Developed and delivered Horizontal Pod Autoscaler (HPA) support for datahub-gms within the acryladata/datahub-helm repository, focusing on enabling dynamic scaling and improved resource efficiency for Kubernetes deployments. The work involved creating new Helm chart templates and configuration options in YAML, ensuring that datahub-gms pods could scale automatically based on workload demands. Chart and subchart versions were updated to maintain compatibility with autoscaling features and align with Kubernetes best practices. The primary emphasis was on robust, traceable deployment changes rather than bug fixes, resulting in a more scalable and reliable deployment process for DataHub environments using DevOps methodologies.