
Over 18 months, Liu Chao engineered and enhanced core analytics and monitoring features for the deepflowio/deepflow repository, focusing on scalable backend systems and robust data pipelines. He delivered solutions for metrics aggregation, alerting, and tagging, implementing features such as policy-driven PCAP management, dynamic tag recording, and multi-database integration. Using Go, SQL, and ClickHouse, Liu Chao refactored query engines for accuracy, optimized database schemas, and improved observability through enriched logging and error handling. His work addressed data integrity, performance, and operational reliability, demonstrating depth in backend development and database management while enabling more precise analytics and streamlined monitoring workflows.
March 2026 – DeepFlow: Delivered robustness, expanded observability, and enhanced alerting capabilities across the query engine and data pipeline. Key fixes and features improved reliability, operational insight, and business value by ensuring correct computations, enabling finer-grained alert management, enabling auditability, and improving traceability during data generation.
March 2026 – DeepFlow: Delivered robustness, expanded observability, and enhanced alerting capabilities across the query engine and data pipeline. Key fixes and features improved reliability, operational insight, and business value by ensuring correct computations, enabling finer-grained alert management, enabling auditability, and improving traceability during data generation.
February 2026 performance summary for deepflow: Delivered major feature work and stability improvements across the core monitoring stack, with a strong emphasis on resource control, policy management, and improved observability. The month included four key feature areas, a critical bug fix in the querier, and targeted schema/logging enhancements that collectively boost operational efficiency and scalability.
February 2026 performance summary for deepflow: Delivered major feature work and stability improvements across the core monitoring stack, with a strong emphasis on resource control, policy management, and improved observability. The month included four key feature areas, a critical bug fix in the querier, and targeted schema/logging enhancements that collectively boost operational efficiency and scalability.
January 2026 performance summary for deepflowio/deepflow: Implemented policy-driven PCAP file management configuration to optimize storage utilization and controller efficiency. The new PCAP retention policy supports maximum PCAP file size and maximum number of PCAP files per business policy, enabling per-policy governance and scalable storage management. The work was implemented in the controller layer with repository configuration changes and committed as 'feat: controller add pcap repo config'. No major bugs fixed this month; focus remained on feature delivery, stability, and maintainable config management.
January 2026 performance summary for deepflowio/deepflow: Implemented policy-driven PCAP file management configuration to optimize storage utilization and controller efficiency. The new PCAP retention policy supports maximum PCAP file size and maximum number of PCAP files per business policy, enabling per-policy governance and scalable storage management. The work was implemented in the controller layer with repository configuration changes and committed as 'feat: controller add pcap repo config'. No major bugs fixed this month; focus remained on feature delivery, stability, and maintainable config management.
December 2025 monthly summary for repository deepflowio/deepflow focusing on delivering business-value through data-model and querier enhancements, plus reliability improvements.
December 2025 monthly summary for repository deepflowio/deepflow focusing on delivering business-value through data-model and querier enhancements, plus reliability improvements.
Month 2025-11 monthly work summary: Delivered end-to-end telemetry enhancements that improve data accuracy, context, and reliability across the DeepFlow platform. Implemented Tag Recorder enhancements with dynamic metrics support, deduplicating keys, handling NULL native tags, support for custom business services, and removal of ChTagLastUpdatedAt to simplify the data model. Strengthened data retrieval and DB query integrity with DM invalidate improvements, inclusion of id in vtap records, enhanced biz_type categorization, and Domain/SubDomain IDs for unique identifiers. Expanded Querier and Flow Log capabilities for business context, including grouping trace IDs, extended metrics operators, ratio limiting, deduplicated groups, and support for custom business services. Improved cache resilience with icon cache flushing and a self-healing mechanism for automatic resource recovery. Enhanced alarm policy and alerts with custom business service support and a new trigger_threshold field to improve responsiveness and relevance of alerts.
Month 2025-11 monthly work summary: Delivered end-to-end telemetry enhancements that improve data accuracy, context, and reliability across the DeepFlow platform. Implemented Tag Recorder enhancements with dynamic metrics support, deduplicating keys, handling NULL native tags, support for custom business services, and removal of ChTagLastUpdatedAt to simplify the data model. Strengthened data retrieval and DB query integrity with DM invalidate improvements, inclusion of id in vtap records, enhanced biz_type categorization, and Domain/SubDomain IDs for unique identifiers. Expanded Querier and Flow Log capabilities for business context, including grouping trace IDs, extended metrics operators, ratio limiting, deduplicated groups, and support for custom business services. Improved cache resilience with icon cache flushing and a self-healing mechanism for automatic resource recovery. Enhanced alarm policy and alerts with custom business service support and a new trigger_threshold field to improve responsiveness and relevance of alerts.
Monthly summary for 2025-10: Cross-team feature delivery and stability improvements in deepflow. Delivered clearer duration metrics, standardized naming, enhanced traceability, expanded metrics, and broader database support. These changes improve data accuracy, operator confidence, and business insight while reducing maintenance overhead and enabling more precise performance monitoring across MySQL, PostgreSQL, and DM database backends.
Monthly summary for 2025-10: Cross-team feature delivery and stability improvements in deepflow. Delivered clearer duration metrics, standardized naming, enhanced traceability, expanded metrics, and broader database support. These changes improve data accuracy, operator confidence, and business insight while reducing maintenance overhead and enabling more precise performance monitoring across MySQL, PostgreSQL, and DM database backends.
2025-09 monthly performance summary for deepflow: This month, we delivered and stabilized multiple data-source capabilities and performance optimizations, enabling richer observability and faster queries across key metrics surfaces. The work emphasizes business value through deeper insights, reduced latency for profiling data, and more robust metric management in production.
2025-09 monthly performance summary for deepflow: This month, we delivered and stabilized multiple data-source capabilities and performance optimizations, enabling richer observability and faster queries across key metrics surfaces. The work emphasizes business value through deeper insights, reduced latency for profiling data, and more robust metric management in production.
Monthly Summary for 2025-08: Delivered three core features in deepflowio/deepflow, focusing on tagging improvements, dedicated PCAP data storage, and clearer event categorization. Business impact includes improved data discoverability and analytics readiness, isolated PCAP storage for performance and scale, and reduced ambiguity in event types, enabling faster incident response and more accurate reporting.
Monthly Summary for 2025-08: Delivered three core features in deepflowio/deepflow, focusing on tagging improvements, dedicated PCAP data storage, and clearer event categorization. Business impact includes improved data discoverability and analytics readiness, isolated PCAP storage for performance and scale, and reduced ambiguity in event types, enabling faster incident response and more accurate reporting.
July 2025: Delivered reliability improvements across the querying stack with incremental tag dictionary updates, ClickHouse querier correctness fixes, and UI display name localization. These changes improve data accuracy, update efficiency, and user clarity, delivering tangible business value in data querying and configuration workflows.
July 2025: Delivered reliability improvements across the querying stack with incremental tag dictionary updates, ClickHouse querier correctness fixes, and UI display name localization. These changes improve data accuracy, update efficiency, and user clarity, delivering tangible business value in data querying and configuration workflows.
June 2025 monthly summary for deepflowio/deepflow. Delivered five core features and reliability improvements across Querier, Alarm Policy, Tag Recorder, security, and data accuracy. Key features delivered: (1) Configuration Management Event Types in Querier — extended enums to include attach-config, modify-config, detach-config in both Chinese and English to enable precise tracking of configuration changes. (2) Alarm Policy Schema Enhancement — added recovery_event_levels column, versioned migrations, and provided a backward-compatible SQL script to capture recovery event levels. (3) Tag Recorder: DB Creation Fix and ID PK Schema Alignment — fixed dynamic database name construction and migrated primary keys from pid to id for ch_os_app_tag and tags, with migration script 7.0.1.26. (4) Security Logging Enhancement — masking sensitive passwords in logs for dictionary updates, replacing with [HIDDEN]. (5) ClickHouse Querier Data Accuracy — refactored to filter out non-normal native fields using NATIVE_FIELD_STATE_NORMAL and state checks for accurate tag/metric retrieval. Major bugs fixed: tagrecorder database creation errors and incorrect gprocess values were resolved; additional refinements ensure only normal native fields are shown in tag queries. Overall impact: improved observability, reliability, and security; smoother migrations with versioned scripts; higher data accuracy in analytics. Technologies/skills demonstrated: ClickHouse, Querier, Tag Recorder, SQL migrations, multilingual support, security hardening, and data sanitization.
June 2025 monthly summary for deepflowio/deepflow. Delivered five core features and reliability improvements across Querier, Alarm Policy, Tag Recorder, security, and data accuracy. Key features delivered: (1) Configuration Management Event Types in Querier — extended enums to include attach-config, modify-config, detach-config in both Chinese and English to enable precise tracking of configuration changes. (2) Alarm Policy Schema Enhancement — added recovery_event_levels column, versioned migrations, and provided a backward-compatible SQL script to capture recovery event levels. (3) Tag Recorder: DB Creation Fix and ID PK Schema Alignment — fixed dynamic database name construction and migrated primary keys from pid to id for ch_os_app_tag and tags, with migration script 7.0.1.26. (4) Security Logging Enhancement — masking sensitive passwords in logs for dictionary updates, replacing with [HIDDEN]. (5) ClickHouse Querier Data Accuracy — refactored to filter out non-normal native fields using NATIVE_FIELD_STATE_NORMAL and state checks for accurate tag/metric retrieval. Major bugs fixed: tagrecorder database creation errors and incorrect gprocess values were resolved; additional refinements ensure only normal native fields are shown in tag queries. Overall impact: improved observability, reliability, and security; smoother migrations with versioned scripts; higher data accuracy in analytics. Technologies/skills demonstrated: ClickHouse, Querier, Tag Recorder, SQL migrations, multilingual support, security hardening, and data sanitization.
Month: 2025-05 — DeepFlow analytics improvements in deepflowio/deepflow. Key features delivered: - Improved metrics calculation and time-interval handling in ClickHouse to enhance accuracy for metrics like average bytes and request rate; fixed sliding-window logic. Major bugs fixed: - Fix slimit query handling and device/type tagging for queries: resolved auto-group slimit errors and corrected querier slimit processing. - Enforced not-null group tag filters to improve data querying accuracy and consistency. Overall impact and accomplishments: - More reliable dashboards and analytics through corrected metrics, robust query path, and improved resource tagging; reduced error surfaces in querying. Technologies/skills demonstrated: - ClickHouse-based metric improvements, query path refactoring, and tagging logic; stronger data correctness and performance-oriented mindset.
Month: 2025-05 — DeepFlow analytics improvements in deepflowio/deepflow. Key features delivered: - Improved metrics calculation and time-interval handling in ClickHouse to enhance accuracy for metrics like average bytes and request rate; fixed sliding-window logic. Major bugs fixed: - Fix slimit query handling and device/type tagging for queries: resolved auto-group slimit errors and corrected querier slimit processing. - Enforced not-null group tag filters to improve data querying accuracy and consistency. Overall impact and accomplishments: - More reliable dashboards and analytics through corrected metrics, robust query path, and improved resource tagging; reduced error surfaces in querying. Technologies/skills demonstrated: - ClickHouse-based metric improvements, query path refactoring, and tagging logic; stronger data correctness and performance-oriented mindset.
Concise monthly summary for 2025-04 focusing on delivered features, bugs fixed, impact, and skills demonstrated in deepflowio/deepflow. Highlights include three primary releases in April: Query Result Simplification removing auto-generated IP columns; Tag Recorder deletion correctness with GID-based handling; and Profile Service auto-discovery for AppService when not provided. These changes reduce noise in query results, improve correctness of deletion logic, and enhance profiling reliability with less manual configuration. Resulting business value includes cleaner analytics outputs, safer tag processing, and more robust profiling with fewer setup steps. Technologies involved include Go services, ClickHouse integration, tests updates, and GID-based ID mapping.
Concise monthly summary for 2025-04 focusing on delivered features, bugs fixed, impact, and skills demonstrated in deepflowio/deepflow. Highlights include three primary releases in April: Query Result Simplification removing auto-generated IP columns; Tag Recorder deletion correctness with GID-based handling; and Profile Service auto-discovery for AppService when not provided. These changes reduce noise in query results, improve correctness of deletion logic, and enhance profiling reliability with less manual configuration. Resulting business value includes cleaner analytics outputs, safer tag processing, and more robust profiling with fewer setup steps. Technologies involved include Go services, ClickHouse integration, tests updates, and GID-based ID mapping.
March 2025: Delivered feature and reliability improvements for deepflow, focusing on data categorization, alerting, and metrics reliability. Implemented Custom Service and Tag Category Enhancements (renaming categories, adding Custom Service enum, and mapping to RESOURCE_TYPE_CUSTOM_SERVICE for correct categorization and UI icons). Added Alarm Policy alert_time with a DB version bump to 7.0.1.12 for finer alert triggering. Fixed Custom Service Data misclassification by correcting device type to CH_DEVICE_TYPE_CUSTOM_SERVICE. Resolved ClickHouse backend metrics and tag handling issues: corrected metrics display for event table, removed unused IP columns, and simplified queries. Demonstrated strong backend engineering and data modeling skills, with direct business value in more accurate categorization, better alerting, and faster, reliable metrics.
March 2025: Delivered feature and reliability improvements for deepflow, focusing on data categorization, alerting, and metrics reliability. Implemented Custom Service and Tag Category Enhancements (renaming categories, adding Custom Service enum, and mapping to RESOURCE_TYPE_CUSTOM_SERVICE for correct categorization and UI icons). Added Alarm Policy alert_time with a DB version bump to 7.0.1.12 for finer alert triggering. Fixed Custom Service Data misclassification by correcting device type to CH_DEVICE_TYPE_CUSTOM_SERVICE. Resolved ClickHouse backend metrics and tag handling issues: corrected metrics display for event table, removed unused IP columns, and simplified queries. Demonstrated strong backend engineering and data modeling skills, with direct business value in more accurate categorization, better alerting, and faster, reliable metrics.
February 2025 highlights for deepflow (repo: deepflowio/deepflow). Focused on delivering native data-type support, automated tagging improvements, and stability fixes to strengthen data integrity, reliability, and business value across ClickHouse-backed analytics and Prometheus integrations.
February 2025 highlights for deepflow (repo: deepflowio/deepflow). Focused on delivering native data-type support, automated tagging improvements, and stability fixes to strengthen data integrity, reliability, and business value across ClickHouse-backed analytics and Prometheus integrations.
January 2025 (2025-01) monthly summary for deepflowio/deepflow. This cycle delivered targeted improvements across subnet querying, tag recording, observability, and policy capabilities, emphasizing business value: faster, more accurate queries; more flexible multi-database tagging workflows; and stronger observability and reliability for operations. Key deliverables included: subnet and VPC filtering enhancements for subnet queries with chost subnet filter and vpc filter (2f8ecf98, 4916d8f9), plus a SQL-level fix to ensure correct subnet filtering (c2c35617); PostgreSQL-backed tag recorder with centralized configuration and multi-database support (f02d6125, 3ac4c2d4); PostgreSQL host formatting bug fix in tagrecorder to ensure reliable connections (d4571814); Prometheus querier caching configuration to reduce latency and improve robustness in VM updater network ID handling (a6a8302c); dynamic metrics and observability improvements including refactored dynamic metrics in the ClickHouse querier and a new timeout_ratio metric (fa445ec3, 92382057); VTAP group support added to pcap and npb policies with a version bump (fed27296); and data model cleanup to remove deprecated tag-related definitions for consistency (410d695b). Overall impact: enhanced filter-based querying and data accuracy, improved reliability and performance of tag recording and metrics pipelines, and expanded policy capabilities that support richer security and network observability. These changes reduce troubleshooting time, increase scalability for multi-database tagging workflows, and strengthen operational visibility for proactive management.
January 2025 (2025-01) monthly summary for deepflowio/deepflow. This cycle delivered targeted improvements across subnet querying, tag recording, observability, and policy capabilities, emphasizing business value: faster, more accurate queries; more flexible multi-database tagging workflows; and stronger observability and reliability for operations. Key deliverables included: subnet and VPC filtering enhancements for subnet queries with chost subnet filter and vpc filter (2f8ecf98, 4916d8f9), plus a SQL-level fix to ensure correct subnet filtering (c2c35617); PostgreSQL-backed tag recorder with centralized configuration and multi-database support (f02d6125, 3ac4c2d4); PostgreSQL host formatting bug fix in tagrecorder to ensure reliable connections (d4571814); Prometheus querier caching configuration to reduce latency and improve robustness in VM updater network ID handling (a6a8302c); dynamic metrics and observability improvements including refactored dynamic metrics in the ClickHouse querier and a new timeout_ratio metric (fa445ec3, 92382057); VTAP group support added to pcap and npb policies with a version bump (fed27296); and data model cleanup to remove deprecated tag-related definitions for consistency (410d695b). Overall impact: enhanced filter-based querying and data accuracy, improved reliability and performance of tag recording and metrics pipelines, and expanded policy capabilities that support richer security and network observability. These changes reduce troubleshooting time, increase scalability for multi-database tagging workflows, and strengthen operational visibility for proactive management.
Month: 2024-12. This monthly summary highlights key features delivered, major fixes, and overall impact for the deepflow repository. It emphasizes business value and technical achievements with concrete deliverables and outcomes.
Month: 2024-12. This monthly summary highlights key features delivered, major fixes, and overall impact for the deepflow repository. It emphasizes business value and technical achievements with concrete deliverables and outcomes.
November 2024 summary focusing on delivering key features for alert data querying and multilingual presentation, with test coverage to improve reliability. Delivered two main features with associated testing, improving data accuracy, filtering, and multilingual presentation. No major bug fixes surfaced; tests and localization work contribute to reliability and global usability.
November 2024 summary focusing on delivering key features for alert data querying and multilingual presentation, with test coverage to improve reliability. Delivered two main features with associated testing, improving data accuracy, filtering, and multilingual presentation. No major bug fixes surfaced; tests and localization work contribute to reliability and global usability.
September 2024 monthly summary for deepflow (deepflowio/deepflow): Delivered a targeted bug fix by implementing a ClickHouse Version Compatibility Guard in the querier to ensure queries are only executed against supported ClickHouse versions. This included introducing a version constant and adjusting query logic to handle version-specific behavior, reducing runtime errors and version-related failures across deployments.
September 2024 monthly summary for deepflow (deepflowio/deepflow): Delivered a targeted bug fix by implementing a ClickHouse Version Compatibility Guard in the querier to ensure queries are only executed against supported ClickHouse versions. This included introducing a version constant and adjusting query logic to handle version-specific behavior, reducing runtime errors and version-related failures across deployments.

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