In April 2026, DataDog/datadog-agent delivered two major autoscaling enhancements, expanding automation and workload coverage: - Namespace-wide batch onboarding for autoscaling profiles using a single metadata informer, enabling automatic management of all workloads in a labeled namespace. - Argo Rollouts support for autoscaling profiles, including startup-time API discovery and a Rollouts informer, so Rollouts are auto-managed just like Deployments and StatefulSets. These changes were driven by two commits and validated with unit tests and manual QA, with collaboration across team members.

2025-08 monthly summary: Delivered a substantive enhancement to the Datadog agent autoscaler by enabling vertical scaling recommendations for sidecar init containers. The change detects init containers based on their RestartPolicy, patches them accordingly, and refactors the patching logic into dedicated functions for maintainability. Added comprehensive tests to cover multiple scenarios, increasing confidence in behavior across environments. No major bugs fixed this month; stability unaffected while introducing the feature. Overall impact is improved resource utilization and faster, more accurate autoscaling decisions for deployments using sidecar init containers.