Capture a live stream
Connect to the TCP stream-out and save a controlled data set for repeatable use.
Jason BeckmannSee the test workflow Case study 02
Beckmann Data Simulator
A desktop simulator that captures live operational data or replays stored stage files at real or accelerated speed—so timing-sensitive issues and edge cases can be reproduced on demand.
TCP STREAM SOURCE
LIVE CAPTURE STATUS
The operational problem
Operational software often depends on the sequence and timing of a stage—not just the individual data values. A dashboard, alarm, parser, or downstream workflow can behave differently when records arrive live, a channel shifts, or a condition develops gradually.
The simulator makes that behavior repeatable. It can ingest a live server stream-out for capture or replay a stored stage as a growing output file, at the pace needed to observe and validate the result.
The test workflow
Connect to the TCP stream-out and save a controlled data set for repeatable use.
Replay the stage in true time or accelerate it to assess longer operational sequences more efficiently.
Watch downstream systems handle live-style data, timing, and the exact condition being investigated.
Use the test-stream check and capture-status snapshot to confirm the input is flowing as expected.
REPLAY SPEED
Why speed matters
Variable-speed playback helps isolate how software responds over time. It supports faster debugging of live-data behavior while keeping the test scenario consistent from one run to the next.
Core capabilities
Read a stored ASCII or CSV stage file and reproduce the recorded sequence one data row at a time.
Preserve the original timing or compress the scenario so long-running behavior can be assessed quickly.
Capture a TCP stream into a controlled file for later replay, testing, and comparison.
Test the connection before capture, then use the live-capture status snapshot to confirm records and channel activity.
Screening interview summary
“I built Beckmann Data Simulator to make time-dependent operational-data problems repeatable. It can capture a live TCP stream-out or replay a stored stage file as live-style output, at the recorded pace or an accelerated speed. That means a team can reproduce an edge case, test a downstream workflow, and validate the result without waiting for the field event to happen again.”