A 24/7 YouTube stream on Amazon EC2 has no single monthly price: the bill depends on the instance, region, operating system, runtime, source bitrate and transfer route. If the instance only sends a feed to YouTube, estimate that compute and source upload path; do not price it as if EC2 also serves every viewer.
A useful estimate starts with the hourly compute rate multiplied by billed hours, then adds the costs that actually apply to your setup, such as outbound transfer, storage, a public IPv4 address or monitoring. YouTube handles viewer playback when the stream goes directly to YouTube; AWS media delivery services are a separate design and a separate bill.
Why the monthly price varies
“24/7” describes how long the process is intended to run, not what it costs per hour. Two channels that send the same video continuously can have different EC2 bills because they use different instance types, regions, operating systems or pricing arrangements. A machine sized for simple file playback may be inadequate if it must encode video in real time; paying for spare CPU capacity you do not use is another kind of waste.
The first question is what the EC2 workload actually does. If it reads a looped file and pushes a prepared stream to YouTube, estimate a source encoder or relay. If it also serves a website, stores media, processes recordings or distributes video to viewers, those are additional workloads with their own resources and traffic. Do not fold all of them into an unexplained “streaming server” figure.
A defensible estimate needs a short list of inputs: AWS region, instance type, operating system, expected running time, pricing model, video bitrate, network path and any attached services. The price can also change with account-level allowances and AWS pricing updates. AWS’s On-Demand EC2 pricing page is a starting point, not a substitute for checking your selected configuration in the current calculator.
Calculate the EC2 runtime cost
For a first-pass compute estimate, use this formula:
Instance hourly price × billed hours = estimated instance compute cost
Choose the region where you intend to run the workload, the instance family and size, and the operating system. Then find the applicable rate for the pricing model you will actually use. On-Demand is straightforward for a workload whose schedule may change, while commitments or eligible discounts require you to understand their terms and whether the channel will run long enough to benefit. Do not compare one option’s headline hourly rate with another option’s total cost without matching the assumptions.
A prepared video that is merely read and sent is not the same compute job as live encoding. For live encoding, resolution, frame rate, codec and the complexity of the source affect the CPU headroom you need. A smaller instance may look cheaper on paper but fail to encode smoothly, while a larger instance adds cost even if the encoder is idle much of the time. Test the actual workload before treating an instance size as sufficient.
AWS states that On-Demand instance billing begins when an instance is launched and ends when it is stopped or terminated; billing details depend on the operating system and instance, including per-second billing for listed OS types with a 60-second minimum. Check the current AWS pricing terms for the selected configuration rather than assuming every instance follows the same billing details.
The result here is only the instance line. Add EBS storage for any attached volumes, and check whether a public IPv4 address, snapshots, monitoring or other services are part of the deployment. These charges are not included just because the instance rate has been calculated. AWS points to separate pricing for services such as EBS and CloudWatch, so list them individually when they apply.
If you want a practical way to test a remote encoder before committing to an instance, the article on running a YouTube live stream from a remote server without OBS covers the operating choices. The cost estimate still needs your own region, OS, stream settings and actual runtime.
Use 730 hours as a planning approximation
For a continuously running channel, roughly 730 hours is a useful planning approximation for one month. It is not a universal billing period or a promise that every calendar month has the same number of hours. Multiply the chosen hourly compute rate by this planning figure for a rough monthly instance line, then replace the approximation with the actual hours you expect to be billed if you know the start date, stop schedule or month you are modelling.
For example, if you have an hourly rate from the AWS calculator, write the estimate as “that rate × about 730 hours” rather than inventing a dollar total from an unspecified instance. The exercise makes it easy to compare compute choices while keeping assumptions visible. It does not include transfer, storage or add-on services.
Also distinguish planned runtime from billed runtime. A process can stop while the instance continues running, in which case compute charges can continue. Conversely, if you deliberately stop an instance for a scheduled break, the compute line may change, while storage and other resources can remain billable. Check the current AWS terms for the resources in use and keep a record of when the instance is launched, stopped or terminated.
A channel that is expected to remain on overnight needs a recovery plan as well as a calculator. A lost process, expired credential or instance interruption can mean the feed stops while the bill continues. For local troubleshooting, OBS log settings for an overnight stream can help you identify what failed; logging will not, by itself, prevent a failure or reduce the AWS rate.
Model the source upload and egress route
The source bitrate determines how much data the EC2 workload sends towards YouTube. To estimate raw volume, multiply bitrate by seconds in the period and divide bits by eight to convert to bytes. A steady 6 Mbps source over 30 days works out as 6 megabits per second × 2,592,000 seconds ÷ 8, or about 243,000 decimal GB before protocol overhead. That is a data-volume calculation, not a claim about the dollar charge.
Your encoder’s actual bitrate may vary, and protocol overhead can add to the amount sent. YouTube publishes different bitrate recommendations by resolution and frame rate; for H.264 it recommends 5–14 Mbps for 1080p at 30 fps and 6–17 Mbps for 1080p at 60 fps. Those are YouTube’s recommendations, not a requirement to choose the top of a range. A lower suitable source bitrate means fewer bytes on the upload path, but must still fit the picture quality and content you need. See YouTube’s encoder settings guidance and choose settings for your actual source.
The next step is to identify how bytes leave AWS. If the path is billed as internet data transfer out, apply the current regional pricing and any applicable account-wide allowance. AWS lists 100 GB per month of internet data transfer out free, aggregated across AWS services and regions, with exceptions; check the current pricing page and your account situation before subtracting an allowance. Other routing arrangements can change which charges apply, so do not assume that the volume calculation alone tells you the transfer line.
A rough monthly volume can sound surprising because a continuous multi-megabit feed sends data all day, even when only a small audience is watching. That is source traffic, from your encoder towards YouTube. It is not a viewer-count multiplier unless AWS is separately delivering playback to those viewers. For a troubleshooting-oriented look at source continuity, see keeping a YouTube radio stream running with Liquidsoap and FFmpeg; the software choice does not remove the need to model the transfer path.
YouTube recommends RTMPS for live ingest and its encoder setup uses a server URL and stream key. Treat the stream key as a credential: keep it out of public scripts and rotate it if it is exposed. YouTube’s encoder setup instructions explain where those details belong. The source stream being received by YouTube is a different traffic path from YouTube’s delivery of playback to viewers.
Separate viewer delivery and media services
When EC2 sends a feed directly to YouTube, YouTube receives the source and distributes playback through YouTube’s own service. Your EC2 transfer estimate should therefore be based on the feed sent to YouTube, not the number of people watching on YouTube. A stream with more viewers does not automatically mean more EC2 egress on this architecture.
The calculation changes if AWS is also serving playback or performing media functions. An architecture that encodes, packages, originates or delivers the stream to viewers can involve services such as MediaLive, MediaPackage and CloudFront. Those introduce their own usage dimensions and charges. AWS’s live-streaming deployment guide describes AWS delivery architectures; it is not a price for a single EC2 instance that pushes to YouTube.
Keep the traffic paths in separate rows in your estimate:
| Cost line | What drives it | Include it when |
|---|---|---|
| EC2 compute | Instance, region, OS, pricing model and billed runtime | The instance runs the encoder or relay |
| Source transfer | Bitrate, runtime and the applicable outbound route | EC2 sends the feed towards YouTube |
| Storage and instance extras | Volume size and selected add-ons | You attach storage, snapshots, monitoring or applicable IP resources |
| AWS media processing or delivery | Selected media services and their usage | AWS encodes, packages, originates or distributes the video |
| Viewer playback on YouTube | YouTube’s delivery of the broadcast | The stream goes directly to YouTube; this is not an EC2 viewer-delivery line |
AWS publishes example live-streaming architectures with assumed regions, audience sizes, bitrates and service choices. Such an example can help you understand which components might appear in an AWS-to-viewer system, but it cannot be quoted as the cost of YouTube ingest. Use the assumptions and services from your own architecture, and do not treat an AWS media stack as a mandatory step for a channel whose destination is YouTube.
Check pricing inputs before estimating
Build the estimate in a worksheet so another person can see where each line comes from. Record the region, instance type, OS, rate source, pricing model and hours. Put the source bitrate and monthly data-volume calculation beside the network route and transfer treatment. Add separate rows for storage, IP, snapshots, monitoring and media services only when they apply.
Then use the AWS Pricing Calculator for a tailored estimate, as AWS recommends. Check the date and assumptions when you save or share it: pricing can vary by region and configuration and may change. Do not present a total without noting whether taxes, discounts, account allowances or other services have been included. If someone changes the stream bitrate or moves the region, revisit the affected lines instead of carrying over the old total.
Compare instance options on more than rate. A candidate must have enough CPU capacity for the chosen encoding job, and a lower-cost instance that cannot keep up is not a useful saving. Compare actual runtime against any commitment, consider how quickly you can recover after a failure, and distinguish an always-running encoder from a service that can be stopped when not required.
Finally, test the full workflow: restart behaviour, output to YouTube, access to the stream key and the actual source settings. If managing a cloud machine, updates, restarts and overnight diagnosis is the part likely to be missed, StreamNeo removes that specific operational burden by letting you upload the file once and run the YouTube broadcast without leaving your own computer on. It is YouTube-only, so it does not replace an architecture intended to distribute video through AWS to other destinations.
Before committing, compare the operating options on the pricing page. When the file and channel are ready, start free — 24-hour trial, no card.
FAQ
How much does a 24/7 live stream cost?
There is no universal monthly total. For EC2, start with the selected instance rate multiplied by roughly 730 hours as a planning approximation, then add the transfer and other resources your setup actually uses. The region, OS, instance, bitrate and route all affect the estimate.
How much bandwidth does a 24/7 stream use?
Estimate source data as bitrate multiplied by runtime, divided by eight to convert bits to bytes. A constant 6 Mbps stream over 30 days is about 243,000 decimal GB before protocol overhead; use your own bitrate and operating period for a tailored figure. The amount billed depends on the outbound route and current AWS pricing treatment.
Does YouTube charge for live streaming?
Check YouTube’s current official guidance for account requirements and live-stream setup rather than assuming that an AWS bill represents a YouTube charge. In a direct-to-YouTube design, EC2 sends the source feed and YouTube distributes playback; those are separate sides of the workflow. AWS costs apply to the AWS resources and traffic you use.
Do I need MediaLive or CloudFront to send a stream to YouTube?
Not automatically. A basic source encoder can push a feed to YouTube without AWS also encoding or distributing playback to viewers. Consider AWS media and delivery services only when your design needs those functions, and estimate them separately.