Tuning Go Application, which has GC issues with a few steps

Working on a project involving Kafka and Google Cloud Storage, the author faced significant GC issues with their Go application compared to the Confluent Google Cloud Sink Connector. By employing techniques like using sync.Pool, preallocating slices, switching to the bytedance/sonic JSON library, and tuning GOGC and GOMEMLIMIT settings, they improved performance, reducing GC pause frequency and time, while increasing CPU utilization and memory usage for better overall efficiency.