How do you update and deploy web app changes in a Docker image or container?

I build the app image on my local machine and then push the image to Docker Hub. I can pull that image back, and I can also run the docker image from docker hub on the cloud

A possible Dockerfile for typescript application that needs compilation first: # bulld Part FROM node:18.16 as build WORKDIR /app COPY ./package*.json ./ RUN npm install COPY . . RUN npm run build # Run part: FROM node:18.16 WORKDIR /app COPY ./package*.json ./ RUN npm install COPY . . COPY --from=build /app/dist ./dist CMD ["npm", "run", "start"]

To build a Docker image for a Go application effectively: Use Multi-Stage Builds: This keeps the runtime image minimal. Cache Dependencies: Helps reduce build times. Minimize Layers: Keep the image size small. Security Best Practices: Run as a non-root user and scan for vulnerabilities. Optimize Build Process: Exclude unnecessary files with .dockerignore.

For normal use, I just pull the image from the hub. But we still need to be aware of the option to build it on our own. I remember one tip: we only pull the resource when deployed to reduce the size.

Some points to check: - Update your Dockerfile if necessary; - Rebuild the Docker image with the docker build command; - Mark the image with a version number using the docker tag command, it helps with version control and rollback if necessary. - Send the updated image to a DockerHub registry or private registry using the docker push command; - On the deployment server, extract the updated image from the registry using the docker pull command. - Stop the running container: If there is a container running an old version of the WebApp, stop it using the docker stop command; - Deploy a new container from the updated image using the docker run command; - Check that the application is running correctly and that there are any errors in the logs.

To run a container - - Install a container engine like Docker on your machine. - Pull the container image from a registry if it's not locally available, using a pull command. - Run the container with a run command, specifying any necessary options such as port mappings or environment variables. Check that the container is running using a lists command active containers. This process starts your application within a container, making it ready for use.

To start a Docker container, ensure Docker is installed and then enter a command in your command line (docker run...) to run a specific application, such as a web server. Docker will prepare everything needed if it's your first time using that application. This command quickly sets up a self-contained version of the app, making it ready for use without traditional installation hassles.

You can install docker and then pull docker image. After that docker run or use docker compose or k8s. Example with docker compose file: services: web: build: . ports: - "8000:5000" redis: image: "redis:alpine" If it is useful to you, please like and share it for me.

If you understand Image Docker like a house without energy, the container docker is the key that supply energy to your house with electric and water,... Your image only effect when you run container. An application was built from many separated service, such as backend, frontend, database,... and if you run all service one by one, it really waste many time, so you can use docker-compose for it. Just one command, you can run all of service one time. It's useful, right.

- Modify code locally. - Build new Docker image. - Push image to registry. - Pull image on server. - Stop old container. - Run new container.

After deploying a Docker container, updating a web app involves modifying code using a preferred editor or IDE. Depending on code volume mounting, a container or web server restart may be necessary. Docker exec enables running commands within the container, facilitating tasks like package installation, testing, or debugging. Note that container changes are non-persistent, risking loss if stopped or deleted. Thus, committing code changes to version control, like Git, and updating the Dockerfile or image is essential for persistency and efficient version management in the deployment process.

To update the code in a Docker image: - Modify Your Code: Edit your web app code or other files as needed. - Update the Dockerfile: If necessary, adjust the Dockerfile to accommodate changes. - Rebuild the Image: Rebuilds the image using the updated Dockerfile and code. - Test the Updated Image: Run the Updated Container then Verify that the container works as expected with the updated code. - Push the Updated Image: Tag the Updated Image (if needed) then run push command. - Deploy the Updated Image: Use the updated image to deploy new containers, either manually or through your deployment automation tools.

First, update the code in your local development environment. Then, modify the Dockerfile to include instructions for building a new Docker image or pulling the existing image if it already exists. Push the updated Docker image to a container registry. On the target server, pull the updated Docker image. Test the image to ensure it functions correctly. Finally, start a new container using the updated Docker image. This process ensures that your web app changes are deployed seamlessly and efficiently.

One best practice about the updating code, that's the logic of build image. You should write the Dockerfile carefully, if you code isn't good, you gonna waste to much time to build the image every time you update new code. Care about the code installing dependency of app and caching or it'll install whole dependence again every time. Imaging about your app need 30 minutes to build image, you only change a one text and ye, 30 minutes again. That's bad, right. Time is a money ^^

Before deploying web app changes in a Docker container - Testing: Ensure unit, integration, and end-to-end tests pass. - Environment Configuration: Set environment variables and manage secrets correctly. - Dependency Management: Update dependencies and scan for vulnerabilities. - Docker Image Optimization: Minimize image size and optimize for layer caching. - Database Migrations: Prepare and test migration scripts and back up the database. - Configuration Management: Maintain consistent and secure configuration files. - Network and Security: Verify network settings and enforce security policies. - Backup and Rollback Plan: Regularly back up data and have a rollback plan.

Before deploying web app changes in a Docker container, rigorous testing is crucial. Use 'docker ps' to list running containers and access the app via browser or 'curl' to ensure functionality. 'Docker logs' reveal container output, while 'docker inspect' provides configuration details. Verify that the app meets functional, performance, security, and compatibility standards. The broader software development process involves additional practices like automated testing, continuous integration, code reviews, environment maintenance, deployment strategies (canary/blue-green), monitoring, security testing, and having backup and rollback plans for stable, secure, and high-performing production applications.

Testing code before deploying to a server is essential for a robust software development process. It involves automated testing, continuous integration, code reviews, maintaining separate environments, deploying with strategies like canary or blue-green, monitoring and logging, security testing, load and performance testing, and having a backup and rollback plan in place to ensure stable, secure, and high-performing applications in production.

After making code changes, I always test my application within the container to ensure the updates work as expected. I rely on both automated tests and manual testing to catch any issues early. This step is crucial for ensuring the new features or fixes are ready for deployment.

After testing the new code, build a new version of your image. It is crucial to update the latest tag version for your image. Try to make it clear. This practice helps you keep track of changes in your projects and facilitates deploying your service with the new version tag. Once you have built and tagged the new version of your image, log in to Docker Hub or your registry and push the new image to the Docker registry for later deployment.

To push a Docker image to a repository: - Check and confirm that the image exists and has been install a container engine like Docker on your machine. - Tag the Image. Example: docker tag my-image:latest my-repo/my-image:latest. - Log In to the Repository. Example: docker login my-registry.example.com. - Push the Image. Example: docker push my-repo/my-image:latest. - Verify the Push: Check the repository (e.g., Docker Hub or your private registry) to ensure the image has been successfully uploaded.

Following successful testing of your web app changes, proceed to push the Docker image to a repository such as Docker Hub. Use 'docker push' with the image name and tag, preceded by 'docker login' for repository authentication. It's crucial to tag the image meaningfully, like 'webapp:latest' or 'webapp:v1.2'. This not only facilitates sharing with other developers but also allows seamless deployment to production environments. By adhering to version control practices, this process ensures efficient collaboration and deployment, promoting a streamlined and organized development workflow.

Once I'm confident that the app runs well, I build a new Docker image with my updates, tag it appropriately, and push it to a Docker registry like Docker Hub or a private registry using docker push. This makes the updated app available for deployment across different environments, ready to serve users.

Once you've tested your app, you can push the updated image to a repository like Docker Hub or a private registry. Push the Image: Use the docker push command with the image name and tag (e.g., webapp:latest or webapp:v1.2). Login: Before pushing, ensure you're logged into the repository with docker login. Tagging: Tag your image with a meaningful and consistent name and version for easy identification.

Sometime, in the local computer, that image can be run well, but in the server, it get some errors. If you application have some features need to make a new file or folder, you should care about the permission and user was used to make file. One more thing, when you use the docker-compose for running services in one server, you should care about the statistic of each images. If you don't set up the RAM that images can use, it will use all RAM of servers, and sometime RAM of application go higher and effect to others image (database or others server). It's will make your app crash and it's really bad to UX.

Utilisez Docker compose pour un déploiement simplifié Considérer l'orchestration avec Kubernetes ou Swarm Surveiller et mettre à jour vos conteneurs régulièrement

These steps help ensure smooth operation and management of your Docker container. - Monitor Resources: Use docker stats to check container resource usage. - Check Logs: Regularly review logs with docker logs <container-id> for any issues. - Network Configuration: Ensure proper network settings if your container needs external access. - Security: Keep your images up-to-date and use best practices for container security. - Scaling: Plan for scaling if needed, using Docker Compose or Kubernetes for orchestration.

Deploying a container involves packaging your application into a container, choosing a hosting environment (like a personal server or cloud service), setting up the necessary runtime environment, and then running the container using a command or service. Finally, monitor the container to ensure it operates smoothly. This process ensures your application can be reliably accessed and used.

Deploying the container entails utilizing the docker run command with the updated image name and tag fetched from the repository using docker pull. Alternatively, orchestration tools like Docker Compose, Kubernetes, or Swarm can manage deployment across hosts or clusters efficiently. Regular monitoring and updates are essential, facilitated through docker commands or web interfaces like Portainer or Kitematic, ensuring optimal container performance and security.

Here are key points about updating and deploying web app changes in a Docker image or container: ? Build a new Docker image with your updated application code and dependencies, tagging it with a new version number. ? Test the new image locally or in a staging environment to ensure it functions correctly. ? Push the new image to your container registry (e.g., Docker Hub, AWS ECR, or private registry). ? Update your deployment configuration (e.g., Kubernetes deployment, Docker Compose file, or orchestration tool) to use the new image tag, then apply the changes to roll out the update. ? Consider using rolling updates or blue-green deployment strategies to minimize downtime and allow for easy rollback if issues arise.

To Optimize Dockerfile/Docker Image - Reduce Layers: Combine multiple RUN commands into a single command using the command concatenation operator (&&). - Use Caching: Place commands that change less frequently at the top of the Dockerfile. - Choose a Lightweight Base Image: Use smaller base images like alpine, slim to reduce the overall size of the image. - Clear Temporary Data: Clean up temporary files and caches in the same RUN command to avoid creating redundant layers. - Use .dockerignore: Create a .dockerignore file to remove unnecessary files from the build context. - Multi-Stage Builds: Use multi-stage builds to keep only what is needed for the final image, reducing size and increasing efficiency.

To update and deploy web app changes in a Docker container: 1. Make changes: Modify your web app code. 2. Update Dockerfile: Ensure your Dockerfile reflects any new dependencies or configurations. 3. Build new image: Run?docker build -t your-image-name:tag .?to create a new image. 4. Push to registry: Push the updated image to a registry with?docker push your-image-name:tag. 5. Deploy container: Pull the new image and restart the container: docker pull your-image-name:tag docker stop your-container docker rm your-container docker run -d --name your-container your-image-name:tag

most easy steps are; - Push your changes - Release a new version on vcs (git/hub/lab...) - Build image - Download image - Run the container

- Make changes to your web app codebase. - Create a Dockerfile defining dependencies and configurations. - Use docker build to generate a new image. - Assign a version or label using docker tag. - Upload the image to a registry (docker push). - On the server, fetch the updated image (docker pull). - Use docker stop for the existing container. - Delete the old container (docker rm). - Start a new container with the updated image (docker run).