docker-images | AlmaLinux Docker image RootFS files and production version | Continuous Deployment library

I have a project which consists of several services which are defined in a docker-compose.yaml file.

When I run docker-compose up -d several docker images are created and then each service runs in its own container.

I have followed the steps here How to save all Docker images and copy to another machine in order to save the images so that I can use them on another customer PC.

I ran this to save the images:

I have the following heroku.yml file for containers deployment:

I can't find the proper way to add dependencies to my Azure Container Instance for ML Inference.

I basically started by following this tutorial : Train and deploy an image classification model with an example Jupyter Notebook

It works fine.

Now I want to deploy my trained TensorFlow model for inference. I tried many ways, but I was never able to add python dependencies to the Environment.

Using AzureML-tensorflow-2.4-ubuntu18.04-py37-cpu-inference :

I am using Docker with WSL2 integration on Windows 10 Home.

While following this question to change the location of the docker images I came across this file:

%USERPROFILE%\AppData\Local\Docker\wsl\distro\ext4.vhdx

and couldn't find any explanation online regarding the function of this file.

I have a React frontend and a Node backend, I've made several E2E tests with Cypress for the frontend and run them locally. I love how end to end testing allows me to catch errors in the frontend as well as on the backend! so I'd like to have a way to run them automatically when sending a PR.

I'm using bitbucket pipelines, and I've configured it to run the npm test command which works perfectly to run my unit tests, but what I still don't understand is how to be able to run my Cypress tests automatically, because I'd need to have access to the backend repository from my pipeline that runs on the frontend repo.

What I've tried

I've read the documentation and played with the example repo, but I still don't understand how could I automate running my tests, on the example both backend and frontend are on the same repository.

I'm sorry if this is a vague question, I just don't seem to get if this is even possible with bitbucket pipelines, if it's not, what other tool could help me run my Cypress test in a similar way that I do locally? (running both backend and frontend).

I've really tried to search for an answer to this, maybe it's too obvious and I'm just missing something but I don't seem to find anything on the internet about this, any help will be very appreciated!

I have set an Oracle docker image (https://github.com/oracle/docker-images/tree/main/OracleDatabase/SingleInstance/dockerfiles) which by default is running on port 1521. I would like to change the port in the Image to 1531.

I know that in the docker-compose I can set "1531:1521" BUT the other container still searching for port 1521 in the created network.

I tried to modify the port referenced in the Dockerfile of the version I want to use (19.3.0) and also in the createDB.sh but when I try to connect with the SID it fails, the listener is not working as expected.

Anybody already succeeded?

Update 1: Here is the error message when I try to connect to the database after I changed the port.

SQL> CONNECT sys/HyperSecuredPassword@ORCLCDB AS sysdba; ERROR: ORA-12514: TNS:listener does not currently know of service requested in connect descriptor

Update 2: I have the following docker-compose.yaml to set up the other containers for my project.

Either I'm doing something wrong or Heroku is messing up. Heroku supports targeting a particular stage in a Dockerfile. I have a multistage Dockerfile but Heroku is not respecting the build.docker.release.target in my heroku.yml. For what it's worth, targeting works fine with docker-compose.yml.

I'm trying to keep dev and prod in the same Dockerfile. Essentially dev and prod are forked from base. I could flesh it out more, but the stages are:

Dear StackOverflow Community, i have bought myself a MacBook Pro M1 Pro 2021 and I need for my school a running instance of Oracle 18c or 21c Express Edition. I have tried creating a VM and running a docker inside of it, but it obviously did not work. I have also tried running a docker in Docker Desktop directly on my Mac. I have been using the docker-images provided by oracle, but nothing worked. Regards, Daniel

I created a new kubernetes cluster (GKE) and installed an application using helm.

I was able to locate the gke-node on which my pod was deployed using the command, kubectl get pod -n namespace -o wide

Post that i logged on to the kubernetes-node, however on this node i am unable to view the docker images. This is the case on v1.21.4-gke.2300

In the older-version v1.19.13-gke.1200, i was able to observe the docker-images on nodes when they were pulled from repository

I can view the list of docker-images on v1.21.4-gke.2300 with the command kubectl get pods -n geo-test -o jsonpath="{.items[*].spec.containers[*].image}" | tr -s '[[:space:]]' '\n' | sort | uniq -c

But i would like to know where in the cluster are these images getting stored and why i am not able to observe them in the node like i did in the older version

My reason for asking is, because in version v1.19.13-gke.1200, i was able to perform minor changes in the docker-image, build a custom-image and use that for installation instead of storing the images in the gcr and pulling it from there Any suggestion on how to go about it in the new