If you are looking for Hetzner Cloud alternatives for a 24/7 YouTube stream, compare the bandwidth your stream can sustain, the outbound transfer included in a plan, its region and your recovery process. OVHcloud, DigitalOcean and Scaleway are candidates to examine, but no provider is a universal winner and this research does not establish comparable live-stream uptime results.
A VM that costs less on paper can become a poor fit when its transfer allowance is exceeded or when it cannot encode your video. Decide first whether you need a simple relay or real-time encoding, then check the exact plan terms and test the whole route to YouTube before you move a channel.
What a 24/7 stream needs from a host
A continuous stream depends on more than a running virtual machine. Your encoder must produce a steady output, the host must send it to YouTube at the required rate, the connection must remain usable, and the software must recover when a process or machine fails. A plan description rarely answers all of those questions by itself.
Start by separating two workloads. A pass-through relay sends an already encoded video onwards; a real-time transcoder decodes and encodes video, which can require substantially more CPU or specialised hardware. A pre-recorded playlist may be looped without re-encoding if its format and workflow allow it. Do not pay for a large CPU instance or a GPU until you know the job actually needs one.
YouTube’s live encoder settings recommend H.264 video bitrates of 14 Mbps for 1080p30 and 17 Mbps for 1080p60. These are recommendations for the encoder output, not evidence that a particular VM or network route can hold that rate continuously. Choose settings for your content and available source file, then leave operating headroom rather than treating the recommended rate as a safe ceiling.
The stream also has a destination-side requirement: a stable session to YouTube using the correct stream key and ingest settings. YouTube explains its RTMPS protocol as encrypted communication with its service. Follow current YouTube guidance for protocol and ingest configuration, and keep your stream key private. A host provider’s network specification cannot validate those channel settings for you.
Finally, define what “24/7” means operationally. Is a short interruption acceptable if a process restarts, or must a second, separately designed path take over? A single VM can fail at the application, operating-system, network or destination level. A VM availability commitment does not by itself provide application monitoring, automatic recovery or independent failover.
Compare sustained bandwidth and egress
Two different network figures matter. Public bandwidth, often stated as a port speed, is a throughput ceiling: it indicates the possible rate at a point in the network, subject to other conditions. Transfer allowance is a volume over a billing period. A plan can have ample monthly transfer but a port too slow for your workload, or a fast port whose included transfer is quickly consumed by a constant stream.
You can estimate the video payload before comparing plans. Multiply the bitrate in bits per second by the seconds in the month, then divide by eight to convert bits to bytes. At 14 Mbps for a 30-day month, the result is about 4.54 TB in decimal units, before protocol overhead, retransmissions or other traffic. This is an arithmetic estimate, not a measurement from a provider. Audio may already be included in the video stream’s total bitrate; avoid counting it twice, and check how the provider defines and meters transfer.
The difference between decimal TB and binary TiB, or decimal GB and binary GiB, can affect a close comparison. Providers may also count traffic in different directions or use a monthly period that does not match your own estimate. Add room for operational traffic, and read what happens if the allowance is exceeded: billing, throttling, a service restriction or another policy can change the real cost.
Do not interpret “unlimited traffic” as unlimited throughput or as proof that every use is acceptable under the provider’s terms. Check the stated public bandwidth, applicable fair-use or usage policy, and whether the advertised plan is currently available in your intended region. An advertised port speed also does not guarantee end-to-end throughput to YouTube. Routing, congestion and the destination path matter, so measure from the candidate instance during a trial.
| Comparison point | What to verify | Why it matters for a 24/7 stream |
|---|---|---|
| Sustained public bandwidth | Port speed, any traffic shaping, and measured route to YouTube | The encoder needs a steady path above its output rate, with room for variation |
| Included outbound transfer | Monthly allowance, units, metering direction and overage policy | Continuous output accumulates data for as long as it runs |
| CPU or GPU | Workload capacity for your codec, resolution and number of outputs | Relaying an encoded file is not the same job as transcoding it |
| Region and route | Available data centre locations and observed connection behaviour | A sensible source-to-host route is useful; viewers receive YouTube’s delivery |
| Recovery and support | What the service commitment covers, exclusions, alerting and claim process | A VM target is not a complete continuity plan |
| Total bill | VM, storage, IPs, backups, snapshots, transfer, support and taxes | Headline compute price can omit costs that matter to the channel |
For continuous output, the transfer calculation is often the point where a seemingly inexpensive plan stops looking inexpensive. Use your measured bitrate, not only a plan’s advertised compute size. For related context on stream formats and workflow choices, see YouTube settings for pre-recorded 1080p content.
Compare OVHcloud, DigitalOcean and Scaleway
Treat each provider as a candidate to investigate rather than a result in a ranking. Compare the same workload assumptions across them: identical stream bitrate, operating time, number of outputs, region, and whether the VM relays or transcodes. Check the currently offered plan page and contractual terms immediately before committing, since availability, prices and included transfer can change.
DigitalOcean’s live Droplet pricing page listed, when this research was accessed in 2026, a basic plan at $4 per month with 500 GiB transfer, 512 MiB RAM and one vCPU, and another at $6 per month with 1,000 GiB transfer, 1 GiB RAM and one vCPU. Those listed allowances are far below the approximate monthly payload for a continuous 14 Mbps stream, so the apparent low compute price is not a complete cost comparison. Confirm current prices, transfer treatment, region availability and whether the instance has enough resources for your actual process on DigitalOcean’s pricing page.
The numbers are useful as a transparent example of why egress belongs in the first comparison, not as a recommendation for a specific stream. A small basic Droplet may be appropriate for a lightweight test or a different workload, but it should not be assumed to suit every encoder. If the video needs real-time transcoding, measure CPU use under the exact settings and concurrent outputs you expect.
OVHcloud’s page displayed a VPS range labelled 2027 during research accessed in 2026. It showed VPS-1 at $4.54 per month, 500 Mbps public bandwidth and “unlimited traffic”. Because the page labels that range for 2027, do not treat those figures as a confirmed 2026 offer. Recheck the live page, region, offer date and terms at the time of purchase. The useful comparison lesson is that traffic volume and public bandwidth are separate specifications; neither the word “unlimited” nor the port figure establishes a tested route to YouTube.
Scaleway is another candidate to investigate, particularly if a European footprint or its available service types fit your operations. This research did not verify a current suitable plan’s price, transfer terms or service commitment directly on its own current documentation, so no plan figure or uptime claim belongs in a recommendation here. Check the relevant instance page and terms yourself, and compare the exact region and capacity rather than assuming that a general provider description applies to your chosen plan.
For any of these providers, a practical worksheet is more useful than a brand verdict. Record the monthly transfer estimate and the provider’s unit, port ceiling, region, instance CPU, any storage and backup charges, and the relevant service commitment. Then note what you will monitor and how the encoder will restart. Our guide to creating a seamless FFmpeg loop for YouTube Live may help if your channel uses a looping file, but the loop itself does not remove the need to plan network and process recovery.
When a hyperscaler may be worth considering
AWS, Microsoft Azure, Google Cloud, Oracle Cloud, IBM Cloud and Alibaba Cloud are names to consider when you need a wider set of regions, managed components, specialised compute or an existing organisational relationship. That breadth can be useful when your stream is part of a larger system, or when a team already has the skills and billing controls to manage multiple services.
The trade-off is a cost model that may involve several components rather than one simple VM figure. Compute time, outbound data, storage, reserved addresses, monitoring, support and any managed service can each appear separately. A rate calculator is only as useful as the assumptions you enter: estimate monthly output, identify the destination region and include the services the stream actually needs. Do not assume that a hyperscaler is automatically more reliable for your specific stream simply because it offers more products.
Managed services can reduce some operational work, but they do not necessarily remove the need to configure the encoder, protect stream credentials, inspect logs or design failover. Read the scope of each service and its service-level agreement. Check which component the commitment covers, its exclusions, what evidence a claim requires, and whether compensation is a credit rather than uninterrupted service.
If you only need one fixed file sent to YouTube and have no need for a broader cloud system, compare the operational burden honestly. A simpler VM may be easier to understand; a managed system may be worthwhile if it removes work your team cannot reliably carry. Neither conclusion can be drawn from headline price alone, and neither is a claim about comparative streaming performance.
Match region and CPU to the stream
Choose a region for the route between your source material, the host and YouTube’s ingest, as well as for how you will administer the service. If you are in India, a geographically convenient location may be a sensible place to test, but do not assume that locating a relay near viewers improves their playback. YouTube delivers the live video to viewers; the relay’s job is to get the encoded stream into YouTube reliably.
Measure the route during a test at the bitrate and settings you will use. Watch for sustained upload capacity, interruptions and whether the destination remains connected. A short speed test is not the same as a full-duration trial, and one successful run does not establish a provider-wide result. Repeat the test at a representative time if you can, and keep a record of the instance type, region and observed settings so that you are comparing like with like.
For CPU, first identify where encoding happens. If a local computer produces the final H.264 stream and the cloud host only forwards it, the compute demand differs from encoding multiple resolutions in real time. If your cloud VM must decode, resize, overlay graphics and encode, test the complete chain rather than relying on core counts alone. Resolution, frame rate, codec, presets and concurrent outputs all affect the workload.
An always-on devotional channel looping a finished video may have a different CPU profile from a local news channel adding graphics to changing footage. A study stream might only need a fixed visual and audio bed, while a business stream could produce multiple simultaneous outputs. For a pre-recorded loop, the diya and rain ambience workflow is a relevant example of the content side; it is still necessary to check the host’s actual network and recovery behaviour.
Plan for interruptions, not only provider targets
Service commitments are worth reading, but keep their scope precise. Hetzner’s Cloud and vServer Service Agreement states a 99.9% monthly availability target for each individual Cloud Server, qualified by “commercially reasonable efforts”. Its agreement lists exclusions and provides for prorated service credits subject to a request deadline. That is a contractual target with conditions, not a promise that a YouTube stream will never drop or that the entire application is continuously available. Consult the current Hetzner agreement for its full wording and terms.
A live stream can be interrupted even while a VM remains available: the encoder process may stop, a file may reach its end, the stream key may be wrong, the network path may fail, or YouTube may reject the ingest. Conversely, a VM outage is not necessarily resolved by restarting the same instance if its storage or configuration is damaged. Treat host availability and stream continuity as separate engineering questions.
At minimum, arrange a way to notice a drop, an automatic or documented restart, and a known-good copy of the file and configuration. Test how long detection and restart take, and decide whether that interruption is acceptable for the audience. If the channel genuinely requires independent failover, design and test a second path that does not depend on the same single failure point. A second VM is not failover merely because it exists; it needs a prepared encoder, a way to take over, and clear ownership of the stream session.
For many small channels, the hard part is not choosing an instance but keeping a process alive without leaving a personal computer running all night. StreamNeo addresses that specific burden by taking an uploaded video and running the YouTube broadcast with your computer switched off, including monitoring and automatic restart if it drops. It is YouTube-only, and it does not remove the need to confirm that your content, channel and stream settings are ready.
Run a trial and verify total costs
Before switching a channel that already has an audience, test the candidate with the actual file, stream settings and intended run time. Start with a private or otherwise appropriate test event, and confirm the selected output reaches YouTube, the stream remains stable, and your monitoring notices a deliberate interruption. Avoid testing only an idle VM or a short file if the real use is a continuous loop.
Keep a simple test log: provider and plan, region, operating system, encoder version, bitrate, CPU load if encoding, transfer counters, start and stop times, and any reconnects. This is not a benchmark that can rank providers for everyone. It is evidence about your own configuration and route, useful when you change one factor at a time or need to investigate a failure.
Read the bill before the production move. Include compute, storage for the source file, backups or snapshots, IP charges, outbound transfer and taxes where applicable. Establish how usage is reported and when overage charges apply. Provider calculators and pricing pages can change, so note the date you checked them and revisit the numbers before scaling up or adding a second output.
Make a recovery checklist while the test is running. Store the stream key securely, document the restart steps, keep a clean copy of the source video, and confirm how you will regain access if the VM becomes unreachable. If you have a scheduled broadcast, verify that the event and encoder settings agree. For a content workflow that depends on a key remaining active, see how to keep a YouTube podcast stream key active.
Use the trial to answer concrete questions: does the host sustain your chosen output rate, does monthly transfer fit the budget, can you recover in an acceptable time, and can someone on your team perform the steps? Do not infer future uptime from a successful test window. It narrows uncertainty for your setup; it does not prove every failure mode has been covered.
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
Is Hetzner still suitable for a 24/7 YouTube stream?
It can be a candidate if the selected plan, route, transfer terms and compute fit your workload. Check current terms and test your own stream; a service commitment for a Cloud Server does not guarantee uninterrupted YouTube output.
Is OVHcloud’s “unlimited traffic” enough to choose it?
No. Check the applicable usage terms and public bandwidth separately, and confirm that the plan is available in the region you need. The research saw a VPS range labelled 2027, so recheck the current offer rather than treating those figures as a confirmed 2026 plan.
How much transfer does a continuous stream need?
It depends on the total encoded bitrate and the provider’s metering rules. As an estimate, 14 Mbps for 30 days is about 4.54 TB of decimal video payload before overhead; compare units carefully and leave room for other traffic.
Does a higher VM availability target prevent stream drops?
No. The target may apply only to a particular VM and may have exclusions and a claim process. The encoder, network route and YouTube ingest can fail separately, so monitoring and tested recovery remain necessary.