There is simply no excuse for not speeding application deployment with a containerization solution like Docker.
Containers are a central feature of Docker, the open-source project that automates the deployment of applications. In case you didn’t notice, the Docker logo consists of a friendly-looking whale doing double duty as a transport ship, piled high with shipping containers. Solomon Hykes, Docker’s Founder and Chief Technology Officer, does a good job of explaining the concept of Docker and the shipping container analogy in a short video on the Docker site.
What Does a Docker Container Do for Developers?
For the purposes of Docker, the container is essentially a single service that surrounds something else—say, a database server—allowing the swift assembly of functionality by developers. Linking containers together completes the application.
As I noted in a previous post, Docker is a fantastic productivity booster and a great realization of containerizations. As Docker has grown more popular and successful, it illustrates the old adage that nothing succeeds like success; there are now more than 200 data sources supported by Docker containers. That means one of the few excuses for putting off Docker adoption is pretty much gone.
Progress Support for Containerization
Progress is on board. With the recent announcement that our Modulus™ Node.js platform supports multiple application languages utilizing Docker, we can provide a complete app deployment platform for the whole enterprise.
Obviously, enterprises need to have applications supported by multiple platforms, and the ability to integrate data across local and cloud-based services is vital for long-term growth. Containerization can help you provide more than just simple data connectivity, however. Docker is providing high performance ETL and smooth, fast user experiences on the front end. So what are you waiting for?
Paul Nashawaty
As the senior director of product marketing and strategy for the Progress solutions and audience marketing team, Paul Nashawaty keeps his eyes peeled on what enterprises are doing about big data as it relates to digital transformation. Paul is responsible for applying practical business methodologies using technological solutions to drive success in organizations.