
Andriy Landiak contributed to the thingsboard-edge repository by engineering robust backend features that enhanced edge computing reliability, data integrity, and system configurability. He developed and refactored Kafka consumer management, notification workflows, and OTA package handling, focusing on scalable, maintainable solutions. Leveraging Java, Spring Boot, and Kafka, Andriy implemented per-topic configuration, improved protocol compliance for MQTT, and integrated Azure IoT Hub support. His work addressed upgrade safety, alarm lifecycle management, and database schema hygiene, resulting in safer deployments and streamlined operations. Through careful code quality improvements and comprehensive testing, Andriy delivered solutions that balanced technical depth with operational resilience.

July 2025 (2025-07) monthly summary focused on delivering admin configuration capabilities, strengthening upgrade safety, improving alarm lifecycle integrity, aligning MQTT handling with protocol specs, and boosting platform stability and test quality. Business value achieved includes centralized admin control, safer and idempotent OTA upgrades, cleaner alarm states after deletions and processing, better client interoperability, and maintainable, reliable code. Key work highlights include focused commit activity across thingsboard-edge to implement AdminSettings integration, fortify OTA upgrades, ensure alarm cleanup, enforce MQTT client ID length per protocol version, and enhance overall testability and code quality.
July 2025 (2025-07) monthly summary focused on delivering admin configuration capabilities, strengthening upgrade safety, improving alarm lifecycle integrity, aligning MQTT handling with protocol specs, and boosting platform stability and test quality. Business value achieved includes centralized admin control, safer and idempotent OTA upgrades, cleaner alarm states after deletions and processing, better client interoperability, and maintainable, reliable code. Key work highlights include focused commit activity across thingsboard-edge to implement AdminSettings integration, fortify OTA upgrades, ensure alarm cleanup, enforce MQTT client ID length per protocol version, and enhance overall testability and code quality.
June 2025 monthly summary for thingsboard/thingsboard-edge focusing on delivering robust notification workflows, OTA package management enhancements, improved message handling, and database hygiene to boost reliability, scalability, and developer velocity.
June 2025 monthly summary for thingsboard/thingsboard-edge focusing on delivering robust notification workflows, OTA package management enhancements, improved message handling, and database hygiene to boost reliability, scalability, and developer velocity.
May 2025 monthly summary for thingsboard-edge focusing on delivering configurability, upgrade safety, and reliability across key integration points. This month emphasized per-topic Kafka consumer properties, MQTT protocol versioning with backward compatibility, Azure IoT Hub integration, OAuth2 tenant mapping improvements, and robust notification workflows with stronger tests.
May 2025 monthly summary for thingsboard-edge focusing on delivering configurability, upgrade safety, and reliability across key integration points. This month emphasized per-topic Kafka consumer properties, MQTT protocol versioning with backward compatibility, Azure IoT Hub integration, OAuth2 tenant mapping improvements, and robust notification workflows with stronger tests.
April 2025 monthly summary for thingsboard/thingsboard-edge focused on robustness and configurability. Delivered two major features that improve data integrity and scalability: Calculated Fields Handling Improvements and Kafka Consumer Per-Topic Properties Configuration. These changes reduce runtime errors, simplify configuration, and enable safer multi-topic deployments across edge environments.
April 2025 monthly summary for thingsboard/thingsboard-edge focused on robustness and configurability. Delivered two major features that improve data integrity and scalability: Calculated Fields Handling Improvements and Kafka Consumer Per-Topic Properties Configuration. These changes reduce runtime errors, simplify configuration, and enable safer multi-topic deployments across edge environments.
March 2025 focused on strengthening the reliability and clarity of calculated fields notifications in thingsboard-edge. Delivered a consolidated Calculated Fields Notifications Topic Configuration and corrected a series of topic naming and typo issues to improve routing accuracy and future maintainability.
March 2025 focused on strengthening the reliability and clarity of calculated fields notifications in thingsboard-edge. Delivered a consolidated Calculated Fields Notifications Topic Configuration and corrected a series of topic naming and typo issues to improve routing accuracy and future maintainability.
February 2025 (thingsboard-edge) — Delivered significant enhancements across notification, API client integration, widget metadata, and cross-service communication, while strengthening test stability and code quality. The work focuses on business value by improving configurability, reducing integration friction, and increasing system resilience.
February 2025 (thingsboard-edge) — Delivered significant enhancements across notification, API client integration, widget metadata, and cross-service communication, while strengthening test stability and code quality. The work focuses on business value by improving configurability, reducing integration friction, and increasing system resilience.
January 2025 monthly summary for thingsboard/thingsboard-edge. Focused on stabilizing edge-cloud interactions, strengthening data integrity, and improving operational reliability. Delivered three core features: Cloud Edge Connectivity and Initialization Improvements in CloudManagerService (enhanced RPC scheduling and init/partition handling); Cassandra configuration defaults aligned with Thingsboard Edge (cluster name and keyspace adjustments); Redis Lua script lazy loading with runtime SHA validation and improved logging for load/execution. Fixed critical issues: Telemetry data integrity to prevent outdated attribute overwrites (timestamp-based validation and tests); Alarm message routing fix ensuring alarm_ack/alarm_clear are routed via Push to Edge. Result: reduced data inconsistency risk, safer alert handling, and more stable release processes. Technologies/skills demonstrated: CloudManagerService architecture refinements, Cassandra configuration tuning, Redis Lua scripting with lazy loading and runtime validation, test automation stabilization, and improved observability.
January 2025 monthly summary for thingsboard/thingsboard-edge. Focused on stabilizing edge-cloud interactions, strengthening data integrity, and improving operational reliability. Delivered three core features: Cloud Edge Connectivity and Initialization Improvements in CloudManagerService (enhanced RPC scheduling and init/partition handling); Cassandra configuration defaults aligned with Thingsboard Edge (cluster name and keyspace adjustments); Redis Lua script lazy loading with runtime SHA validation and improved logging for load/execution. Fixed critical issues: Telemetry data integrity to prevent outdated attribute overwrites (timestamp-based validation and tests); Alarm message routing fix ensuring alarm_ack/alarm_clear are routed via Push to Edge. Result: reduced data inconsistency risk, safer alert handling, and more stable release processes. Technologies/skills demonstrated: CloudManagerService architecture refinements, Cassandra configuration tuning, Redis Lua scripting with lazy loading and runtime validation, test automation stabilization, and improved observability.
December 2024 performance focus for ThingsBoard Edge (thingsboard/thingsboard-edge) delivered several core enhancements, reliability improvements, and release-readiness improvements that create tangible business value: more reliable edge operation, safer migration paths, scalable deployment options, and clearer code quality signals. The work aligns with our platform’s goals of stronger edge autonomy, simpler deployment, and faster time-to-value for customers.
December 2024 performance focus for ThingsBoard Edge (thingsboard/thingsboard-edge) delivered several core enhancements, reliability improvements, and release-readiness improvements that create tangible business value: more reliable edge operation, safer migration paths, scalable deployment options, and clearer code quality signals. The work aligns with our platform’s goals of stronger edge autonomy, simpler deployment, and faster time-to-value for customers.
November 2024 monthly summary for thingsboard-edge. This period delivered key upstream alignment, expanded data processing capabilities, and targeted reliability improvements, enabling safer releases, more reliable end-to-end data pipelines, and broader deployment scenarios for customers.
November 2024 monthly summary for thingsboard-edge. This period delivered key upstream alignment, expanded data processing capabilities, and targeted reliability improvements, enabling safer releases, more reliable end-to-end data pipelines, and broader deployment scenarios for customers.
October 2024: Two core features delivered for thingsboard-edge that enhance reliability and scalability of edge Kafka processing. 1) Edge Kafka Consumer Management Enhancements: refactored edge event processing with correct polling strategy, introduced QueueConsumerManager, and improved session lifecycle based on queue type. 2) Edge Topic Cleanup and Per-Topic Poll Configuration: added cleanup service for empty edge topics and per-topic poll settings (max.poll.records, max.poll.interval.ms) with safe deletion checks. Overall impact: more predictable performance, reduced resource waste, and easier operational tuning. Technologies: Kafka, edge processing, queue-based session management, topic cleanup, poll configuration.
October 2024: Two core features delivered for thingsboard-edge that enhance reliability and scalability of edge Kafka processing. 1) Edge Kafka Consumer Management Enhancements: refactored edge event processing with correct polling strategy, introduced QueueConsumerManager, and improved session lifecycle based on queue type. 2) Edge Topic Cleanup and Per-Topic Poll Configuration: added cleanup service for empty edge topics and per-topic poll settings (max.poll.records, max.poll.interval.ms) with safe deletion checks. Overall impact: more predictable performance, reduced resource waste, and easier operational tuning. Technologies: Kafka, edge processing, queue-based session management, topic cleanup, poll configuration.
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