There is no universal monthly price for running a prerecorded YouTube Live stream from the cloud. Your estimate depends on the architecture, provider and region, operating hours, bitrate, storage, and any optional services. For a simple relay that reads a file from cloud storage and sends one feed to YouTube, total the runtime, storage, cloud-to-YouTube transfer, and only the additional services your design actually uses.
Define what your estimate includes
Start by deciding whether you are pricing a relay or a complete video-delivery system. A relay sends one contribution feed from a cloud process to YouTube Live. It does not, by itself, include serving viewers from your own cloud infrastructure.
By contrast, a full live-video workflow may encode multiple renditions, package and originate the stream, and distribute it through a CDN to viewers. AWS documents these as distinct parts of live and video-on-demand workflows (AWS CloudFront streaming guide). Its worked live examples include encoding, packaging, and viewer distribution; their totals should not be applied to a simple feed sent to YouTube.
Build the monthly cost from the services you use
Use this planning formula:
Monthly total = compute/runtime + storage + transfer + enabled service charges + applicable taxes or fees.
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Price each line using the selected provider’s current calculator or rate card for your region. This is a model, not a current price quote: no current provider rates for a relay-only setup are established here.
Compute and runtime
Count the hours your virtual machine or managed encoding/relay service will run during the month. Include the selected instance or service capacity, and any extra capacity required by your encoding settings. A process that runs continuously costs differently from one scheduled only for certain hours; include restart or standby capacity if your design uses it.
Storage and requests
Include the source recording retained in cloud storage and any intermediate or output files your workflow keeps. Estimate the average stored amount over the billing period, not just the upload size if files accumulate. Add storage request charges where the provider bills them, and include backups only if you enable them.
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Cloud-to-YouTube transfer
Estimate the data sent from the cloud relay to YouTube from the stream bitrate and total operating time, then apply the provider’s current regional transfer rates and any applicable allowances. Keep this contribution feed separate from traffic delivered to viewers: a relay pushing one feed to YouTube is not a cloud CDN delivering a copy to each viewer.
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Bitrate and hours determine the volume to price; they do not establish a universal monthly cost. Use consistent units in your calculation, and check whether the provider’s rate applies to the direction and destination of the traffic in your design.
Optional services and fees
Add only services present in the architecture. Possible items include transcoding, packaging, redundancy, logs and metrics, backups, static addresses, or a CDN. A simple relay may not need some or any of these. Taxes and other applicable fees belong in the estimate as separate line items.
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Use a published AWS example only as a full-stack comparison
AWS’s live-streaming planning documentation, accessed in 2026, gives an example of about $3,838.69 for 200 hours per month. Its assumptions are about 100 viewers, an HD 1080p encoding profile, US East (N. Virginia), standard pricing without free-tier benefits or discounts, and a full MediaLive/MediaPackage/CloudFront workflow. AWS breaks that example into about $904.69 for live encoding and packaging and $2,934.00 for delivery of 36,035 GB (AWS live-streaming cost example).
Those figures illustrate how viewer distribution can dominate a full streaming stack. They are not a relay-only quote or a current rate guarantee: AWS says, “Prices are subject to change,” and notes that examples depend on assumptions and may be higher than actual use. Do not substitute the total for a design that sends one feed to YouTube.
Make the estimate reproducible
- Write down the architecture. Identify whether you use a VM or managed service, and whether encoding, packaging, redundancy, or viewer delivery is included.
- Set the operating schedule. Calculate expected runtime hours for the month and note any standby or failover capacity.
- Record the media assumptions. Specify bitrate, resolution, number of renditions, and the hours streamed. These inform compute capacity and transfer volume.
- Estimate retained data. Record the source-file size, retention period, and any intermediate, output, or backup files, plus request charges if applicable.
- Price each line for the actual region. Use the provider’s current calculator or rate card for compute, storage, transfer, and enabled services. Record allowances, discounts, and pricing assumptions rather than silently assuming them.
- Add fees and validate. Include applicable taxes or fees, then compare the estimate with actual usage after deployment and revise the assumptions.
Region, current rates, discounts, bitrate, runtime, redundancy, and service choices can materially change the result. AWS recommends creating a budget through Cost Explorer to help manage cloud spending (AWS Cost Explorer budgets).
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Choose the right comparison before choosing a design
When comparing architectures, keep the cost boundaries consistent. A relay-only design and a system that encodes, packages, and distributes video to viewers are not equivalent services. Compare runtime model, bitrate and renditions, redundancy, region and transfer pricing, and retained files or ancillary services. The available AWS examples explain cost categories, but do not establish a current, directly comparable price table for relay-only alternatives.
YouTube’s encoder guidance recommends RTMPS for YouTube Live and describes it as a secure extension of RTMP; it also discusses HLS for encoders that do not support the relevant RTMP capabilities (YouTube Live encoder settings). That guidance helps identify the destination protocol; it does not provide a cloud relay price.
Or let it run in the cloud
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Quick Recap
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