Make batch jobs
visible while they run

Batch jobs are often where business-critical work happens: importing records, checking data quality, producing reports, reconciling systems, or cleaning up queues. They also tend to run away from the main application request cycle, which makes them harder to observe with normal product dashboards.

OpenTrace gives these jobs a direct way to report status. Instead of waiting for a terminal log or final success message, a job can send a progress event after each batch, a metric for records processed, a note when it switches phases, a payload when it detects an unusual condition, and a milestone when it reaches a major checkpoint.

What to emit

Start with the questions people ask during an incident or handoff. How many records have been processed? Which source file is active? Has validation started? Did the job skip anything? Is the current rate normal? Each answer can become a small telemetry event.

Where it helps most

Data imports, web scrapers, worker process dashboards, and internal operations monitoring all benefit from this approach. The reporting code stays small, but the operational picture becomes much clearer: the dashboard shows activity, not just a binary final result.

Keep logs, add a live view

Logs still matter when you need low-level detail. OpenTrace complements them by showing the shape of the run. That distinction is useful: logs explain individual lines of execution, while OpenTrace summarises the process in terms operators can scan quickly.