Docker container
Teaser
Suppose you want to debug a Node.js application already running on a remote machine inside Docker container. And would like to do it without modifying command arguments (enabling debug
mode) and opening remote Node.js debugger agent port to the whole world.
I bet you didn’t know that it’s possible and also have no idea how to do it.
I encourage you to continue reading this post if you are eager to learn some new cool stuff.
The TodoMVC demo application
I’m using the fork of TodoMVC Node.js application (by Gleb Bahmutov) as a demo application for this blog post. Feel free to clone and play with this repository.
Here is the Dockerfile
, I’ve added, for TodoMVC application. It allows to run TodoMVC application inside a Docker container.
FROM alpine:3.5
# install node
RUN apk add --no-cache nodejs-current tini
RUN mkdir -p /usr/src/app
WORKDIR /usr/src/app
# Build time argument to set NODE_ENV ('production'' by default)
ARG NODE_ENV
ENV NODE_ENV ${NODE_ENV:-production}
# install npm packages: clean obsolete files
COPY package.json /usr/src/app/
RUN npm config set depth 0 && \
npm install && \
npm cache clean && \
rm -rf /tmp/*
# copy source files
COPY . /usr/src/app
EXPOSE 3000
# Set tini as entrypoint
ENTRYPOINT ["/sbin/tini", "--"]
CMD [ "npm", "start" ]
# add VCS labels for code sync and nice reports
ARG VCS_REF="local"
LABEL org.label-schema.vcs-ref=$VCS_REF \
org.label-schema.vcs-url="https://github.com/alexei-led/todomvc-express.git"
Building and Running TodoMVC in a Docker container:
To build a new Docker image for TodoMVC application, run the docker build
command.
$ # build Docker image; set VCS_REF to current HEAD commit (short)
$ docker build -t local/todomvc --build-arg VCS_REF=`git rev-parse --short HEAD` .
$ # run TodoMVC in a Docker container
$ docker run -d -p 3000:3000 --name todomvc local/todomvc node src/start.js
The Plan
Final Goal - I would like to be able to attach a Node.js debugger to a Node.js application already up and running inside a Docker container, running on remote host machine in AWS cloud, without modifying the application, container, container configuration or restarting it with additional debug
flags. Imagine that the application is running and there is some problem happening right now - I want to connect to it with debugger and start looking at the problem.
So, I need a plan - a step by step flow that will help me to achieve the final goal.
Let’s start with exploring the inventory. On the server (AWS EC2 VM) machine, I have a Node.js application running inside a Docker container. On the client (my laptop), I have an IDE (Visual Studio Code, in my case), Node.js application code (git pull/clone
) and a Node.js debugger.
So, here is my plan:
- Set already running application to
debug
mode - Expose a new Node.js debugger agent port to enable remote debugging in a secure way
- Syncronize client-server code: both should be on the same commit in
git
tree - Attach a local Node.js debugger to the Node.js debugger agent port on remote server and do it in a secure way
- And, if everything works, I should be able to perform regular debugging tasks, like setting breakpoints, inspecting variables, pausing execution and others.
Step 1: set already running Node.js application to the debug
mode
The V8 debugger can be enabled and accessed either by starting Node with the
--debug
command-line flag or by signaling an existing Node process withSIGUSR1
. (Node API documentation)
Cool! So, in order to switch on Node debugger agent, I just need to send the SIGUSR1
signal to the Node.js process of TodoMVC application. Remember, it’s running inside a Docker container. What command can I use to send process signals to an application running in a Docker container?
The docker kill
- is my choice! This command does not actually “kill” the PID 1
process, running in a Docker container, but sends a Unix signal to it (by default it sends SIGKILL
).
Setting TodoMVC into debug
mode
So, all I need to do is to send SIGUSR1
to my TodoMVC application running inside todomvc
Docker container.
There are two ways to do this:
- Use
docker kill --signal
command to sendSIGUSR1
toPID 1
process running inside Docker container, and if it’s a “proper” (signal forwarding done right) init application (liketini
), than this will work - Or execute
kill -s SIGUSR1
inside already running Docker container, sendingSIGUSR1
signal to the main Node.js process.
$ # send SIGUSR1 with docker kill (if using proper init process)
$ docker kill --signal SIGUSR1 todomvc
$ # OR run kill command for node process inside todomvc container
$ docker exec -it todomvc sh -c 'kill -s SIGUSR1 $(pidof -s node)'
Let’s verify that Node application is set into debug
mode.
$ docker logs todomvc
TodoMVC server listening at http://:::3000
emitting 2 todos
server has new 2 todos
GET / 200 31.439 ms - 3241
GET /app.css 304 4.907 ms - -
Starting debugger agent.
Debugger listening on 127.0.0.1:5858
As you can see the Node.js debugger agent was started, but it can accept connections only from the localhost
, see the last output line: Debugger listening on 127.0.0.1:5858
Step 2: expose Node debug port
In order to attach a remote Node.js debugger to a Node application, running in the debug
mode, I need:
- Allow connection to debugger agent from any (or specific) IP (or IP range)
- Open port of Node.js debugger agent outside of Docker container
How to do it when an application is already running in a Docker container and a Node.js debugger agent is ready to talk only with a Node.js debugger running on the same machine, plus a Node.js debugger agent port is not accessible from outside of the Docker container?
Of cause it’s possible to start every Node.js Docker container with exposed debugger port and allow connection from any IP (using --debug-port
and --debug
Node.js flags), but we are not looking for easy ways :).
It’s not a good idea from a security point of view (allowing unprotected access to a Node.js debugger). Also, if I restart an already running application with debug flags, I’m going to loose the current execution context and may not be able to reproduce the problem I wanted to debug.
I need a better solution!
Unfortunately, Docker does not allow to expose an additional port of already running Docker container. So, I need somehow connect to a running container network and expose a new port for Node.js debugger agent.
Also, it is not possible to tell a Node.js debugger agent to accept connections from different IP addresses, when Node.js process was already started.
Both of above problems can be solved with help of the small Linux utility called socat
(SOcket CAT). This is just like the netcat
but with security in mind (e.g., it support chrooting) and works over various protocols and through files, pipes, devices, TCP sockets, Unix sockets, a client for SOCKS4, proxy CONNECT, or SSL etc.
From socat
man page:
socat
is a command line based utility that establishes two bidirectional byte streams and transfers data between them. Because the streams can be constructed from a large set of different types of data sinks and sources (see address types), and because lots of address options may be applied to the streams,socat
can be used for many different purposes.
Exactly, what I need!
So, here is the plan. I will run a new Docker container with the socat
utility onboard, and configure Node.js debugger port forwarding for TodoMVC container.
socat.Dockerfile
:
FROM alpine:3.5
RUN apk add --no-cache socat
CMD socat -h
Building socat Docker container
$ docker build -t local/socat - < socat.Dockerfile
Allow connection to Node debugger agent from any IP
I need to run a “sidecar” socat
container in the same network namespace as the todomvc
container and define a port forwarding.
$ # define local port forwarding
$ docker run -d --name socat-nid --network=container:todomvc local/socat socat TCP-LISTEN:4848,fork TCP:127.0.0.1:5858
Now any traffic that arrives at 4848
port will be routed to the Node.js debugger agent listening on 127.0.0.1:5858
. The 4848
port can accept traffic from any IP.
It’s possible to use an IP range to restrict connection to the socat
listening port, adding range=<ANY IP RANGE>
option.
Exposing Node.js debugger port from Docker container
First, we will get IP of todomvc
Docker container.
$ # get IP of todomvc container
$ TODOMVC_IP=$(docker inspect -f "{{.NetworkSettings.IPAddress}}" todomvc)
Then, configure port forwarding to the “sidecar” socat
port, we define previously, running on the same network as the todomvc
container.
$ # run socat container to expose Node.js debugger agent port forwarder
$ docker run -d -p 5858:5858 --name socat local/socat socat TCP-LISTEN:5858,fork TCP:${TODOMVC_IP}:4848
Any traffic that will arrive at the 5858
port on the Docker host will be forwarded, first, to the 4848
socat port and then to the Node.js debugger agent running inside the todomvc
Docker container.
Exposing Node.js debugger port for remote access
In most cases, I would like to debug an application running on a remote machine (AWS EC2 instance, for example). I also do not want to expose a Node.js debugger agent port unprotected to the whole world.
One possible and working solution is to use SSH tunneling to access this port.
$ # Open SSH Tunnel to gain access to servers port 5858. Set `SSH_KEY_FILE` to ssh key location or add it to ssh-agent
$ #
$ # open an ssh tunnel, send it to the bg, and wait 20 seconds for connections
$ # once all connections are closed after 20 seconds then close the tunnel
$ ssh -i ${SSH_KEY_FILE} -f -o ExitOnForwardFailure=yes -L 5858:127.0.0.1:5858 ec2_user@some.ec2.host.com sleep 20
Now all traffic to the localhost:5858
will be tunneled over SSH
to the remote Docker host machine and after some socat
forwarding to the Node.js debugger agent running inside the todomvc
container.
Step 3: Synchronizing on the same code commit
In order to be able to debug a remote application, you need to make sure that you are using the same code in your IDE as one that is running on remote server.
I will try to automate this step too. Remember the LABEL
command, I’ve used in TodoMVC Dockerfile
?
These labels help me to identify git repository and commit for the application Docker image:
org.label-schema.vcs-ref
- contains short SHA for aHEAD
commitorg.label-schema.vcs-url
- contains an application git repository url (I can use inclone/pull
)
I’m using (Label Schema Convention)[http://label-schema.org/rc1/], since I really like it and find it useful, but you can select any other convention too.
This approach allows me, for each, properly labeled, Docker image, to identify the application code repository and the commit it was created from.
$ # get git repository url form Docker image
$ GIT_URL=$(docker inspect local/todomvc | jq -r '.[].ContainerConfig.Labels."org.label-schema.vcs-url"')
$ # get git commit from Docker image
$ GIT_COMMIT=$(docker inspect local/todomvc | jq -r '.[].ContainerConfig.Labels."org.label-schema.vcs-ref"')
$
$ # clone git repository, if needed
$ git clone $GIT_URL
$ # set HEAD to same commit as server
$ git checkout $GIT_COMMIT
Now, both my local development environment and remote application are on the same git commit. And I can start to debug my code, finally!
Step 4: Attaching local Node.js debugger to debugger agent port
To start debugging, I need to configure my IDE. In my case, it’s Visual Studio Code and I need to add a new Launch
configuration.
This launch configuration specifies remote debugger server and port to attach and remote location for application source files, which should be in sync with local files (see the previous step).
{
// For more information about Node.js debug attributes, visit: https://go.microsoft.com/fwlink/?linkid=830387
"version": "0.2.0",
"configurations": [
{
"type": "node",
"request": "attach",
"name": "Debug Remote Docker",
"address": "127.0.0.1",
"port": 5858,
"localRoot": "${workspaceRoot}/",
"remoteRoot": "/usr/src/app/"
}
]
}
Summary
And finally, I’ve met my goal: I’m able to attach a Node.js debugger to a Node.js application, that is already up and running in a Docker container on a remote machine.
It was a long journey to find the proper solution, but after I found it, the process does not look complex at all. Now, once I met a new problem in our environment I can easily attach the Node.js debugger to the running application and start exploring the problem. Nice, isn’t it?
I’ve recorded a short movie, just to demonstrate all steps and prove that things are working fluently, exactly as I’ve described in this post.
Hope, you find this post useful. I look forward to your comments and any questions you have.