Signal
Support keeps seeing the same timeout
The phrase is visible in tickets, but tickets do not reveal the affected cohort or firmware version.
Playbook case study - Firmware log analytics
Case study: a pilot firmware rollout starts filling support tickets.
A pilot cohort is running a new build and support starts seeing repeated sensor timeout errors. For devices still checking in, use Dataplicity to connect log signatures to firmware version, class, rollout cohort, incidents, and remote diagnostics.
- Find the error signature across device logs.
- Correlate matches with version, class, and rollout cohort.
- Use remote checks only on devices that are online in Dataplicity.
- Hold or roll back the rollout with evidence attached.
What the operator knows
The support queue has several reports, but nobody knows whether the issue is widespread.
Context
The issue may align with a rollout
Dataplicity keeps version, class, tags, events, and logs tied to the same device record.
Decision
Engineering must decide whether to pause
The decision needs evidence, not anecdotes.
CLI investigation walkthrough
Query the signature, correlate affected devices, then preserve the evidence.
01 - Signature
Search logs for the repeated error
Start with the phrase support saw and let Dataplicity return device-aware matches.
$ dataplicity logs query "sensor read timeout" --last 6h --group-by device
devices=42
matches=389
top_device=<device>
first_seen=14:08The issue is broader than one support ticket and has a clear first-seen time.
02 - Correlate
Group matches by version and class
Logs know product context, not just text.
$ dataplicity logs query "sensor read timeout" --last 6h --group-by firmware,class,rollout
FIRMWARE CLASS ROLLOUT DEVICES
<version> <class> pilot-west 42
previous <class> stable 0The failure maps to the pilot rollout rather than the whole fleet.
03 - Evidence
Attach analysis to a rollout incident
Engineering and support need the same proof when deciding to pause or roll back.
$ dataplicity incidents create --title "Pilot rollout sensor timeout" --from-query <query>
incident=<incident>
evidence=log-query,affected-devices,version-summary
status=openThe incident carries the affected version, devices, and log proof for the rollback decision.
Operational conclusion
Move from log search to rollout control and customer messaging.
Pause
Hold the pilot rollout
The affected cohort is known, so engineering can stop expansion without guessing.
Target
Create a rollback cohort
Use class, version, and rollout tags to target exactly the affected units.
Inform
Share impact with support
Support sees the same device list, incident notes, and customer-safe summary.
Turn logs into product decisions.
Use Dataplicity to correlate errors with device class, version, rollout, incidents, and remote diagnostics.