Big Data

Avoiding the cloud migration graveyard



The health of your infrastructure

As a cloud computing veteran, I’ve seen the good, the bad, and the downright ugly when it comes to cloud migration. It’s no secret that many cloud migration projects stumble, leaving companies scrambling to pick up the pieces. The good news is that most of these failures stem from common issues that can be avoided entirely.

The problems often begin with a lift-and-shift approach. Companies eager to jump on the cloud bandwagon try replicating their infrastructure in a new environment with few adjustments. This rarely works. Unless you properly refactor the systems with a deep understanding of data complexities, you’re trying to fit a square peg into a round hole. I’ve seen firsthand how this approach leads to misaligned systems with crippling performance issues and ultimately, project failure.

So, what’s the solution? First and foremost, stop and assess. Before migrating a single byte of data, thoroughly audit your existing architecture. Understand your system’s intricate web of applications, data flows, and dependencies. This critical step lets you map a clear path to the cloud, ensuring your target environment seamlessly accommodates your data and applications.



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