Docker vs wercker: What are the differences?
Docker: 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 — from legacy to what comes next — and securely run them anywhere; wercker: Build, test, and deploy container-native applications. Wercker is a CI/CD developer automation platform designed for Microservices & Container Architecture.
Docker and wercker 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, wercker provides the following key features:
- Pipelines - Wercker's Pipelines enable developers to fully automate builds, tests and deployments with Docker as a first class citizen.
- Workflows - With Workflows: a collection of pipelines can be chained and triggered to achieve complex automation goals.
- Steps Store - A step is a self contained best practice for accomplishing a specific automation task. Build your own or help yourself to our community based store.
"Rapid integration and build up" is the top reason why over 816 developers like Docker, while over 34 developers mention "Automatic Deployments" as the leading cause for choosing wercker.
Docker is an open source tool with 54K GitHub stars and 15.6K GitHub forks. Here's a link to Docker's open source repository on GitHub.
Spotify, Pinterest, and Twitter are some of the popular companies that use Docker, whereas wercker is used by FashionUnited, Hazeorid, and Wantedly. Docker has a broader approval, being mentioned in 3524 company stacks & 3443 developers stacks; compared to wercker, which is listed in 40 company stacks and 23 developer stacks.
What is Docker?
What is wercker?
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Docker is the new kid on the block disrupting virtualization nowadays. You're able to save up to 70% of your development cost on AWS (or any other cloud) switching to Docker. For example instead of paying for many small VMs you can spin up a large one with many Docker containers to drastically lower your cost. That alone is only one of the reasons why Docker is the future and it's not even the best feature: isolation, testability, reproducibility, standardization, security, and upgrading / downgrading / application versions to name a few. You can spin up 1000's of Docker containers on an ordinary Laptop, but you would have trouble spinning up 100's of VMs. If you haven't already checked out Docker you're missing out on a huge opportunity to join the movement that will change development/production environments forever
The support for macOS is a fake.
I can't work with docker in macOS because de network and comunications with the container don't works correctly.
Currently experimenting. The idea is to isolate any services where I'm not confident yet in their security/quality. The hope is that if there is an exploit in a given service that an attacker won't be able break out of the docker container and cause damage to my systems.
An example of a service I would isolate in a docker container would be a minecraft browser map application I use. I don't know who wrote it, I don't know who's vetting it, I don't know the source code. I would feel a lot better putting this in a container before I expose it to the internet.
I believe I will follow this process for anything that's not properly maintained (not in an trusted apt-repo or some other sort of confidence)
We are testing out docker at the moment, building images from successful staging builds for all our APIs. Since we operate in a SOA (not quite microservices), developers have a dockerfile that they can run to build the entirety of our api infrastructure on their machines. We use the successful builds from staging to power these instances allowing them to do some more manual integration testing across systems.
Each component of the app was launched in a separate container, so that they wouldn't have to share resources: the front end in one, the back end in another, a third for celery, a fourth for celery-beat, and a fifth for RabbitMQ. Actually, we ended up running four front-end containers and eight back-end, due to load constraints.
Linux containers are so much more lightweight than VMs which is quite important for my limited budget. However, Docker has much more support and tooling for it unlike LXC, hence why I use it. rkt is interesting, although I will probably stick with Docker due to being more widespread.
We are running primarily as a micro-services platform and Docker lets us iterate on these smaller units consistently from dev to staging to production. It is also integral to our continuous deployment system for rolling out or rolling back new features.