swaRm | A R package to process and analyze collective behavior data

I'm running gitlab-ce on-prem with min.io as a local S3 service. CI/CD caching is working, and basic connectivity with the S3-compatible minio is good. (Versions: gitlab-ce:13.9.2-ce.0, gitlab-runner:v13.9.0, and minio/minio:latest currently c253244b6fb0.)

Is there additional configuration to differentiate between job-artifacts and pipeline-artifacts and storing them in on-prem S3-compatible object storage?

In my test repo, the "build" stage builds a sparse R package. When I was using local in-gitlab job artifacts, it succeeds and moves on to the "test" and "deploy" stages, no problems. (And that works with S3-stored cache, though that configuration is solely within gitlab-runner.) Now that I've configured minio as a local S3-compatible object storage for artifacts, though, it fails.

I am working on setting up a three node Docker swarm for a web application I support. Initially, we have Traefik setup as a reverse proxy. Traefik and the web app both run on the same web server and the web server is in a single node docker swarm. We are trying to add two additional nodes for application stability.

At the moment, I'm simply trying to understand Traefik load balancing along with Docker Swarm. I am deploying a Traefik v1.7 stack and including the whoami application. The docker-compose file for this first past looks like:

we use multiple PHP workers. Every PHP worker is organized in one container. To scale the amount of parallel working processes we handle it in a docker swarm.

So the PHP is running in a loop and waiting for new jobs (Get jobs from Gearman). If a new job is receiving, it would be processed. After that, the script is waiting for the next job without quitting/leaving the PHP script.

Now we want to update our workers. In this case, the image is the same but the PHP script is changed. So we have to leave the PHP script, update the PHP script file, and restart the PHP script.

If I use this docker service update command. Docker will stop the container immediately. In the worst case, a running worker will be canceled during this work.

Docker is running, ContainerExecCreate creates a container, but ContainerExecAttach returns: Cannot connect to the Docker daemon at unix: ///var/run/docker.sock in response. Is the docker daemon running?

What could be the problem.

I am trying to display both the means and errors (kind="point") and individual data points (kind="swarm") overlayed on the same catplot in Seaborn.

I have the following code:

I'm following a tutorial on docker stack, swarm, compose, etc.

the teacher connects to a VM of the swarm and then deploys a docker stack from this directory docker@node1:~/srv/swarm-stack-1:

I'm trying to add Web3 to a React project. I've initalized a new project with

I have deployed my application using Docker Swarm with 3 machines.

MongoDB Replica Set is configured manually and its working as a service on Ubuntu machine.

I am trying to connect to my Backend application to MongoDB Replica Set but I am getting context deadline exceeded error. I am using Private-ip to connect since machines are in same AWS VPC. Port 27017 is open in the security group and can be used by VPC network IP.

/etc/hosts is correctly configured on every machine.

I am using Docker-Compose file to deploy the stack.

Replica Set is working fine. I have checked it with manually inserting few documents.

The picture will help readers to understand the context better.

Abbreviations

• BE = Backend
• FE = Frontend
• Mac 1 = Machine 1
• AZ-1 = Availability Zone 1
• VPC = Virtual Private Cloud

My Guess:
Is it because Replica-Set in not in the Swarm Network and that's why its unable to connect ???

I am trying to fix this issue for quite sometime now and have not been successful yet. Help is required now.

I am currently setting up remote workers via docker swarm for Apache Airflow on AWS EC2 instances.

A remote worker shuts down every 60 seconds without an apparent reason with the following error: