Use-case starting pointsStart from the workload that sounds like your buyer, not from raw infrastructure terms
These are the patterns teams usually recognize first. Pick the one closest to your real workflow and we will load the calculator with matching assumptions for audience size, runtime, restream, and archive.
Church streamingOne SRT input, a few social outputs, replay archive
This is usually an audience-and-archive story first: weekly live hours, modest concurrency, two or three social destinations, and replay that stays available after the service.
20 live hours / month~450 concurrent viewers3 outputs30-day archive
Virtual eventsPublic playback where viewer-hours dominate the decision
This is the classic workflow where buyer language should be viewers and watch-time first, then CDN and archive assumptions second. Peak audience and replay matter more than small runtime details.
36 live hours / month~2,200 concurrent viewers68-minute watch time45-day archive
24/7 channelAlways-on delivery with fewer operational spikes
A 24/7 workflow is less about event ops and more about stable runtime, continuous delivery, and whether archive is actually needed or just assumed out of habit.
720 live hours / month~180 concurrent viewers1 outputArchive off by default
Internal or partner deliveryPrivate viewers, policy-sensitive environments, smaller audiences
This is where self-hosted starts becoming more attractive: lower public delivery pressure, more private networking, and higher sensitivity to deployment control and region policy.
60 live hours / month2 channels~120 concurrent viewersPrivate delivery
Developer workflowBrowser playback and event delivery inside your own product
This is the right frame when pricing has to map to product usage: runtime, playback sessions, archive, and delivery provider assumptions all have to fit an API-led story.
48 live hours / month2 channels~900 concurrent viewersAPI-led delivery