For a continuous YouTube stream running from EC2, estimate outbound payload by multiplying the encoder’s actual output bitrate by the time it runs. That gives a useful volume estimate, not an exact AWS bill: capacity, billing definitions, other traffic and account terms are separate questions.
The calculation is transparent once you know the output rate and runtime. This guide uses decimal GB unless it explicitly says GiB, labels any added margin as an allowance rather than a measured fact, and shows how to validate the estimate against real usage.
Find the encoder’s actual output bitrate
Start with the bitrate the encoder is configured to send, not a broad quality label such as “1080p”. Resolution and frame rate help you choose settings, but different codecs and encoder configurations can produce different rates. If the encoder reports audio and video bitrates separately, use their combined output rate.
YouTube’s live encoder settings guidance recommends H.264 video at 14 Mbps for 1080p at 30 frames per second and 17 Mbps for 1080p at 60 frames per second. Treat those as published recommendations for those settings, not as a measurement of your stream’s average network use or a requirement that every channel should use them. Check the actual encoder configuration and, after the stream starts, inspect the network traffic it produces.
For a constant-bitrate configuration, the configured bitrate is a practical starting input. With variable bitrate, a configured maximum or a brief peak can overstate a full month’s volume. Use an average bitrate over a representative period, or measured byte totals over time, where available.
There is also a useful boundary to keep clear: the broadcaster sends its ingest stream to YouTube. YouTube says it automatically transcodes a live stream into multiple output formats for viewers. The outbound volume from your EC2 instance is therefore not the sum of every viewer’s playback rendition; it is the traffic sent from your instance to YouTube, along with any other instance traffic.
If you are still setting up the loop itself, the practical steps in OBS settings for streaming pre-recorded videos all day can help you identify which encoder output value to use. For a channel that plays recorded devotional material, the guide to keeping a Kannada devotional stream live without a PC is relevant to the operating model, although this calculation applies whether the sender is a local computer or a cloud instance.
Use bitrate multiplied by duration
A megabit is one eighth of a megabyte. To estimate decimal gigabytes, convert megabits to megabytes by dividing by eight, then convert megabytes to gigabytes by dividing by 1,000. With bitrate in megabits per second and runtime in seconds, the combined expression is:
decimal GB ≈ bitrate in Mbps × seconds ÷ 8,000
This estimates payload volume at a steady rate. It does not add transport overhead, retries, unrelated traffic or downtime. It does not model every second of a variable-bitrate stream. Those factors can be considered separately after the base arithmetic, rather than being hidden inside the formula.
For a 24-hour day, runtime is 86,400 seconds. At 1 Mbps, the calculation is 1 × 86,400 ÷ 8,000, or 10.8 decimal GB. At a steady 6 Mbps, it is six times that daily volume. This linear relationship makes it easy to see the effect of changing either bitrate or runtime: halve the bitrate or run time and the base payload estimate halves.
A spreadsheet can make repeated scenarios easier. Put the bitrate in Mbps in one cell and the number of runtime seconds in another, then divide their product by 8,000. Keep the result labelled “decimal GB payload” so it is not mistaken for a billed transfer amount or a GiB figure.
Keep GB and GiB distinct
Decimal GB and binary GiB are different units. One decimal GB is 1,000,000,000 bytes; one binary GiB is 1,073,741,824 bytes. A value in GiB will be lower than the same byte quantity expressed in GB, so a spreadsheet or dashboard can appear to disagree even when both are describing the same traffic.
The formula above produces decimal GB because its divisor includes 1,000 bytes per kilobyte and 1,000 kilobytes per megabyte in the decimal convention. To convert its result to GiB, convert the decimal GB back to bytes and divide by the number of bytes in a GiB:
GiB ≈ decimal GB × 1,000,000,000 ÷ 1,073,741,824
When comparing the estimate with a monitoring or billing display, note the unit shown by that display instead of assuming that every “GB” label means the same byte count. AWS’s pricing and metering definitions govern its charges; the unit conversion here is only a clear way to describe the underlying payload estimate. Keep a working sheet consistent by stating the unit beside every result and recording whether the source display presents GB, GiB, bytes or another measure.
Work through a 24-hour example
Suppose your encoder sends a constant 6 Mbps output for an uninterrupted 24-hour day. The base payload estimate is 6 × 86,400 ÷ 8,000, or 64.8 decimal GB. This is a calculation from the stated rate and duration, not an AWS usage reading.
| Output bitrate | Runtime | Estimated payload, decimal GB |
|---|---|---|
| 1 Mbps | 24 hours | 10.8 GB |
| 6 Mbps | 24 hours | 64.8 GB |
| 14 Mbps | 24 hours | 151.2 GB |
The 14 Mbps row is included as an arithmetic example at a rate YouTube recommends for one particular H.264 configuration, not as a universal setting. Your own rate should come from your encoder. The table assumes a steady output for the full day, with no planned interruption, and excludes allowances and other traffic.
If a live channel is not truly continuous, replace the full-day runtime with the time it actually transmits. For example, a schedule that deliberately pauses overnight should use the total transmitting seconds, not 86,400 for every calendar day. Conversely, accidental disconnects do not always mean zero traffic: reconnect attempts and stream restarts can generate some additional use. Do not assign an invented amount to that activity; check measured traffic after operating the setup.
Scale the estimate to a month
A 30-day month contains 2,592,000 seconds. At 1 Mbps continuously, the base calculation is 1 × 2,592,000 ÷ 8,000, or 324 decimal GB. Multiply that result by your Mbps rate: a steady 6 Mbps stream gives an estimated 1,944 decimal GB, or 1.944 decimal TB, before any allowance or other instance traffic.
| Output bitrate | 30 days, continuous | Estimated payload, decimal GB |
|---|---|---|
| 1 Mbps | 2,592,000 seconds | 324 GB |
| 6 Mbps | 2,592,000 seconds | 1,944 GB (1.944 TB) |
| 14 Mbps | 2,592,000 seconds | 4,536 GB (4.536 TB) |
A 31-day month uses 2,678,400 seconds. At the same rate, its estimate is higher in direct proportion to runtime. If you have planned downtime, subtract it from the transmitting time; if bitrate varies materially, use an average over time or actual byte measurements instead of multiplying a peak rate by the whole month.
These are payload volumes in decimal units. They are useful for comparing one bitrate or schedule with another and for creating an initial expectation to check. They are not a promise that an AWS billing report will show precisely the same quantity: its scope, usage definitions, eligible allowances and other traffic all matter.
Add allowances without disguising assumptions
The base formula is deliberately narrow. If you want a planning figure with headroom, write the allowance separately and explain what it is intended to cover. Possible contributors include transport overhead, bitrate variability, reconnects and unrelated traffic from the instance. The research here does not establish a universal percentage for any of them, so do not present a chosen percentage as an AWS rule or a measured property of every stream.
A transparent estimate can be shown as two lines:
- Base stream payload: bitrate multiplied by transmitting seconds, converted to decimal GB.
- Planning allowance: an explicitly chosen buffer for named uncertainties or other traffic, identified as an assumption to validate.
If you use a percentage as a working allowance, state the percentage and the reason for choosing it, and show the unadjusted payload next to the adjusted planning figure. If you do not have evidence for a particular buffer, leave it out rather than implying precision. A range can be more honest where your measured traffic varies, provided its bounds come from observations or clearly stated scenarios rather than guesswork.
After the stream has been running, compare the estimate with AWS measurements over the same period. AWS documents the EC2 CloudWatch NetworkOut metric as outbound traffic from an instance. AWS also distinguishes it from DataTransfer-Out-Bytes, which is used in Cost Explorer cost reporting. They answer related but different questions; adding NetworkOut values should not be described as a guaranteed reconstruction of a bill.
For a sustained channel, compare more than a month-end total. Look at stream health and network performance during operation, since a monthly volume can look plausible even if a connection occasionally has trouble. YouTube recommends testing with audio and movement similar to the event and monitoring stream health. Its encoder guidance also discusses constant bitrate and keyframe intervals; those settings support a stable ingest but do not replace measuring actual traffic.
Separate payload, network capacity and cost
“Bandwidth” can mean at least three different things in a cost or setup discussion. Payload volume asks how many bytes leave over time. Network capacity asks whether the selected EC2 instance can sustain the required sending rate. Cost asks how AWS meters that traffic and which current prices and account terms apply. A sound decision checks all three separately.
For capacity, check the network characteristics of the exact instance type and region you plan to run. AWS explains that some smaller EC2 types are described with “up to” network bandwidth and can use network I/O credits to burst above baseline; bursting is best effort, and available burst time depends on the instance. A continuously running stream needs sustained capacity, so a nominal “up to” value by itself does not prove that a type can carry the stream reliably.
Also consider whether the applicable network-flow limits suit your connection. AWS documents that bandwidth can depend on instance type, vCPU count, destination and traffic-flow characteristics, and that single-flow behaviour may differ from aggregate multi-flow capacity. A video ingest connection may be a single flow. Check the documentation for the type and configuration you select rather than assuming the headline network label tells the whole story. If you encode on the instance, include the CPU capacity required by that encoding workload as well.
For cost, consult the current AWS EC2 data transfer pricing page for the relevant region, then check your account’s applicable pricing terms and any eligible allowance. Prices and eligibility can vary by region and account, and pricing pages can change. Keep compute charges and charges for other services separate from internet data transfer out. This article does not apply a region-specific transfer rate to the payload examples, and the formula alone cannot provide an exact bill.
If your estimate is being used to compare an EC2-based setup with a managed workflow, keep the question focused on the work you want to operate. For a channel that cannot depend on a computer being on all night, StreamNeo removes that specific burden by letting you upload a video and run the YouTube broadcast with your computer switched off; it does not supply EC2 bandwidth or guarantee a bandwidth or cost outcome. Readers still choosing the channel’s loop can use the Malayalam 24/7 live-stream setup guide to think through the source material and channel workflow.
Validate against the running stream
Before relying on a monthly estimate, record the assumptions that produced it: encoder bitrate, whether audio is included, runtime, unit convention and whether the stream is constant or variable bitrate. Preserve the unadjusted payload result. If you add an allowance, record it separately with its rationale so you can later see whether it was useful or excessive.
Once the stream is active, review outbound traffic and stream health across representative periods, then compare usage over the same dates with the billing view. Make sure the comparison covers the same instance and time window. CloudWatch NetworkOut helps inspect traffic at the instance, whereas billing reports can group or define transfer usage differently. Neither should be presented as a one-step substitute for the other.
For a 24/7 broadcast, a monthly total is not enough to assess operational suitability. A stream could send approximately the expected number of bytes while suffering short interruptions, or an instance could handle average traffic but lack sustained headroom for the chosen workload. Review relevant network performance metrics and the stream’s health during operation, then revisit the selected instance if observations do not match the requirements.
If files are stored or moved across regions as part of the workflow, count those transfers separately from the live ingest estimate. The guide to moving video files between cloud server regions covers that distinct concern. Keep one row for the stream payload and separate rows for file movement, other instance traffic, compute and any other relevant services; that makes later reconciliation easier.
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 data does a 24/7 YouTube stream use per month?
It depends on the actual output bitrate. At a constant 1 Mbps for a 30-day month, the base estimate is about 324 decimal GB; multiply that by your bitrate in Mbps for another steady-rate scenario. This is payload only, before allowances and other traffic.
Is the bitrate the same as AWS bandwidth capacity?
No. Bitrate is the sending rate used to estimate volume over time, while instance network capacity describes whether the EC2 type can sustain that rate. Check baseline networking and applicable flow limits for the instance, rather than relying only on an “up to” figure.
Does this calculation give my exact EC2 bill?
No. It estimates stream payload from bitrate and runtime, not AWS’s complete billed transfer amount. Use current regional pricing and account terms, and reconcile observed traffic with billing usage; compute and other services are separate costs.
Should I use GB or GiB in my estimate?
Either can describe the byte quantity, but they are not interchangeable: decimal GB is 1,000,000,000 bytes and binary GiB is 1,073,741,824 bytes. Label the unit and match it to the unit used by the AWS display you are comparing against.