June 2026: Focused on stabilizing developer and CI workflows for Dockerized tooling in mlrun/mlrun. Delivered a Dockerized schema compilation ownership fix that ensures files generated during Docker-based schema compilation are owned by the host user, simplifying cleanup on self-hosted runners and reducing permission-related friction across environments.

May 2026: CI stability enhancement for mlrun/ce by pinning GitHub Actions to immutable SHAs, eliminating flakiness from upstream Action updates and stabilizing CI pipelines and deployments. Commit 79238012c15a89d396b2e9bfa848d31edfac7ce3 implements [CI] CEML-709: Pin GitHub Actions to immutable commit SHAs (#296). This improves release confidence, predictability, and customer experience by ensuring consistent build environments.

Month 2026-03: mlrun/ce delivered SeaweedFS-based S3-compatible artifact storage for MLRun in Kubeflow Pipelines, with auto-mount and NodePort-exposed API, plus deployment and security hardening. Key upgrades include KFP 2.15.0 integration, Envoy ConfigMap for metadata services, and deployment controls (disable metadata pods by default; admin service configuration). Storage and deployment improvements include updating defaultPipelineRoot to the mlrun-ce bucket and refining storage auto-mount configuration. External access and credentials were updated to improve security and reliability of artifacts. Overall impact: more reliable artifact management, easier external access, and a safer, more scalable Kubeflow Pipelines integration.

February 2026 monthly summary for mlrun/ce: Focused on backend storage migration to SeaweedFS and S3 compatibility, with configuration and service updates to support the new storage backend. No documented major bug fixes this month; notable infrastructure change delivering long-term scalability and improved S3 interoperability.

March 2025 monthly summary for mlrun/ce focused on delivering a robust data plumbing enhancement and preparing MLRun CE for scalable data ingestion and streaming. The main delivery was the integration of TDengine and Kafka with Helm deployment, enabling simple, repeatable deployments of a complete data stack within MLRun CE.