Transcode, stream, store
Media pipelines treated as first-class infrastructure, with the cost view that transcode and delivery workloads usually lack.
Transcode farms and egress are among the largest line items in a media business, and no general-purpose cloud tool breaks them out.
Transcoding jobs
FFmpeg-based transcode jobs and batches with presets and live progress.
FFmpeg-based transcode jobs and batches with reusable presets and live progress, so a media pipeline is something you can operate and observe rather than a queue you hope is moving.
- FFmpeg-based jobs and batches
- Reusable presets
- Live progress per job
Live streams
Stream monitoring.
Stream monitoring, so live delivery problems are visible while the stream is still running rather than in a post-mortem.
- Monitoring for live streams
- Problems visible during the event
Media storage
Storage footprint and tiering view.
Media libraries grow without bound and rarely get tiered. A storage footprint and tiering view shows what is being kept on expensive storage and what could move.
- Storage footprint across media assets
- Tiering view for cost reduction
Media cost savings
Savings specific to transcode and delivery workloads.
Transcode and delivery are among the largest line items in a media business, and general-purpose cloud tools do not break them out. Savings here are specific to those workloads.
- Savings specific to transcode workloads
- Delivery and egress cost visibility
MediaOps, answered.
Media pipelines treated as infrastructure. Transcode and delivery are among the largest line items in a media business, and general-purpose cloud tooling does not break them out. MediaOps is currently in beta.
FFmpeg-based jobs and batches with reusable presets and live progress per job.
Yes. Media cost savings are specific to transcode and delivery workloads, alongside a storage footprint and tiering view.
MediaOps is one module of 8.
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30-minute walkthrough. We connect to a sandbox and show this module running against real infrastructure.