Rowena  Waters

Rowena Waters

1628866800

Cómo usar Docker Container para ReactJS con Nginx y NodeJs

💂‍♀️ Tutorial - Contenedor de Docker para ReactJS - con Nginx y NodeJs  💂‍♂️

#docker #react #nodejs #nginx 

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Cómo usar Docker Container para ReactJS con Nginx y NodeJs
Rowena  Waters

Rowena Waters

1628866800

Cómo usar Docker Container para ReactJS con Nginx y NodeJs

💂‍♀️ Tutorial - Contenedor de Docker para ReactJS - con Nginx y NodeJs  💂‍♂️

#docker #react #nodejs #nginx 

Rowena  Waters

Rowena Waters

1628902800

Cómo usar Crontab en Docker Container con Python, bash y NodeJs

En este video, aprenda sobre: ​​Cómo usar Crontab en Docker Container con Python, bash y NodeJs
#python #docker #nodejs 

4 Reasons Why Your Docker Containers Can't Talk to Each Other

After you finally containerise your NodeJS app, you’re eager to see if it works. You run it, but then this happens:

“Error: connect ECONNREFUSED”

Your application fails to connect to the database. But why? Connecting to the database from localhost works without a hitch. Also, the app used to work fine before without containers.

You looked for help in the official Docker docs, and even with those instructions, you can’t get two containers to talk to each other.

Networking is a complicated topic. Add containers to the mix, and it becomes a real headache. You could read several books and spend days trying to understand the fundamentals of networking.

It would be much nicer to fix this seemingly trivial problem and get on with your day to work on features that matter.

In this article, you’ll read four possible reasons why your containers might fail to communicate with each other and a fix for each of them. These quick troubleshooting steps could save you wasted hours on debugging connectivity issues.

Do the containers share a network?

Containers can only communicate with each other if they share a network. Containers that don’t share a network cannot communicate with one another¹. That’s one of the isolation features provided by Docker.

A container can belong to more than one network, and a network can have multiple containers inside.

To find out if two containers share a network, first list all the networks of one of the containers. It doesn’t matter which one you pick. If container A can talk to container B, then by default in Docker networks, container B can also talk to container A.

## List all networks a container belongs to
docker inspect -f '{{range $key, $value := .NetworkSettings.Networks}}{{$key}} {{end}}' [container]

You should see a space-delimited output of all the networks the container is attached to. Then, for each of these networks, list all containers inside that network.

## List all containers belonging to a network by name
docker network inspect -f '{{range .Containers}}{{.Name}} {{end}}' [network]

If you don’t find the container you’re trying to connect to in any of the networks, then the containers don’t share a network. You can attach an already running container to a network with the following command:

## Attach a running container to a network
docker network connect [network] [container]

You can also specify a network when you start a container with the --network (or --net) flag as follows:

#docker #containers #docker containers #nodejs

Mikel  Okuneva

Mikel Okuneva

1602317778

Ever Wondered Why We Use Containers In DevOps?

At some point we’ve all said the words, “But it works on my machine.” It usually happens during testing or when you’re trying to get a new project set up. Sometimes it happens when you pull down changes from an updated branch.

Every machine has different underlying states depending on the operating system, other installed programs, and permissions. Getting a project to run locally could take hours or even days because of weird system issues.

The worst part is that this can also happen in production. If the server is configured differently than what you’re running locally, your changes might not work as you expect and cause problems for users. There’s a way around all of these common issues using containers.

What is a container

A container is a piece of software that packages code and its dependencies so that the application can run in any computing environment. They basically create a little unit that you can put on any operating system and reliably and consistently run the application. You don’t have to worry about any of those underlying system issues creeping in later.

Although containers were already used in Linux for years, they became more popular in recent years. Most of the time when people are talking about containers, they’re referring to Docker containers. These containers are built from images that include all of the dependencies needed to run an application.

When you think of containers, virtual machines might also come to mind. They are very similar, but the big difference is that containers virtualize the operating system instead of the hardware. That’s what makes them so easy to run on all of the operating systems consistently.

What containers have to do with DevOps

Since we know how odd happenings occur when you move code from one computing environment to another, this is also a common issue with moving code to the different environments in our DevOps process. You don’t want to have to deal with system differences between staging and production. That would require more work than it should.

Once you have an artifact built, you should be able to use it in any environment from local to production. That’s the reason we use containers in DevOps. It’s also invaluable when you’re working with microservices. Docker containers used with something like Kubernetes will make it easier for you to handle larger systems with more moving pieces.

#devops #containers #containers-devops #devops-containers #devops-tools #devops-docker #docker #docker-image

Iliana  Welch

Iliana Welch

1597368540

Docker Tutorial for Beginners 8 - Build and Run C++ Applications in a Docker Container

Docker is an open platform that allows use package, develop, run, and ship software applications in different environments using containers.
In this course We will learn How to Write Dockerfiles, Working with the Docker Toolbox, How to Work with the Docker Machine, How to Use Docker Compose to fire up multiple containers, How to Work with Docker Kinematic, Push images to Docker Hub, Pull images from a Docker Registery, Push stacks of servers to Docker Hub.
How to install Docker on Mac.

#docker tutorial #c++ #docker container #docker #docker hub #devopstools