Not everyone notices this, but there’s a huge difference between an app throwing a clear error and just hanging there, endlessly looping without getting anywhere. When Feedly started acting up a while ago, around nine in the morning right when I was trying to skim through the day's news while my coffee got cold on the desk, things got ugly fast. It’s not that the site was completely down, but you’d click on an article and that spinning wheel would just keep going, Chrome memory usage went through the roof, and the laptop sounded like it was about to take off. If you only use it to follow two or three cooking or tech blogs, okay, it’s annoying but you get over it. The issue is how many people actually rely on it for their actual jobs. Data analysts, cybersecurity folks, journalists who need to track real-time wire updates. When the system chokes, their entire workflow grinds to a halt. Honestly, I think the issue wasn't even the core infrastructure failing completely, but how the code handled the database bottleneck. When a query slows down and the app fails to drop the connection in time, users just start furiously smashing the refresh button. That triggers a total avalanche effect, software engineers call it the thundering herd problem if I recall correctly. Thousands of requests slamming the exact same door at once just because the first response took two seconds longer than usual. In my experience, what makes it so frustrating isn't even the bug itself, because bugs happen to everyone and anyone who builds software gets that. It’s the total lack of a simple heads-up. If the UI had just shown a subtle banner saying sync was delayed but I could keep reading cached posts, I wouldn't have wasted ten minutes rebooting my router thinking my internet was playing up. Then there’s how they handled communication while the house was burning down. It took them way too long to update their status page with anything useful, sticking to those generic canned responses nobody can stand anymore. For anyone paying for the pricey Pro or Enterprise tiers, watching the service crawl without knowing if engineering even found the root cause is a complete nightmare. The team managing infrastructure should have had tighter circuit breakers configured to automatically strip back heavy features the second latency spikes. Speaking of that browser CPU spike, I just remembered the client-side issue was happening on the mobile app too. It kept trying to sync read states in a loop that just wouldn't terminate. It's funny how dependent we've become on these tools to organize our day that a minor server bottleneck can instantly ruin your whole morning mood. Anyway, the other day something similar happened with another app and I just gave up and went to do something else.