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From billion-dollar projects to small-scale rollouts, a decade of IT failures has taught us valuable lessons in software development and project management.
The tech industry is no stranger to high-profile IT failures. Over the past decade, we've seen everything from billion-dollar government projects collapsing under their own weight to smaller, seemingly straightforward initiatives that somehow managed to go off the rails. Each failure offers a unique set of insights, but collectively, they paint a picture of common pitfalls and best practices that can help us avoid similar issues in the future.
One of the most striking aspects of these failures is how often they follow predictable patterns. Here are some of the key issues that repeatedly lead to project derailment:
To better understand these issues, let's look at a few notable examples:
HealthCare.gov (2013): The launch of the U.S. Healthcare exchange website was marred by severe performance issues, leading to widespread user frustration and political fallout. Key problems included:
Knight Capital (2012): A software glitch in Knight Capital's trading system led to a $440 million loss in just 45 minutes. The root cause was:

While these failures are disheartening, they provide valuable lessons for software development and project management:
Applying these lessons requires a shift in mindset and a commitment to best practices. Here are some practical steps you can take:
By learning from past failures and implementing these best practices, we can build more reliable, efficient, and secure software systems. The tech industry is constantly evolving, and staying ahead of potential pitfalls is crucial for success.
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Original Sources
Lessons From a Decade of IT Failures
↗ https://spectrum.ieee.org/lessons-from-a-decade-of-it-failures/particle-7
About the author
Kai built ML infrastructure at a Bay Area startup before developing an obsession with transformer architectures and inference optimisation that eventually pulled him out of product work entirely. A stint at a compute research lab sharpened his instinct for what actually matters in a model release versus what is marketing. He writes from the inside — from the perspective of someone who has debugged the systems he is describing at three in the morning. He is allergic to hype and instinctively drawn to the unglamorous plumbing questions that everyone else skips over.
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