I have a simple AngularJS application that is built through a Jenkins pipeline and a Docker file. When running the Jenkins job, the environment is set. Then it builds to one of two environments: dev or integration. What I need is a way to get that variable into the angular app. The docker file uses ..
Tag : runtime
TL;DR Is it possible to set the Nuxt.js router-base configuration at runtime or just before the app starts and not at build-time? In my nuxt.config.js I have : router: { base: process.env.APP_CONTEXT_PATH } The Dockerfile looks like this: FROM node:14 WORKDIR /usr/src/app COPY package.json ./ RUN npm install COPY . . EXPOSE 3000 RUN npm ..
To add context, I have a small server with 1GB memory on which I am trying to deploy a lot of shiny apps by dockerizing ShinyProxy using docker-compose. I am adding app after app on ShinyProxy and testing it step by step. It used to work for the 4-5 first apps but now when I ..
I was trying to expose a specific device under /dev/devicex in ubuntu (host) to docker container from my OCI pre start hook. What I did: In the OCI pre start hook bind mounted the device to container /dev directory and the bind was successful. What I see: ls /dev doesn’t list the device under /dev ..
Currently I have an algorithm in Matlab that I have successfully converted to a Jar file. This Jar file is included in a Spring Boot Project and my aim is to make this run in Docker. The issue I am facing right now is that I am possible to run this Spring Boot project locally ..
I’m a novice at using docker and am currently trying to set a backend URL dynamically within a frontend .js file during runtime. I have an application which consists of a frontend and a backend. As of now, the backend URL can be specified in the docker-compose.yml as follows: myFrontend: build: context: ./frontend-dockerfile-location args: BACKEND_URL: ..
I am trying to run a gRPC client from a docker. The docker file looks like: # set base image (host OS) FROM python:3.8 # set the working directory in the container WORKDIR /code # copy the dependencies file to the working directory COPY requirements.txt . # install dependencies RUN pip install -r requirements.txt # ..
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