September 2025 monthly summary for DataDog/datadog-operator: Delivered a new CustomQuery autoscaling objective for DatadogPodAutoscaler, enabling autoscale decisions based on specific Datadog metric queries. This required updating validation annotations and deepcopy logic to support the new CustomQuery type, ensuring Kubernetes API compatibility and safer deployments. Focused on implementing a high-value feature that enables more precise scaling decisions and improves resource utilization. No additional major features or bugs were closed this month beyond the CustomQuery work; the team concentrated on solidifying the feature integration and validation across the operator.

April 2025: Implemented Orchestrator RBAC policy update to permit PodDisruptionBudget access, ensuring compatibility with Kubernetes v7.64.1+ and stabilizing orchestrator operations within DataDog/datadog-operator.

February 2025 (DataDog/datadog-operator): Delivered a major CRD upgrade for DatadogPodAutoscaler, introducing a new version with revised scaling policies and enhanced resource management. The change improves autoscaling stability and cost efficiency by clarifying policy semantics and tightening resource accounting, aligning with platform requirements and reducing operational risk.

Month: 2024-11 — Key delivery: PodDisruptionBudget Collection for Kubernetes Clusters in the DataDog Agent. Implemented end-to-end support to collect PodDisruptionBudget resources via new collectors, transformers, and processors; updated agent-payload dependency to align with new data structures. Commit baf79883c5a6a7409084389ee13a9e9886318391 ('Collect PodDisruptionBudgets in Cluster Agent (#30412)'). This work provides near real-time disruption visibility across clusters, enabling proactive management and reducing risk during maintenance windows. The change was delivered in the DataDog/datadog-agent repository and integrates with existing cluster agent telemetry.