Author: ElenaMia
A wholesale distributor starts an IBM i modernization program with a clear goal: make the system look modern. Within six months, a new web interface replaces the 5250 screens for order entry and inventory lookup. Users are pleased, and executives see progress. Then the next requests arrive. Sales wants a customer API for a partner portal. Finance wants daily data in a cloud analytics platform. Operations wants an AI model to forecast demand. Each request runs into the same obstacle. The data sits in DDS-defined files with cryptic field names, no constraints, and business logic scattered across hundreds of RPG…
A large share of complaints about Google cloud computing services come from estates that could be running anywhere. Virtual machines sized like the on-premises servers they replaced, a managed database, object storage, and a bill that arrives monthly with no owner. Nothing in that architecture uses anything specific to the platform, so the platform delivers nothing specific. This is not a Google problem, and it is not a limitation of Google cloud computing services. It is what happens when a platform is chosen for reasons that never reach the architecture, and it is the most common reason GCP cloud services get described as expensive and unremarkable. What Google Cloud Computing…
There is a quiet cost hiding inside most growing applications. It does not show up on a dashboard and rarely makes it to boardroom slides. Yet, it slows teams down every single day. That cost is technical debt. At first, it may not seem problematic: a shortcut here, a quick patch there, a deadline met, or a feature shipped. Progress is being made. However, eventually, that very system starts resisting change. It becomes difficult to release features quickly, bugs become more common, and scalability gets challenging. That is where software product engineering services start to change the story—not through wholesale rewrites or overnight transformations, but by introducing structure to growth. The Hidden Weight…