Dockers for Technical Product Managers

Traditionally Product Managers working on software products and platforms have made decisions based on sales insights, customer feedback and feature requests. With big data and analytics being the buzz words, the focus has changed more towards a metrics-driven feature prioritization. If the numbers do not support a feature, a feature is critically debated on its priority until there are numbers to prove otherwise. Thanks to analytics and advances in data mining, product managers these days truly understand their customers, often way better than even their customers understand their own situation.

Industry has pretty much standardized the analytical data models required to make decisions, but in order to make such decisions quickly it is important to have ability to tweak a product and deploy environments as and when required. Long application release cycles make it difficult to stay ahead of competition. Imagine a feature production ready for analysis and delayed for ramping up infrastructure and getting environment ready and this is the exact problem that Dockers solves.

Dockers is an open-source project that automates the deployment of applications inside software containers. So, what is Software Containers? Containers are a method of operating system virtualization that allow you to run an application and its dependencies in resource-isolated processes. Containers allow you to easily package an application’s code, configurations, and dependencies into easy to use building blocks that deliver environmental consistency, operational efficiency, developer productivity, and version control. Containers can help ensure that applications deploy quickly, reliably, and consistently regardless of deployment environment.

Teams can now stop wasting hours setting up developer environments, spinning up new instances, and making copies of production code to run locally. With Docker, you simply take copies of your live environment and run them on any new endpoint running a Docker engine. Packaging an application in a container with its configs and dependencies guarantees that the application will always work as designed in any environment: locally, on another machine, in test or production. No more worries about having to install the same configurations into different environments.

To get started with Dockers Or for a more in-depth look watch the video below:

It would be interesting to know how product teams can leverage Dockers. If you have any brilliant ideas please share in the comments below.