How I Cut Infrastructure Costs by 60% by developing a Fast Feedback Development Platform using containerization technologies.

When I joined Ericsson's R&D team as an intern, our development environment had a problem that every engineer on the team silently accepted as normal: spinning up a full local environment took over 30 minutes, consumed enormous cloud resources, and cost the team 40–60% more in infrastructure than it needed to. Six months later, I managed to cut that cost by 60%, reduced memory footprint per machine by 60%, and validation time from 30 minutes to under 10 minutes by smartly optimizing resources. The tools that made it possible? Docker and Kubernetes. This is exactly how I did it. 🐳 What Is Docker — And Why Should You Care? Before Docker, deploying software meant: "It works on my machine" — classic Different OS versions breaking builds Manual dependency installation on every server Hours wasted on environment setup Docker solves this by packaging your application and everything it needs into a single portable unit called a container. Think of it like this: Without Docker With Docker