For most teams shipping software today, it is not even a decision. Your CI pipeline produces container images on every merge. Your vendor ships software as container images because that is how they distribute now. Your development tools generate Dockerfiles as a default step. For many teams a container image is already the starting point. For many others it is an application that was never containerized at all. Either way, what nobody solved is what happens next. Having a container image and running one in production are two different problems.
The image needs infrastructure under it, networking in front of it, scaling logic around it, and health monitoring watching it. That work starts the moment the container reaches production, and it never stops. Application number one is manageable. Application number twenty is a full-time job. Application number fifty requires a team that most organizations never planned to hire. Teams with dedicated platform engineering staff already handle this. They built the deployment systems, they own operational work, and they carry that weight deliberately.
Many teams, however, are running legacy Java monoliths under compliance pressure to move off end-of-life infrastructure. NET Framework services through an acquisition that nobody on the current team built. Some are managing PHP workflows and Python pipelines alongside commercial off-the-shelf applications customized beyond vendor support. They are not evaluating container orchestration platforms. They are evaluating whether to move applications off aging infrastructure before vendor support expires or audit deadlines arrive.
A vendor switched from shipping Amazon Machine Images (AMIs) to shipping container images. An organizational mandate said, “containerize everything” and teams complied. Nobody asked the follow-up question: Who runs these next month, next quarter, next year? The packaging happened fast. The operational model never followed. There’s a real distance between having a container image and having someone permanently responsible for running it reliably, at scale, in production. Crossing it usually means the engineers who wrote the application get pulled into operating the infrastructure under it.