Developed and delivered batch-based event processing capabilities to enhance scalability and efficiency for large-scale Argo CD deployments. Focused on the argoproj/argo-cd and codefresh-io/argo-cd repositories, the work introduced configurable batch processing pipelines using Go concurrency primitives such as goroutines and channels. These changes reduced resource lock contention and improved throughput and latency in event handling. The implementation included new event metadata types, updated cluster cache logic, and added monitoring metrics for observability. Configuration management was enhanced through environment variables, while dependency management and duration parsing were refined, resulting in more predictable performance and improved operational visibility for Kubernetes environments.