Before heading to adopt the concept of containerization, we must cross-check the existing legacy applications. At times, many legacy applications can be unfit for containerization. Wrong choices lead to irrecoverable dilemmas.
So, having a comprehensive study to choose the best helps a lot before adopting containerization as your ideal application modernization option. Besides, avoiding apps with outdated languages like Fortran, Cobol, and mainframe-based apps will save you from unwanted troubles.
Because, poorly designed applications will have to be worked a bit more to bring it to a cloud-ready appearance. If the applications need a full-cycle modification, it would be much cost-effective and easier to develop a new application rather than modernizing it.
To illustrate, applications that are rigidly paired with the data sets are difficult to migrate to the cloud platform and containerize the data sets to give a fresh and flexible performance. So, instead of exhausting our time and effort, developing a new application would be an optimal option.
Further, in terms of the application run time environment, containers will assure developers to completely “own” the configuration and setting up of their application. The build Pipeline will make containers to be kept in different pre-production environments like testing the integration, loading, and then production units of the pipeline to be deployed. It can also ease the deployment toolchain of DevOps, which does not require differentiation based on their runtime artifact type, for instance, PHP vs. JVM. Each and every runtime variation is confined within the container.