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kandi X-RAY | docker-images Summary
kandi X-RAY | docker-images Summary
Debezium is a distributed platform that turns your existing databases into event streams, so applications can quickly react to each row-level change in the databases. Debezium is built on top of Kafka and provides Kafka Connect compatible connectors that monitor specific database management systems. Debezium records the history of data changes in Kafka logs, so your application can be stopped and restarted at any time and can easily consume all of the events it missed while it was not running, ensuring that all events are processed correctly and completely. Debezium is open source under the Apache License, Version 2.0.
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Trending Discussions on docker-images
QUESTION
When adding container orchastrator support (docker-compose) to a .NET Core Web API project with a dependency on some project library the following folder structure is created
...ANSWER
Answered 2022-Mar-15 at 15:58With docker/build-push-action@v2 you can specify the context and the location of the docker file like so:
QUESTION
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:
...ANSWER
Answered 2022-Mar-10 at 04:35The important part of this is that you must have copy the docker-compose.yml
file to the target system.
So you need two things
1: tar file having multiple images
2: docker-compose file to describe how each image should load.
Ref: Exporting Multiple Docker Images Alongside Docker-Compose
QUESTION
I have the following heroku.yml
file for containers deployment:
ANSWER
Answered 2022-Feb-03 at 15:17I want to keep only the
release_image
stage
Assuming this is true for your web
process as well, update your build
section accordingly:
QUESTION
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.
From the TensorFlow curated environmentUsing AzureML-tensorflow-2.4-ubuntu18.04-py37-cpu-inference :
...ANSWER
Answered 2022-Jan-24 at 12:45If you want to create a custom environment you can use the below code to set the env configuration.
Creating the enviromentmyenv = Environment(name="Environment")
myenv.docker.enabled = True
myenv.python.conda_dependencies = CondaDependencies.create(conda_packages = ['numpy','scikit-learn','pip','pandas'], pip_packages = ['azureml-defaults~= 1.34.0','azureml','azureml-core~= 1.34.0',"azureml-sdk",'inference-schema','azureml-telemetry~= 1.34.0','azureml- train-automl~= 1.34.0','azure-ml-api-sdk','python-dotenv','azureml-contrib-server','azureml-inference-server-http'])
QUESTION
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.
...ANSWER
Answered 2022-Jan-20 at 15:25When you run Docker Desktop WSL2 it'll create 2 vm's, one contains volumes, images, etc., and the other is related to the actual Docker Desktop itself, which is the one you're asking about. It's much smaller.
You can see both of them with: wsl -l -v
The one you're asking about is for the docker-desktop
vm.
QUESTION
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!
...ANSWER
Answered 2022-Jan-20 at 06:12When your frontend and backend are versioned in different repositories, then you have to check out at least one of the two repositories (e.g. the other for which the pipeline is not currently being executed) during the pipeline execution to get access to the code and thus have the possibility to start frontend and backend together locally to run your tests.
This question has also already been asked and answered here: https://community.atlassian.com/t5/Bitbucket-questions/Access-multiple-Bitbucket-repositories-from-a-single-Pipeline/qaq-p/1783419
QUESTION
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.
...ANSWER
Answered 2022-Jan-15 at 00:11If you want to change the port used WITHIN the container (I think this is the question), you could try building a new image after modifying the conf file, e.g. (for the 18c image). The other images hard code the 1521 port in various files in that repo depending on the oracle version you are using, so those would have to be changed prior to building the image.
I have been using this image: container-registry.oracle.com/database/express:latest
. This is version 18c and it has a conf file within the image located at /etc/sysconfig/oracle-xe-18c.conf
, I would just build a new Dockerfile and overwrite that file with a new one that has the port you require. Or, you could extract the entire contents of that directory, dump it to a host directory, modify the file as needed, and map a volume to etc/sysconfig
(make sure the permissions are correct). This way you could tweak the file from the host. It might be possible to set the variable in that conf file from an environment variable within a docker-compose.yaml
file or on the docker
command line. This variable is named LISTENER_PORT
. Some of the variables in these scripts are defined locally and do not pull their values from environment variable though.
QUESTION
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:
ANSWER
Answered 2021-Dec-18 at 14:27I haven't tested this with heroku.yml
because I've moved to GitHub Actions but I believe the error was having prod
come after dev
. Apparently the --target
flag in docker build
means it will stop at that stage, so it will run everything before it.
QUESTION
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
...ANSWER
Answered 2021-Dec-10 at 12:55There are two issues here:
Oracle Database is not supported on ARM processors, only Intel. See here: https://github.com/oracle/docker-images/issues/1814
Oracle Database Docker images are only supported with Oracle Linux 7 or Red Hat Enterprise Linux 7 as the host OS. See here: https://github.com/oracle/docker-images/tree/main/OracleDatabase/SingleInstance
Oracle Database ... is supported for Oracle Linux 7 and Red Hat Enterprise Linux (RHEL) 7. For more details please see My Oracle Support note: Oracle Support for Database Running on Docker (Doc ID 2216342.1)
The referenced My Oracle Support Doc ID goes on to say that the database binaries in their Docker image are built specifically for Oracle Linux hosts, and will also work on Red Hat. That's it.
Because Docker provides process level virtualization it still pulls kernel and other OS libraries from the underlying host OS. A Docker image built for Oracle Linux needs an Oracle Linux host; it doesn't bring the Oracle Linux OS with it. Only Oracle Linux or Red Hat Linux are supported for any Oracle database Linux installation, with or without Docker. Ubuntu, Mac OS, Debian, or any other *NIX flavor will not provide predictable reliable results, even if it is hacked into working or the processes appear to work normally ("works" and "supported" are not the same thing).
Bottom Line: You won't be able to run an Oracle database on that hardware.
QUESTION
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
...ANSWER
Answered 2021-Oct-10 at 15:17Starting with GKE node version 1.19, the default node image for Linux nodes is the Container-Optimized OS with containerd (cos_containerd) variant instead of the Container-Optimized OS with Docker (cos) variant.
Now instead of docker
commands you can use crictl
. Refer to the crictl user guide for the complete set of supported features and usage information.
Specifically, you can run crictl images
to list the images, available on the node.
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