Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Docker
Docker

34.7K
28.7K
+ 1
3.8K
Jenkins
Jenkins

15.9K
12.6K
+ 1
2.1K
Add tool

Docker vs Jenkins: What are the differences?

Developers describe Docker as "Enterprise Container Platform for High-Velocity Innovation". The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application ‚ÄĒ from legacy to what comes next ‚ÄĒ and securely run them anywhere. On the other hand, Jenkins is detailed as "An extendable open source continuous integration server". In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.

Docker and Jenkins are primarily classified as "Virtual Machine Platforms & Containers" and "Continuous Integration" tools respectively.

Some of the features offered by Docker are:

  • Integrated developer tools
  • open, portable images
  • shareable, reusable apps

On the other hand, Jenkins provides the following key features:

  • Easy installation
  • Easy configuration
  • Change set support

"Rapid integration and build up", "Isolation" and "Open source" are the key factors why developers consider Docker; whereas "Hosted internally", "Free open source" and "Great to build, deploy or launch anything async" are the primary reasons why Jenkins is favored.

Docker and Jenkins are both open source tools. It seems that Docker with 53.8K GitHub stars and 15.5K forks on GitHub has more adoption than Jenkins with 13.2K GitHub stars and 5.43K GitHub forks.

Lyft, StackShare, and Shopify are some of the popular companies that use Docker, whereas Jenkins is used by Instacart, Lyft, and Twitch. Docker has a broader approval, being mentioned in 3470 company stacks & 3322 developers stacks; compared to Jenkins, which is listed in 1753 company stacks and 1479 developer stacks.

What is Docker?

The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application ‚ÄĒ from legacy to what comes next ‚ÄĒ and securely run them anywhere

What is Jenkins?

In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.
Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Why do developers choose Docker?
Why do developers choose Jenkins?

Sign up to add, upvote and see more prosMake informed product decisions

Sign up to add, upvote and see more consMake informed product decisions

What companies use Docker?
What companies use Jenkins?

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Docker?
What tools integrate with Jenkins?

Sign up to get full access to all the tool integrationsMake informed product decisions

What are some alternatives to Docker and Jenkins?
LXC
LXC is a userspace interface for the Linux kernel containment features. Through a powerful API and simple tools, it lets Linux users easily create and manage system or application containers.
rkt
Rocket is a cli for running App Containers. The goal of rocket is to be composable, secure, and fast.
Kubernetes
Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
Cloud Foundry
Cloud Foundry is an open platform as a service (PaaS) that provides a choice of clouds, developer frameworks, and application services. Cloud Foundry makes it faster and easier to build, test, deploy, and scale applications.
Vagrant
Vagrant provides the framework and configuration format to create and manage complete portable development environments. These development environments can live on your computer or in the cloud, and are portable between Windows, Mac OS X, and Linux.
See all alternatives
Decisions about Docker and Jenkins
StackShare Editors
StackShare Editors
Jenkins
Jenkins
Docker
Docker
AWS EC2
AWS EC2

Following an EC2 outage in June of 2017, the WeWork team began exploring ways to scale their infrastructure while keeping things engineer-friendly.

The began dockerizing their services, using docker-compose to connect dependencies to the docker network and backend services. Jenkinsfile were added to each git repo, and Jenkins created docker [binary] images that were stored in JFrog Artifactory.

CloudFormation configuration files were created to deploy the docker images, with shell scripts handling basic tasks. In this configuration, it became possible to spin-up ECS services and tasks by definition.

The team created Environment Templates for ECS clusters, allowing services to live within environments (ECS Clusters) such as development, qa and production, and for docker images to be promoted between them.

See more
Tymoteusz Paul
Tymoteusz Paul
Devops guy at X20X Development LTD · | 19 upvotes · 865.2K views
Vagrant
Vagrant
VirtualBox
VirtualBox
Ansible
Ansible
Elasticsearch
Elasticsearch
Kibana
Kibana
Logstash
Logstash
TeamCity
TeamCity
Jenkins
Jenkins
Slack
Slack
Apache Maven
Apache Maven
Vault
Vault
Git
Git
Docker
Docker
CircleCI
CircleCI
LXC
LXC
Amazon EC2
Amazon EC2

Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).

It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up or vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.

I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.

We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.

If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.

The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).

Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.

See more
Node.js
Node.js
Docker
Docker
Docker Swarm
Docker Swarm
GitLab CI
GitLab CI
Google Compute Engine
Google Compute Engine
React
React
Webpack
Webpack
#DeploymentWorkflow

I have got a small radio service running on Node.js. Front end is written with React and packed with Webpack . I use Docker for my #DeploymentWorkflow along with Docker Swarm and GitLab CI on a single Google Compute Engine instance, which is also a runner itself. Pretty unscalable decision but it works great for tiny projects. The project is available on https://ch1ller.com

See more
Khauth György
Khauth György
CTO at SalesAutopilot Kft. · | 12 upvotes · 186.3K views
atSalesAutopilot Kft.SalesAutopilot Kft.
Amazon CloudWatch
Amazon CloudWatch
Amazon SNS
Amazon SNS
Amazon CloudFront
Amazon CloudFront
Amazon Route 53
Amazon Route 53
MySQL
MySQL
MongoDB
MongoDB
Redis
Redis
jQuery UI
jQuery UI
Vue.js
Vue.js
Vuetify
Vuetify
vuex
vuex
Docker
Docker
Jenkins
Jenkins
AWS CodePipeline
AWS CodePipeline
GitHub
GitHub

I'm the CTO of a marketing automation SaaS. Because of the continuously increasing load we moved to the AWSCloud. We are using more and more features of AWS: Amazon CloudWatch, Amazon SNS, Amazon CloudFront, Amazon Route 53 and so on.

Our main Database is MySQL but for the hundreds of GB document data we use MongoDB more and more. We started to use Redis for cache and other time sensitive operations.

On the front-end we use jQuery UI + Smarty but now we refactor our app to use Vue.js with Vuetify. Because our app is relatively complex we need to use vuex as well.

On the development side we use GitHub as our main repo, Docker for local and server environment and Jenkins and AWS CodePipeline for Continuous Integration.

See more
Joshua Dean K√ľpper
Joshua Dean K√ľpper
CEO at Scrayos UG (haftungsbeschränkt) · | 7 upvotes · 80.4K views
atScrayos UG (haftungsbeschränkt)Scrayos UG (haftungsbeschränkt)
GitLab CI
GitLab CI
GitLab
GitLab
GitLab Pages
GitLab Pages
Jenkins
Jenkins

We use GitLab CI because of the great native integration as a part of the GitLab framework and the linting-capabilities it offers. The visualization of complex pipelines and the embedding within the project overview made Gitlab CI even more convenient. We use it for all projects, all deployments and as a part of GitLab Pages.

While we initially used the Shell-executor, we quickly switched to the Docker-executor and use it exclusively now.

We formerly used Jenkins but preferred to handle everything within GitLab . Aside from the unification of our infrastructure another motivation was the "configuration-in-file"-approach, that Gitlab CI offered, while Jenkins support of this concept was very limited and users had to resort to using the webinterface. Since the file is included within the repository, it is also version controlled, which was a huge plus for us.

See more
Sebastian Gńôbski
Sebastian Gńôbski
CTO at Shedul/Fresha · | 4 upvotes · 320.5K views
atFresha EngineeringFresha Engineering
CircleCI
CircleCI
Jenkins
Jenkins
Git
Git
GitHub
GitHub
New Relic
New Relic
AppSignal
AppSignal
Sentry
Sentry
Logentries
Logentries

Regarding Continuous Integration - we've started with something very easy to set up - CircleCI , but with time we're adding more & more complex pipelines - we use Jenkins to configure & run those. It's much more effort, but at some point we had to pay for the flexibility we expected. Our source code version control is Git (which probably doesn't require a rationale these days) and we keep repos in GitHub - since the very beginning & we never considered moving out. Our primary monitoring these days is in New Relic (Ruby & SPA apps) and AppSignal (Elixir apps) - we're considering unifying it in New Relic , but this will require some improvements in Elixir app observability. For error reporting we use Sentry (a very popular choice in this class) & we collect our distributed logs using Logentries (to avoid semi-manual handling here).

See more
Jenkins
Jenkins

I'd recommend to go with Jenkins .

It allows a lot of flexibility and additional plugins that provide extra features, quite often not possible to find elsewhere unless you want to spend time on providing that by yourself.

One of key features are pipelines that allow to easily chain different jobs even across different repos / projects.

The only downside is you have to deploy it by yourself.

See more
Marcel Kornegoor
Marcel Kornegoor
CTO at AT Computing · | 5 upvotes · 267.8K views
atAT ComputingAT Computing
Linux
Linux
Ubuntu
Ubuntu
CentOS
CentOS
Debian
Debian
Red Hat Enterprise Linux
Red Hat Enterprise Linux
Fedora
Fedora
Visual Studio Code
Visual Studio Code
Jenkins
Jenkins
VirtualBox
VirtualBox
GitHub
GitHub
Docker
Docker
Kubernetes
Kubernetes
Google Compute Engine
Google Compute Engine
Ansible
Ansible
Puppet Labs
Puppet Labs
Chef
Chef
Python
Python
#ATComputing

Since #ATComputing is a vendor independent Linux and open source specialist, we do not have a favorite Linux distribution. We mainly use Ubuntu , Centos Debian , Red Hat Enterprise Linux and Fedora during our daily work. These are also the distributions we see most often used in our customers environments.

For our #ci/cd training, we use an open source pipeline that is build around Visual Studio Code , Jenkins , VirtualBox , GitHub , Docker Kubernetes and Google Compute Engine.

For #ServerConfigurationAndAutomation, we have embraced and contributed to Ansible mainly because it is not only flexible and powerful, but also straightforward and easier to learn than some other (open source) solutions. On the other hand: we are not affraid of Puppet Labs and Chef either.

Currently, our most po