Worked on enhancing reliability and scalability in the porter-dev/porter-charts repository by addressing deployment configuration and autoscaling challenges. Implemented a deployment template fix using YAML to ensure correct nested Values resolution, which reduced deployment errors and improved metrics scraping reliability. Introduced a new KEDA Prometheus scaler option that leverages Kubernetes and DevOps practices, allowing scaling to fallback replicas when Prometheus returns empty metrics. This approach improved operational resilience by ensuring responsive autoscaling even during metric data gaps. The work focused on cloud native principles, delivering measurable improvements in resource efficiency and reducing the risk of incidents in production environments.