Big-O notation is a mathematical representation that describes the upper bound of an algorithm’s time complexity, indicating how the runtime grows as the input size increases. It’s important because it helps evaluate the efficiency of algorithms, which is crucial when designing scalable DevOps tools that handle varying loads.