Ingest
Accept the signal cleanly
Create stable SRT or RTMP ingress points before the workflow branches into routing, restreaming, recording, or playback.
CALLABA STREAMING ENGINE
Build the video workflow you actually need
Create stable ingest points, route signals where they need to go, record assets, publish players, and control the stack over API. Start in cloud, move to self-hosted, and keep the same workflow model in production.
Start from the workflow boundary
CloudLaunch a managed instance quicklyStart in AWS when the fastest path is proving the workflow, not designing infrastructure first.APIOpen the engine documentationGo straight to the modules if your team already knows the workflow boundary it needs to automate.Self-hostedKeep the same model on your own infrastructureUse the same module shape when your team needs tighter control over deployment, data, and persistence.
PLATFORM MODEL
One stack, four production layers
The platform works best when you treat it as a set of cooperating workflow modules rather than one giant video endpoint. That is the same model you now see in the API docs, the product pages, and the running product itself.
Orchestrate
Move the signal intentionally
Route to partner endpoints, social outputs, backup paths, players, and internal handoff layers without rebuilding around each destination.
Deliver
Publish what viewers actually need
Turn the same live or file-based source into web players, paywalled pages, grouped playback surfaces, and browser-based rooms.
Operate
Keep the workflow observable
Use the API, live stats, recordings, files, and storage layers as one control plane instead of a pile of separate tools.
NEXT STEP
Pick the entry point that matches your bottleneck
Start with cloud if you need a fast proof of value, go straight to the API if the workflow is already clear, or choose self-hosted when ownership of infrastructure and data is the first requirement.