Docker Developers Hiring Guide

Containers Made as Simple or Complex as Needed

Nearly every enterprise business across the globe has started investing in container technology. There are so many good reasons for this. Containers encapsulate everything needed for an application to run. Because of this, those containers can be deployed on any supporting platform. 

For example, if you create an NGINX container (which includes a full-blown web-based application), you can deploy it in a Linux server or desktop, a Windows server or desktop, or a macOS server or desktop. You can deploy containers to your on-premise data center or your cloud-based hosting provider.

Containers can make your life far simpler.

But containers are good for more than simplicity. One thing containers do better than any other technology is scale. Say, for example, you have a web-based application. You can deploy that app in the traditional fashion (on a standard web server stack) and it will run fine. But what happens when demand grows exponentially? On that traditional stack, you might have to add more hardware into the mix to keep up with the demand.

With a containerized app, you can simply deploy more nodes to the cluster and set those containers to auto-scale as needed. That level of automation can’t be had with traditional, monolithic applications.

Along with that automation, your business could also save money, especially when using a third-party cloud host that’s a pay-as-you-need service. With auto-scaling enabled, your containers will scale up when demand increases and scale down when demand decreases. That can lead to significant cost savings for any company.

  • Hiring Guide

  • Interview Questions

  • Job Description

But how do you deploy containers? One of the most important tools you'll need is a run time engine, such as Docker. For years, Docker was the most popular container tool on the market. Although that popularity has waned with the rise of Kubernetes, Docker is still widely used. One of the reasons for that is because Docker is much easier to deploy and use than Kubernetes. 

That doesn't mean Docker is easy. You won't be throwing an entry-level admin into this mix and get much in the way of results. Docker requires a certain level of understanding of a few different technologies, to get the most out of it.

Let's find out what those Docker admins will need to know.


Linux

First of all, your Docker administrators are going to need to know Linux. Yes, Docker containers can be deployed on macOS and Windows, but an overwhelming majority of Docker containers are deployed to Linux. One of the biggest reasons for that is the majority of virtual machines deployed on cloud hosts are Linux. To that end, your Docker admins should have a solid understanding of how to use and administer Linux. 

The most popular method of deploying Docker containers is via the command-line interface, so your admins will need to be comfortable running commands on Linux.


Container technology

Obviously, your container administrators will need to have (at least) a fundamental understanding of container technology. There are a lot of moving parts to containers, so having a good grasp on what goes into developing and deploying containerized applications will go a long way to help those admins get the job done right.


JSON

There are 2 ways to deploy a Docker container: Using the docker command and using docker-compose. The docker command uses all of the options and constraints from within a single command. Although this method is easiest, it's also best-suited for the more simplistic containers. The second method is using docker-compose. This command reads all of the necessary configurations from a Docker Compose file, which is written in JSON.

If you plan on getting the most out of Docker, you'll want those admins to be well-versed in JSON. One of the most important aspects is proper indentation. Being able to write a well-crafted Docker Compose file takes time. And getting that configuration just right can be even more time-consuming, especially when the configurations get more and more complex. You could deploy a single container that uses multiple applications, specific networks, and even localized volumes for persistent storage. 


Conclusion

If your business is serious about scaling and automating applications, containerization is the way to go. And as they’ll be taking their first steps with containers, they should most certainly start with Docker.

What is a container?

A container is a pre-configured, platform-agnostic application that contains everything necessary (from runtime to environment variables and application stacks) to run on a supported platform.


What is the difference between virtualization and containerization?

Containers provide an isolated environment for running an application, while virtualization provides an entire virtual machine to run an application stack.


What are Docker images?

Docker images are read-only templates that contain the necessary set of instructions for creating containers.


What is a Docker file?

A docker file is a manifest that contains all of the necessary configurations for the deployment of a Docker container.


What is Docker Swarm?

Docker Swarm is the native clustering tool for Docker that turns a pool of Docker hosts into a single, virtual host.


What is the lifecycle of a Docker Container?

  • Create a container
  • Run the container
  • Pause the container(optional)
  • Unpause the container(optional)
  • Start the container
  • Stop the container
  • Restart the container
  • Kill the container
  • Destroy the container

What is the command to log into a Docker repository?

docker login


What is the command to pull down a Docker image from Docker Hub?

docker pull NAME

Where NAME is the name of the image to be pulled.

What is the command to create an NGINX Docker container, named nginx1 that points external port 8080 to internal port 80 from the official NGINX image in detached mode?

docker run --name nginx1 -p 8080:80 -d nginx

The ideal candidate will work on building, scaling, and monitoring various highly complex applications, and making our container orchestration cluster highly available. The candidate has to be an expert in Docker and containerization technologies.


Responsibilities

  • Develop and deploy scalable containers using the Docker engine.
  • Cluster Docker nodes and manage numerous Docker Swarms.
  • Manage third-party cloud hosting accounts that will house running containers.
  • Optimize the performance of all containers.
  • Automate the deployment and scaling of containers.
  • Review and interpret ongoing business report requirements.
  • Provide timely scheduled management reporting.
  • Investigate exceptions concerning asset movements.
  • Write reusable, testable, and efficient Docker Files.
  • Implement security and data protection.
  • Integrate data storage solutions.

Skills And Qualifications

  • At least 3 years experience in DevOps.
  • At least 3 years experience with Docker, containerization, DevOps best practices, distributed applications, deployment architecture, and AWS.
  • Exposure to Kubernetes.
  • Practical Public Cloud (AWS, Azure, Google) hosting and deployment experience.
  • 3+ years of practical infrastructure as code architecture, development, and automation.
  • AWS Certification(s) a plus 
  • Experience with Provisioning, Provisioning VM's - Virtual Machines
  • Experience managing VMware, VM's
  • Experience / strong knowledge with Network Topologies, Network Research,
  • Jenkins 2.0, BitBucket, Jira
  • Ansible or other Automation Configuration Management System tools
  • Scripting and Programming using languages such as BASH, Perl, Python, AWK, SED, PHP, Shell
  • Linux Systems Administration -: Redhat
  • Excellent written and verbal communication and customer service skills 
  • Excellent problem-solving and analytical skills 
  • The ability to independently troubleshoot and solve complex technical issues in a fast-paced environment. 
  • Good organizational skills.
  • Ability to work as part of a team.
  • Attention to detail.
  • Understanding of the nature of asynchronous programming and its quirks and workarounds
  • A positive attitude.

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