Investigating System Errors
Save $300K annually in break-fix costs and reduce MTTR by 37%
A European streamer saves $300K annually by removing the need for manual monitoring of performance during key launches.
A UK Sports streamer reduced MTTR by 33% by leveraging AI Alerts.
If your team detects a sudden increase in technical video playback failure, how long will it take to determine the root cause of the issue? Would that be different if it impacted 100 viewers versus 1 million? Streaming operations teams need to investigate and address systems errors in real-time, to ensure all content is accessible and viewers are not turned away from the service because of bad experience.
Leverage Conviva’s multi-dimensional drill down and hypercube engine to perform granular analysis to uncover specific device types, CDNs, assets, etc. experiencing VPF to address why an issue is occurring. Operationalize AI-powered alerting to be informed of issues as soon as they happen.