DevOps and ML engineers need to monitor capacity and cost of self-hosted speech AI to optimize resource allocation.
Engineers may rely on limited vendor-provided metrics or manually collect logs, which is inefficient and incomplete.
Observability data of self-hosted speech AI is locked inside vendor containers, making capacity planning and cost management difficult.