For one continuous feed sent from a virtual server to YouTube, DigitalOcean and AWS Lightsail both offer low-cost entry plans, but their listed CPU, memory and transfer allowances differ. Choose only after you know whether the server will simply relay a prepared feed or encode and compose video, and whether it will also distribute video to viewers.
A plan’s published specifications are a starting point, not proof that two servers will perform equally or that the cheapest plan will sustain your stream. The monthly transfer estimate for a single YouTube feed is also very different from the traffic generated by serving that video to an audience.
Define the work the server must do
A 24/7 YouTube channel may have a computer playing a prepared video, a process that combines files into a playlist, or an encoder that turns video and audio into a live stream. A virtual private server (VPS) can perform some or all of those tasks, then send a continuous feed to YouTube. These are distinct workloads: relaying an already encoded feed generally asks less of the CPU than encoding or compositing video on the server.
Start by mapping the path of the video. If a desktop or another system creates the final stream and the VPS only forwards it, the VPS is a relay. If the VPS reads files, assembles scenes, changes resolution or frame rate, or encodes with software such as FFmpeg, it is doing more compute work. A loop of devotional video and bhajans might be a simple relay if it is prepared elsewhere; a channel that mixes a live camera, titles, and recorded clips on the VPS is not.
Write down the actual output resolution, frame rate, codec and bitrate before comparing plans. YouTube’s live encoder settings guidance is the place to check current requirements and recommendations. Requirements can vary with the chosen output, so do not infer a safe bitrate from the VPS plan or from somebody else’s stream.
Also decide whether the VPS sends one feed to YouTube only. In that arrangement, YouTube handles delivery to its viewers, and your server’s outbound traffic is largely the single feed plus protocol overhead and any reconnects. If the same server is also expected to serve video directly to viewers, that is a second workload with a different transfer calculation. The distinction matters more than the audience size when estimating a YouTube-only encoder feed.
Compare the published entry plans
The table compares useful entry examples in the providers’ published plan catalogues. Prices and specifications below are page observations from 3 October 2026; treat them as snapshots, not a promise that the offers will remain unchanged. DigitalOcean’s listed transfer uses GiB, while Lightsail commonly describes plan transfer in TB or GB. Those units are not identical, so avoid reading the rounded allowances as exact equivalents.
| Provider and example plan | Listed monthly price | CPU and memory | Included transfer | What to notice |
|---|---|---|---|---|
| DigitalOcean Basic Droplet | $6/month | 1 vCPU, 1 GiB RAM | 1,000 GiB | One vCPU and a team-pooled allowance |
| Amazon Lightsail Linux/Unix, public IPv4 | $7/month | 2 vCPUs, 1 GB RAM | 2 TB | Two listed vCPUs; allowance varies by region |
| DigitalOcean Basic Droplet, larger example | $24/month | 2 vCPUs, 4 GiB RAM | 4,000 GiB | More memory and transfer than the smaller example |
| Amazon Lightsail Linux/Unix, larger example | $24/month | 2 vCPUs, 4 GB RAM | 4 TB | Similar headline CPU and memory, but plan definitions differ |
DigitalOcean lists its Basic Droplets from $4/month, but the $6 example is useful for comparison because its listed memory and transfer are closer to the Lightsail $7 example. AWS lists a $5 Lightsail Linux/Unix plan as well, with 0.5 GB RAM, 2 vCPUs, 20 GB SSD and 1 TB transfer. The smaller memory allocation may be a constraint for an encoder; the listed CPU count alone cannot settle whether it is suitable.
The provider pages describe their products and bundles in their own terms. Check DigitalOcean Droplet pricing and Amazon Lightsail pricing for the plan that is actually available to you. The cited prices are as listed on the respective providers’ sites in October 2026; plan menus, regional availability and prices can change.
There is no clean conclusion such as “two vCPUs beats one” based on this table. Virtual CPU labels do not establish identical processor generations, sustained capacity, or performance under a specific encoder. Nor does the slightly lower listed DigitalOcean price by itself establish the lower overall cost: transfer allowance, region, additional transfer charges, and the amount of memory or compute the stream needs all belong in the decision.
A separate DigitalOcean example at $24/month and the Lightsail $24/month plan both list 4 GB-class memory and two vCPUs, but even these headline similarities do not prove equivalent performance. Storage type, CPU allocation details, workload behaviour and regional conditions can differ. Treat the specifications as plan facts to evaluate, not a head-to-head benchmark.
Match CPU and memory to the encoder
CPU matters when the VPS must encode. Encoding is the work of compressing the picture and sound into the outgoing stream format; higher output demands, software encoding choices, filters and simultaneous tasks can increase that work. A process that merely forwards a prepared stream has a different compute profile. Do not buy a larger plan simply because the channel runs all day, but do not assume a small plan is enough just because it is a single stream.
Memory is the working space for the operating system and the programs running on it. An encoder, playlist process, monitoring tools and any desktop environment all consume some of it. If the server runs short of memory, the system may slow down or processes may fail. More RAM gives room for those components, but it does not itself provide the CPU capacity needed to encode at a given setting.
AWS describes Lightsail compute-optimised bundles as suitable for compute-intensive work including video encoding. DigitalOcean lists CPU-optimised Droplets for uses including media streaming. These are provider descriptions of workload fit, not proof that a particular instance will encode a particular resolution and frame rate continuously. For a technically demanding channel, test the intended software and settings on the candidate configuration before making it the only source of a production stream.
If you are configuring a file-based channel, settle the playlist and output process first. The guide to using a YouTube stream key for a prerecorded broadcast covers the hand-off from encoder to YouTube. A stream key identifies where the encoder sends the feed; it does not reduce the encoder’s processing demand or increase the server’s transfer allowance.
A practical selection process is to start with the actual software and its settings, then observe CPU and memory under the expected workload. Check both ordinary scenes and the heaviest part of the loop: fast-moving footage, audio processing, overlays or a scene transition can create a different load from a still devotional image. If the server is only relaying a feed, use a small trial workload to verify that the relay and reconnect behaviour are sound rather than paying for encoding headroom you do not use. If encoding takes place on the VPS, leave room for the operating system and other processes instead of planning to keep every resource fully occupied.
Estimate outbound transfer before choosing
For a single feed to YouTube, estimate data from the configured bitrate and hours of operation. As a rough planning method, convert the bitrate to bytes per second by dividing bits per second by eight, then multiply by the number of streaming seconds in the billing period. Add some room for protocol overhead and reconnects; a redundant second feed or a second destination must be counted separately. This gives a planning estimate, not an exact bill.
For example, do not start with the plan’s allowance and declare the stream safe. First take the bitrate that matches your YouTube output settings, calculate the volume for continuous operation, and compare that result with the allowance and billing rules. Use a consistent unit in the calculation. A decimal GB and a binary GiB are close in everyday conversation but are not the same quantity, and provider pages can use different units.
The DigitalOcean allowance is pooled across Droplets on a team, rather than isolated for each server. DigitalOcean says included outbound transfer begins at 500 GiB per month depending on the Droplet plan, inbound traffic is free, unused allowance does not roll over, and extra outbound transfer is billed at $0.01/GiB. As listed on DigitalOcean’s site in October 2026, these rules make team-wide use relevant: another Droplet can use part of the shared pool, while a quiet month does not bank unused capacity for later.
Lightsail counts both inbound and outbound traffic towards its plan allowance, but AWS says it charges only for excess outbound transfer to the internet and certain other public-IP routes; excess inbound is not charged. Its US-region example excess outbound rate is $0.09/GB, as listed on AWS’s site in October 2026. Rates vary by region, and AWS says some Asia Pacific regions and São Paulo receive half the listed transfer allowance. Check the current Lightsail data transfer allowance documentation for the specific location and billing details.
Those rules affect a long-running stream differently. A one-way feed usually has much more outbound than inbound data, so Lightsail’s inclusion of both directions may not be a major practical distinction for that specific path. But the regional allowance and excess-outbound rate can matter if the bitrate-derived estimate is near or above the allowance. DigitalOcean’s pooled model can help if other team Droplets have unused transfer, but the pool can also be consumed by their traffic.
Do the estimate for a full billing period at the planned bitrate rather than multiplying a short test and assuming it covers every day. Include the possibility of a reconnect, temporary parallel feed during a migration, or a second destination if your design uses one. Check the provider’s current price page and transfer documentation before provisioning, because a plan allowance and an overage rate are commercial terms that can change.
Keep YouTube ingest separate from viewer delivery
When a VPS sends one live stream to YouTube, the server is the source of a feed, not the delivery network for every viewer. The server generally sends one encoded stream upstream regardless of whether a small or large audience watches on YouTube. That does not mean the audience has no effect on your overall channel, but it means you should not multiply the VPS’s feed bitrate by YouTube viewership when estimating that single upstream transfer.
The calculation changes if the VPS also hosts the video or distributes copies directly. Serving a separate stream to each viewer can make outbound volume grow with the number of viewers and their viewing time. A plan’s included transfer, even when it looks generous for a single feed, should not be treated as audience capacity. You would need to model viewer count, delivered bitrate, viewing duration, caching and the delivery service’s billing rules.
AWS explicitly says Lightsail CDN distributions are not intended for large video-streaming workloads and recommends CloudFront for that class of use. That is AWS’s own product guidance, not an independent comparison of content delivery networks. If you need direct-to-viewer delivery, examine a suitable distribution design separately from the VPS that creates or sends the YouTube feed.
A local news loop illustrates the difference. If a server streams the newsroom’s output only to YouTube, the VPS transfer estimate is based on that single feed. If the same server also serves archived clips to viewers from its own site, that archive traffic is additional and can dominate the transfer bill. Keep the two paths on a simple diagram so that you can assign each traffic flow to the right provider and cost model.
This is also where a channel plan can go wrong operationally: a VPS selected for an encoder is not automatically a good web host or video origin. The comparison of Owncast and OBS for a 24/7 YouTube bhajan channel helps distinguish the streaming application from YouTube as the destination. Likewise, resolve any YouTube stream that remains stuck on connecting as an ingest or configuration problem before concluding that more viewer-delivery capacity is needed.
Choose by region and actual workload
Region affects latency between your server and YouTube’s ingest, as well as the transfer allowance or excess rate available on a plan. A server closer to the source files or operator may make administration convenient; a region with a practical route to YouTube ingest may also matter. Do not choose solely by geography on a map: test the actual connection and confirm that the provider offers the plan and allowance you expect in that region.
For an India-based channel, check the precise Lightsail region rather than relying on the headline allowance. AWS notes that several Asia Pacific regions have half the listed transfer allowance. That may change the transfer comparison even when the displayed plan is otherwise the same. DigitalOcean’s selected Droplet plan and transfer pool also need to be checked against the account and region you will actually use.
A small relay and a server-side encoder should not share an assumed minimum specification. For a relay, prioritise a stable feed path, enough memory for the relay process and operating system, and a transfer allowance that comfortably covers the measured feed. For server-side encoding, test the intended resolution, frame rate, codec and software under sustained load; select enough CPU and memory based on that evidence. Both approaches require monitoring and a recovery plan, and neither plan table nor provider marketing statement guarantees a stream will never drop.
Budget for continuous provisioning. A server that is powered off may still incur charges until it is deleted, according to both providers’ billing guidance. If you run a short test and then stop, check the console and billing terms rather than assuming “off” means the monthly cost has ended. For an always-on channel, calculate a full recurring month and include transfer overage exposure as well as the instance price.
If your main aim is to avoid maintaining an encoder computer and its overnight recovery, an uploaded-file-to-YouTube workflow can remove that particular operational task: StreamNeo takes an uploaded video and runs it as a continuous YouTube stream, so your own computer need not stay on. That is a different operating choice from renting a VPS and configuring it yourself; it is YouTube-only, so it does not solve a separate requirement to distribute video directly to viewers.
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
Which is cheaper for a 24/7 YouTube stream?
The cited entry examples are $6/month for the DigitalOcean Basic Droplet and $7/month for the Lightsail Linux/Unix public IPv4 plan, as listed on their respective sites in October 2026. Price alone does not establish the lower total cost: compare CPU and memory needs, regional transfer allowance, pooled usage, and possible outbound overage. Recheck the live pricing pages before provisioning.
How much bandwidth does one 24/7 YouTube feed use?
It depends mainly on the feed’s configured bitrate and the time it runs, with some additional data for protocol overhead and reconnects. Use the settings appropriate to your resolution and frame rate from YouTube’s current encoder guidance, then calculate a full billing period. Do not multiply this one-feed estimate by YouTube’s viewer count.
Can I run a YouTube live stream from a VPS?
Yes, a VPS can run an encoder or relay and send its output to YouTube using a stream key, provided the selected plan can sustain the actual workload and network path. Test the exact software and output settings: published vCPU and RAM figures are not performance benchmarks. The VPS must remain provisioned for continuous operation, and you should plan how to detect and recover from a dropped process.
Do Lightsail or DigitalOcean transfer allowances cover viewers watching the YouTube stream?
For a feed sent to YouTube, the VPS allowance covers the server’s transfer, not YouTube’s distribution to its audience. If your VPS also serves video directly to viewers, that is separate outbound traffic and needs its own estimate and delivery design. AWS advises that Lightsail CDN is not intended for large video-streaming workloads.