I'm building a pipeline in Buddy where the application is build on command. New containers are build and pushed to DockerHub when it's time to deploy. I'm using Google's Container Optimized OS to run Docker Compose, this way. But I can't find a way to automatically refresh and pull the latest container from DockerHub within the Contianer Optimized OS on a running instance.
Any idea how this can be achieved?
Related
I am trying to deploy this app. https://github.com/taigaio/taiga-docker . This container is a collection of various images. It uses docker-compose to create the container. It is my understanding that this cannot be run as an image from a GCP Artifact Repo as a docker Image. This needs a VM perhaps?
My question is if there is a way to deploy this container as an Image in a serverless fashion in GCP or any other cloud platform. Any pointers/help is much appreciated.
You can either use Cloud Run (the most Serverless way) or on a VM.
On Cloud Run you can deploy a single image as a Service (Cloud Run Terminology), if you have more than one image you can deploy multiple Services and make them talk to each other
Or on VM, that would be as if you are deploying on your personal laptop
I have Azure devops pipeline, building dockerfile on AKS, as AKS is deprecating docker with the latest release, kindly suggest best practice to have a dockerfile build without docker on AKS cluster.
Exploring on Kaniko, buildah to build without docker..
Nothing has changed. You can still use docker build and docker push on your developer or CI system to build and push the Docker image to a repository. The only difference is that using Docker proper as the container backend within your Kubernetes cluster isn't a supported option any more, but this is a low-level administrator-level decision that your application doesn't know or care about.
Unless you were somehow building using the host docker socket within your Kubernetes cluster, this change will not affect you. And if you were mounting the docker socket from the host in a kubernetes cluster, I'd consider that a security concern that you want to fix.
Docker Desktop runs a docker engine as a container on top of containerd, allowing developers to build and run containers in that environment. Similar can be done with DinD build patterns that run the docker engine inside a container, the difference is the underlying container management tooling is containerd instead of a full docker engine, but the containerized docker engine is indifferent to that.
As an alternative to building within the full docker engine, I'd recommend looking at buildkit which is the current default build tool in docker as of 20.10. It uses containerd and they ship a selection of manifests to run builds directly in kubernetes as a standalone builder.
My application is built using 3 Docker services:
backend (React)
frontend (Node.js)
nginx (routing traffic)
Up until now I was manually logging into an own Digital Ocean server, cloning the repository and launching the services with docker-compose build && docker-compose up.
I want to automate the process from now on.
Given Gitlab CI/CD Pipelines and the runners, what would be the best approach to automatically deploy the code to Digital Ocean server?
[WHAT I WAS THINKING OF, might seem very "beginner"]
Idea 1: Once a commit was pushed to master -> Gitlab runner will build the services and then copy it over to the DO server via scp. Problem: how do you launch the services? Do you connect to the DO server via ssh from the runner and then run the start script there?
Idea 2: Register a worker on the DO server just so when it pulls the data from Gitlab it has the code on the DO server itself. It just has to build them and run. But this approach is not scalable and seems hacky.
I am looking for some thinking guidelines or a step-by-step approach.
One of the benefits of using Docker in a production-deployment scenario is that you don't separately scp your application code; everything you need is built into the image.
If you're using an automation system like Ansible that can directly run containers on remote hosts then this is straightforward. Your CI system builds Docker images, tags them with some unique version stamp, and pushes them to a repository (Docker Hub, something provided by your cloud provider, one you run yourself). It then triggers the automation system to tell it to start containers with the image you built. (In the case of Ansible, it runs over ssh, so this is more or less equivalent to the other ssh-based options; tools like Chef or Salt Stack require a dedicated agent on the target system.)
If you don't have an automation system like that but you do have ssh and Docker Compose installed on the target system, then you can copy only the docker-compose.yml file to the target host, and then launch it.
TAG=...
docker push myname/myimage:$TAG
scp docker-compose.yml root#remote:
ssh root#remote env TAG=$TAG docker-compose up -d
A further option is to use a dedicated cluster manager like Kubernetes, and talk to its API; then the cluster will pull the updated containers itself, and you don't have to ssh anything. At the scale you're discussing this is probably much heavier weight than you need.
With the Kubernetes orchestrator now available in the stable version of Docker Desktop for Win/Mac, I've been playing around with running an existing compose stack on Kubernetes locally.
This works fine, e.g., docker stack deploy -c .\docker-compose.yml myapp.
Now I want to go to the next step of running this same application in a production environment using the likes of Amazon EKS or Azure AKS. These services expect proper Kubernetes YAML files.
My question(s) is what's the best way to get these files, or more specifically:
Presumably, docker stack is performing some conversion from Compose YAML to Kubernetes YAML 'under the hood'. Is there documentation/source code links as to what is going on here and can that converted YAML be exported?
Or should I just be using Kompose?
It seems that running the above docker stack deploy command against a remote context (e.g., AKS/EKS) is not possible and that one must do a kubectl deploy. Can anyone confirm?
docker stack deploy with a Compose file to Kube only works on Docker's Kubernetes distributions - Docker Desktop and Docker Enterprise.
With the recent federation announcement you'll be able to manage AKS and EKS with Docker Enterprise, but using them direct means you'll have to use Kubernetes manifest files and kubectl.
I wanted to be able to start multiple linked containers on demand, with a restrict where this build run tag like I do with docker plugin for one single container.
I'm currently running Jenkins inside a docker container and configured a slave cloud using docker plugin to provide a single slave container per job, this provisioning is done on demand by the plugin.
But now I have some new requirements, example:
Starting nodejs application container linked to selenium grid container for protractor e2e testing
Starting a container with a nodejs application linked to a redis server in another container.
Currently, docker plugin does not support linked containers so how should I approach those scenarios?
I know how to start multiple linked containers with docker-compose but there are currently no Jenkins plugins for compose.
I was able to get docker-in-docker working, and thought about having a DIND job with using compose in a pre-setup, but I'm finding this a quite inelegant solution.
Is there a plugin-wise solution?
Docker Slaves Plugin new version's side container feature solves that problem now!