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Calls over a network fail. Not often, but they do. A server restarts. A load balancer drops a connection. A service is busy for a few seconds. If your code gives up on the first failure, users see err
Most APIs return lists. Users, orders, posts, logs. Lists grow. One day a list is too big to send in one response. The call gets slow. Memory goes up. Clients time out. Pagination fixes this. You send
Most migration outages I've seen weren't caused by a bad idea. They were caused by a perfectly reasonable ALTER TABLE that grabbed a lock at 2 PM on a Tuesday and sat there while every request queued
The invoice arrives, it's higher than last month, and the Slack thread starts: "Was it the new staging cluster? The log volume? That data export job?" Nobody knows, because nobody can connect a dollar
Most CI pipelines start the same way: someone creates a cloud access key, pastes it into the repository's secrets, and the deploy job works. Months later that key still exists, it has more permissions
