OTT & Media · Partly AI
Transcoding errors forecast a month ahead
A monitoring system for more than 7,000 channels that reads early warning signs in the broadcast metrics and forecasts transcoding errors up to a month before viewers would see them.
- Client
- An IT services provider that monitors transcoding and online broadcasting
- Segment
- OTT & Media, broadcasting
- Scale
- 7,000+ SD and HD channels
- Hosting
- A closed data centre, all traffic on internal infrastructure
- VictoriaMetrics
- Grafana
- GStreamer
Before
What was true before
The client’s previous system for aggregating transcoding and broadcast data had been hacked. It needed a replacement it could trust, and a way to see a failing channel before its viewers reported it.
After
What we did
A monitoring and aggregation system runs inside a closed data centre and collects bitrate, memory, CPU and device state from every channel. An analytics layer reads the current metrics for early signs, such as a rising error rate, and forecasts transcoding errors up to a month ahead.
Build log
How it was built
- 01
Rebuilt monitoring and aggregation inside a closed data centre
- 02
Pushed metrics from edge locations into several local data centres
- 03
Secured the system with certificates and closed ports
- 04
Tracked bitrate, memory, CPU, state and device status per channel
- 05
Built predictive analytics that forecast transcoding errors from early signs
- 06
Added automated QA tests that check databases, components and metrics on each update
- 07
Audited the GStreamer framework to make transcoding and live streaming more efficient
Measured
Results
As reported in the published case.
- SD and HD channels monitored
- 7,000+
- reported
- Transcoding errors forecast up to 1 month ahead
- reported
- Big data stored each month cut 10x
- reported
- Routine issue requests from end users cut 10x
- reported
- Issues addressed in about 2 minutes
Engagements
The services behind it
Engagement
Where this work sits
Next step
Yours would be the next one.
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