June 2026: Focused on reliability and maintainability improvements across Doris-related deployments. Implemented Doris upgrade process enhancements in TencentBlueKing/blueking-dbm, refined HDFS scale-down cleanup with better DN config handling, and fixed a critical backend ID overflow issue in Doris to prevent stream load failures. These changes reduce upgrade risk, improve configuration management, and stabilize data ingestion pipelines, delivering clear business value and stronger operational readiness.

April 2026 monthly summary for TencentBlueKing/blueking-dbm focusing on Doris migration flow work. Delivered Doris Migration Flow and API Endpoint, enabling virtual application of cluster and IP metadata, with migration logic integrated into the Doris controller and a dedicated fix addressing migration flow issues.

February 2026 monthly summary for TencentBlueKing/blueking-dbm. Focused on stabilizing HDFS domain name resolution within the HDFS configuration by delivering a targeted bug fix with robust error handling and DNS fallback. The change enhances domain name mapping accuracy and system resilience, especially in multi-tenant deployments.

December 2025 focused on HDFS deployment flow optimization in TencentBlueKing/blueking-dbm. Implemented a version-aware deployment strategy that selects between V1 and V2 deployment processes based on the database version, with the flow logic refactored into distinct V1 and V2 classes to improve maintainability and scalability. Added new data handling and IP management utilities to ensure robust deployment and easier future enhancements. This work reduces deployment risk, shortens cycle times, and lays groundwork for scalable, version-aware deployments.

Month: 2025-11 — Delivered Doris Cluster Usage Monitoring and Metrics Retrieval for TencentBlueKing/blueking-dbm, strengthening observability and capacity planning for Doris deployments. Implemented master node synchronization and remote storage usage tracking, and introduced periodic tasks to fetch and cache metrics for near real-time visibility. Focused on delivering business value through improved monitoring, faster issue detection, and data-driven resource decisions.

July 2025 monthly summary for TencentBlueKing/blueking-dbm. Delivered Doris Cold Storage Enablement (COS) and Resource Management, expanding Doris clusters with COS support, introducing new resource models, migrations, and updates to cluster lifecycle flow to include cold storage. Implemented commands and service implementations to create/drop cold storage resources, enabling governance and lifecycle management. No critical bugs reported this month; work focused on enabling COS adoption and laying groundwork for data lifecycle management. Business value includes data lifecycle flexibility, potential storage cost optimization, and improved operational scalability. Technologies demonstrated include COS integration, Doris resource modeling, cluster lifecycle orchestration, and service-layer design for resource management.

Month: 2025-04 — This month's primary deliverable was integrating the Backup System with the API Gateway for blueking-dbm. Implemented configuration updates to the backup system to interface with the API Gateway, incremented Helm chart versions, and adjusted Kubernetes configmaps to align API endpoints. No major bugs fixed this month. Business value includes improved backup reliability, streamlined external integration, and safer, auditable deployments.

January 2025 monthly summary: Focused on stabilizing CMDB accuracy for mixed deployments and expanding backup capabilities. Key accomplishments include delivering a Kafka CMDB Cluster Instance Transfer Fix to correct mis-registration of Kafka brokers and Zookeeper instances into the proper CMDB modules, with an associated Doris backend disk usage alarm tuning. Also delivered Backup-server MySQL Database Backup Support, introducing new configuration hooks to connect to old_server_mysql (host, port, user, password, database, charset), incrementing the appVersion, and gating backups behind an apply_db flag in the HDFS backup-server configuration. These efforts reduce data inconsistency risk, enable planned backup workflows, and improve operational safety.