Heavybit Show & Tell: Iron.io’s DockerWorker Dana Oshiro
There’s a reason Docker just raised a $95M funding round. The promise of containers running asynchronously in the cloud means the opportunity for greater developer productivity and agility. But the problem here isn’t containerizing services, it’s ensuring that all of these distributed and asynchronous workloads are working together as a single organism. Iron.io believes that DockerWorker is the key to a better workflow.
Iron.io’s Workflow with DockerWorker
Since all Iron.io tasks run in Docker containers, developers can use DockerWorker to build and test locally and then deploy an exact replica of their code package in the cloud when it’s ready for production.
This improved process removes latencies associated with library loading, service dependencies, and upload times. Once the code resides on the Iron.io platform, developers enjoy all the benefits of being able to queue tasks and achieve scalable workflows with almost zero dev ops. The result is reduced development (build and test) times, shorter deployment cycles (push to platform), and better scale and availability (production).
Watch the Show & Tell on DockerWorker
For more info on the DockerWorker workflow, check out Iron.io’s post on DockerWorker. They’ve also included a repository with examples in a bunch of different languages so you can try it out for yourself.