docker-http-https-echo | Docker image that echoes request data | Continuous Deployment library
kandi X-RAY | docker-http-https-echo Summary
kandi X-RAY | docker-http-https-echo Summary
mendhak/http-https-echo is a Docker image that can echo various HTTP request properties back to client, as well as in the Docker container logs. You can use your own certificates, choose your ports, decode JWT headers and filter out certain paths. This image is executed as non root by default and is fully compliant with Kubernetes or Openshift deployment. Please do not use the :latest tag as it will break without warning, use a specific version instead.
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Trending Discussions on docker-http-https-echo
QUESTION
I'm using WSL2 on Windows 10 using an Ubuntu image, and Docker for Desktop Windows (2.2.2.0) with the WSL integration.
I have a Rust TCP server. When I run it with cargo run
(or the binary after cargo install
), it does the right thing, and I can send Ctrl-C to it to terminate. I don't do any explicit signal handling in the code.
I turned it into a Docker image. Here's the Dockerfile.
...ANSWER
Answered 2020-Mar-23 at 10:49The reason for your problem is that the kernel treats a process with PID 1 specially, and does not, by default, kill the process when receiving the SIGTERM
or SIGINT
signals.
You have two options:
- Add
--init
flag todocker run
command. By that a special process with PID 1 will be created, which will be a parent for your process and will proxy all signals and properly reap your processes. - Add explicit signal handling to your app, which is good if you want to do graceful shutdown.
The good practice is to combine both methods.
QUESTION
I'm using WSL2 on Windows 10 using an Ubuntu image, and Docker for Desktop Windows (2.2.2.0) with the WSL integration.
I have a super basic rust tcp server. I think the only relevant bit is:
...ANSWER
Answered 2020-Mar-15 at 07:46EXPOSE
keyword is to open up ports for inter container communication for using these ports from host you have to use -p 8080:8080
while running docker via docker run
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