Contribution is everywhere
Venues, encoders, cloud apps, remote crews, and partners all become part of the same live workflow.
Callaba gives broadcast, OTT, AV, and production teams one control plane for mission-critical live events, whether it runs in the cloud, on AWS, or self-hosted.
Monitor contribution, recover from failure, route outputs, record assets, and automate repeatable work around the live workflow.
Contribution can come from venues, encoders, cloud apps, remote teams, and partners. Operators need one shared surface to monitor feeds, recover from failure, route outputs, record assets, and automate repeatable work.
Venues, encoders, cloud apps, remote crews, and partners all become part of the same live workflow.
Teams need backup paths, file fallback, route state, and playback proof before viewers notice trouble.
Automation should extend the live workflow instead of creating another isolated tool around it.
Callaba is not a bag of video features. It is infrastructure for the operational path from ingest to recovery, routing, recording, delivery, and automation.
Bring SRT contribution feeds into a stable cloud entry point for venues, encoders, OBS seats, or remote production teams.
Use browser multiview, live stream stats, and playback proof before trouble reaches viewers.
Switch between main, backup, and prepared file fallback paths when live contribution becomes unstable.
Send the same controlled source toward SRT, RTMP, browser playback, NDI workflows, or downstream production tools.
Capture live assets and move them toward archive or VOD workflows without creating a separate operations stack.
Use the API to build internal panels, event provisioning, monitoring workflows, and repeatable launch routines.
Callaba 8.4 turns monitoring and recovery into an operator workflow: browser-based SRT multiview, route state, manual or automatic failover, and file fallback when live contribution breaks.
Live demo availableOpen a real Multiview board with live SRT feeds and failover context.Watch the browser demoPlace live inputs on a tile board, inspect stream metadata, monitor audio, and share the same board with remote operators.
Use manual or automatic failover logic with route visibility from the same monitoring workflow.
Move to a prepared cloud file when the main stream fails and a backup feed is not available.
The strongest proof is not that one feature worked. It is that the live workflow became easier to operate end to end.
Latency dropped, reach grew 22%, and productivity jumped 33% once playback, recording, distribution, and monitoring lived in one system.
We use Callaba web player to monitor SRT streams we send from the field to the studio. So far so good and it is cool that they allow us to remove the branding.
I can watch my SRT streams in the browser with an unlimited number of viewers. It also helped us when we needed a simple viewer-facing playback surface.
The live show needs hands-on control. The platform around it needs automation. Callaba gives both teams the same workflow boundaries.
Callaba gives production teams one place to watch contribution health, confirm playback, switch recovery paths, and route outputs during live events.
Engineering teams can extend the same ingest, routing, recording, playback, and storage model over API for internal panels and event automation.
Operate live in the UI. Automate the repeatable parts over API. Keep one workflow model.
Callaba is shaped around teams where failure, delay, or manual stitching gets expensive fast.
Monitor field feeds, switch backup paths, record the program, and route outputs to partners.
Manage contribution, playback proof, archive, API automation, and private deployment from one model.
Launch live video workflows again and again without rebuilding the stack for every project.
Use API-first control for provisioning, routing, recording, storage, monitoring, and internal tools.
Once the live operation is distributed, the weak link is rarely one codec or one server. It is the handoff between monitoring, recovery, routing, recording, delivery, and automation.
Give operators and remote stakeholders a shared view of contribution feeds, playback proof, and stream health.
Keep one contribution boundary, then route to social platforms, partners, and backup outputs.
Move remote contribution into operator-led production with SRT ingest, NDI handoff, and runtime monitoring together.
Capture streams and move assets toward S3, archive, replay, or VOD workflows from the same control plane.
Open the live control demo, launch Callaba on AWS, or talk to sales about self-hosted and private cloud deployment.