Event stream processing focuses on taking action on the data in real-time as it arrives. Patterns play a big role in ESP and help identify important sequences or behaviors. Abnormality detection patterns help to identify exceptional or unexpected data behavior. ESP systems need pattern matching to analyze, comprehend, and react in real-time to the flood of massive amounts of streaming data. FlinkCEP, a library built on Apache Flink, helps users spot complex patterns in event streams. Pattern API allows us to create and build complex pattern sequences to extract from the input stream. You can use the PatternStream API to connect the event stream and the pattern. FlinkCEP supports more complex patterns like loops, time windows, and branches. Appending patterns to event stream processing is essential as it allows companies to automate things, improve operational efficiency, and make faster, more accurate decisions.