
In March 2026, V. Tubbs developed a time-estimation feature for in-progress jobs in the aws-deadline/deadline-cloud repository. The solution calculates remaining job time by averaging the durations of completed tasks and multiplying by the number of tasks left, presenting the result in a human-readable format such as “5 minutes” or “1 hour, 30 minutes.” Implemented in Python with a focus on backend and CLI development, the feature integrates with both the job list and job get endpoints. Tubbs ensured robust handling of edge cases, returning “N/A” when no estimation is possible, reflecting thoughtful engineering and attention to reliability.
March 2026: Delivered a new time-estimation capability for in-progress jobs in aws-deadline/deadline-cloud, significantly improving planning visibility and SLA management. The feature estimates remaining time by averaging durations of completed tasks and multiplying by the number of remaining tasks, outputting human-readable durations (e.g., '5 minutes', '1 hour, 30 minutes') and returning 'N/A' when estimation is not possible (no completed tasks yet or job is finished). Implemented end-to-end integration with both the deadline job list and the deadline job get endpoints to surface the estimates.
March 2026: Delivered a new time-estimation capability for in-progress jobs in aws-deadline/deadline-cloud, significantly improving planning visibility and SLA management. The feature estimates remaining time by averaging durations of completed tasks and multiplying by the number of remaining tasks, outputting human-readable durations (e.g., '5 minutes', '1 hour, 30 minutes') and returning 'N/A' when estimation is not possible (no completed tasks yet or job is finished). Implemented end-to-end integration with both the deadline job list and the deadline job get endpoints to surface the estimates.

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