
Tenzin Choedon developed and enhanced data processing infrastructure for the IMAP-Science-Operations-Center/sds-data-manager repository, focusing on reliability and resource management. Over three months, Tenzin implemented features such as Time Kernel Integration for L0 data processing, batch job timeout policies, and resource scaling for processing jobs. Using Python, AWS CDK, and AWS Lambda, Tenzin improved data reliability by integrating time kernels and handling leap seconds, while also introducing batch timeouts to prevent runaway executions. The work included scaling memory and CPU allocations, refining error reporting, and extending Lambda timeouts, resulting in more predictable, robust, and maintainable data processing pipelines.

October 2025 performance highlights for IMAP-Science-Operations-Center/sds-data-manager. Implemented processing job resource scaling and reliability improvements, and extended AWS Lambda timeouts to accommodate longer tasks. These changes improve stability, throughput, and predictability of data processing pipelines, reducing risk of runaway executions and premature task terminations. Commit tracing provides clear change lineage and easier rollback if needed.
October 2025 performance highlights for IMAP-Science-Operations-Center/sds-data-manager. Implemented processing job resource scaling and reliability improvements, and extended AWS Lambda timeouts to accommodate longer tasks. These changes improve stability, throughput, and predictability of data processing pipelines, reducing risk of runaway executions and premature task terminations. Commit tracing provides clear change lineage and easier rollback if needed.
September 2025 monthly summary for IMAP-Science-Operations-Center/sds-data-manager. Focused on stability and resource management for batch processing. Key feature delivered: 2-hour timeout for all batch processing jobs to prevent indefinite execution, improving stability and predictability of resource usage. No major bugs fixed this month. Overall impact: reduced risk of runaway batch processes, improved SLA adherence and observability. Technologies/skills demonstrated: reliability engineering, batch processing controls, commit-driven change management.
September 2025 monthly summary for IMAP-Science-Operations-Center/sds-data-manager. Focused on stability and resource management for batch processing. Key feature delivered: 2-hour timeout for all batch processing jobs to prevent indefinite execution, improving stability and predictability of resource usage. No major bugs fixed this month. Overall impact: reduced risk of runaway batch processes, improved SLA adherence and observability. Technologies/skills demonstrated: reliability engineering, batch processing controls, commit-driven change management.
Monthly summary for 2025-05 focusing on key accomplishments for IMAP-Science-Operations-Center/sds-data-manager. Delivered Time Kernel Integration for L0 Data Processing to improve reliability and timeliness, updated valid data sources and data types, added configurations for leap seconds and spacecraft clock data, and refined error reporting. Implemented staging-folder logic changes to reduce failure modes and fixed spin logic. Overall, these changes enhance data quality in L0 processing and strengthen downstream analytics readiness.
Monthly summary for 2025-05 focusing on key accomplishments for IMAP-Science-Operations-Center/sds-data-manager. Delivered Time Kernel Integration for L0 Data Processing to improve reliability and timeliness, updated valid data sources and data types, added configurations for leap seconds and spacecraft clock data, and refined error reporting. Implemented staging-folder logic changes to reduce failure modes and fixed spin logic. Overall, these changes enhance data quality in L0 processing and strengthen downstream analytics readiness.
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