For a nonstop YouTube stream from India, Hetzner Cloud and AWS Lightsail should be compared on region, traffic billing and how well a chosen instance sustains your encoder. Lightsail has a documented Mumbai region; Hetzner lists Singapore but not India in its location documentation. Neither fact proves which route to YouTube ingest will be steadier for your viewers or your stream.
There is no matched current Hetzner price or India-network end-to-end benchmark established here. Treat Mumbai and Singapore as candidates to test, not a provider verdict: calculate your upload volume, check the exact plan terms, then run a sustained stream from the network you intend to use.
What matters for a nonstop YouTube stream
A 24/7 stream is a continuous upload from the encoder to YouTube. Your audience watches YouTube’s delivery of that stream; it does not receive a separate copy directly from your VPS. So estimate the server’s outbound stream traffic from its bitrate and the hours it runs, rather than multiplying that traffic by the number of viewers.
The server also needs enough headroom to produce the stream if it is encoding video, and a reliable way to reconnect if the feed drops. A small business looping a finished video may need less processing than a channel applying live scenes, filters or overlays. In both cases, a server that starts successfully is not yet proven suitable for an overnight broadcast.
Separate the decision into four checks:
| Check | What to establish before committing |
|---|---|
| Region | Which location you can select, and how its route performs from the Indian network you will actually use |
| Transfer | How the provider counts inbound and outbound data, the included allowance and any excess charge |
| Workload | Whether the instance can sustain your encoder settings with CPU and memory headroom |
| Recovery | Whether you can see stream health, identify a drop and reconnect without losing control of the broadcast |
These checks also help you compare a cloud VPS fairly with other approaches. If you are still deciding whether to operate the encoder yourself or use a hosted option, this overview of always-on YouTube streaming services can help frame that separate decision. A hosted video-to-live workflow may remove the need to keep your own computer on, but it does not make provider-region or stream-health questions irrelevant to a VPS comparison.
Compare available locations for an India audience
Hetzner’s Cloud location documentation lists Singapore as a Cloud location, along with locations in Europe and the United States. It does not list an India location. AWS Lightsail documents Mumbai as an available region in its pricing material. For an India-based audience, Mumbai and Singapore are sensible options to put on a test shortlist.
A nearby map pin is not a route measurement. The path from your Indian ISP to the VPS, and from that VPS to YouTube’s selected ingest point, can vary. Congestion, peering and routing changes may matter more than the distance between city names. The research available for this comparison does not establish latency, packet loss or uninterrupted performance from Indian networks for either candidate.
Choose the region based on a test from the place and connection that matter. If you will manage a devotional channel from a home broadband connection in Bengaluru, test from that connection; if your operator and stream originate from an office network in Delhi, test there instead. Record which region and provider you used, and repeat the same test for each candidate. Do not infer that a result from one ISP applies to another.
A test should send a private or unlisted stream to YouTube and remain running long enough to expose ordinary interruptions, rather than only confirming that the encoder connects. Check YouTube Live Control Room for stream health, dropped frames and warnings. Note any disconnect and whether the encoder recovers without manual intervention. You can also compare the route at different times, but record what you observed instead of turning one short session into a general claim about a region.
For a guide to one common failure on Indian connections, see how to troubleshoot a stream that disconnects while switching between mobile hotspot and broadband. That kind of local-network problem is distinct from a cloud-region choice, but the distinction matters when you interpret a failed test.
Compare transfer allowances and billing
Lightsail bundles compute, storage and a data-transfer allowance into its instance plans. As listed on AWS’s site in September 2026, its Linux/Unix public IPv4 entry plan is $5 USD per month and shows 0.5 GB memory, 2 vCPUs, 20 GB SSD and 1 TB of transfer before regional adjustment. The same pricing page lists a $24 USD per month bundle with 4 GB memory, 2 vCPUs, 80 GB SSD and 4 TB listed transfer before adjustment. These are examples of listed bundles, not recommendations for every encoder workload.
AWS states that Mumbai plans include half the standard displayed data allowance. Its transfer FAQ explains that both inbound and outbound data count towards the allowance, while only outbound traffic above the allowance is charged. As listed in AWS’s documentation in September 2026, the India outbound excess rate is $0.13 USD per GB. Check the current page and the precise plan before purchase: provider pages can change, and the allowance shown before regional adjustment is not the amount to assume for Mumbai.
For Hetzner, the location documentation confirms Singapore as a location but does not settle the exact current included traffic and overage for the particular server you might choose there. The retrieved source also does not establish a matched current Hetzner server price for this comparison. Look up the selected server’s current price and traffic terms directly, and include any charges relevant to your configuration. Do not compare a guessed Hetzner allowance with a quoted Lightsail bundle.
An always-on stream can use a material amount of outbound data even though the audience is served by YouTube. For a constant bitrate, multiply bits per second by total stream seconds, then divide by eight to estimate bytes. Use the sum of video and audio bitrates for a more complete estimate, and allow for protocol overhead and other traffic. The provider’s accounting rules determine what becomes billable; the arithmetic alone does not.
A VPS that receives control traffic or uploads source files will also have inbound usage, though the live feed itself is mainly outbound from the encoder to YouTube. For Lightsail, inbound usage still counts against the bundle, even though AWS documents excess billing only for outbound traffic. This is why an allowance should not be read as a purely outbound quota without checking the terms.
Match the server to the encoder workload
First decide whether the VPS will encode the video or relay an already encoded stream. Software encoding uses CPU continuously; the required capacity depends on resolution, frame rate, codec, preset and any scene composition. Relaying a pre-encoded feed has a different workload, but still needs enough resources for the software and a stable upload path. Memory also matters if your workflow includes source files, browser-based overlays or multiple processes.
YouTube’s encoder settings guidance recommends RTMPS and gives codec-specific bitrate settings. For H.264 at 1080p and 30 frames per second, the recommended bitrate is 10 Mbps. The same guidance recommends a two-second keyframe frequency, with a maximum of four seconds. Use the current YouTube guidance for your chosen resolution and codec rather than copying a bitrate intended for a different format.
At 10 Mbps, the video stream alone is approximately 108 GB in a 24-hour day using decimal units, or roughly 3.24 TB over 30 uninterrupted days. This is arithmetic from the bitrate, not a provider measurement, and it excludes audio and protocol overhead. It gives you a starting point for estimating traffic, not a promise about a monthly bill. Apply the selected provider’s current metering terms to the estimate.
Do not assume a bundle with more vCPUs is automatically the better choice. If you are encoding in software, run the actual scene and settings and watch CPU use over time; if the process is consistently close to its limit, you have little margin for a demanding scene or recovery. If you are looping a simple file without re-encoding, test that exact workflow rather than sizing for a more complex production you do not run. Compare enough memory and CPU for the work you actually do, then price the suitable plans in the same region where possible.
If you currently loop media in OBS, this guide to OBS settings for pre-recorded YouTube Live video can help you identify what your workload contains. It does not substitute for a sustained test on the actual instance. A successful test should include your final audio, overlays and reconnect configuration, not a stripped-down placeholder scene.
Measure route and stream stability
A provider’s region list cannot tell you whether your broadcast will stay healthy overnight. Test from the intended Indian ISP and inspect the stream in YouTube Live Control Room. Keep the same encoder, bitrate and video settings when switching regions so you are comparing like with like. Record the start and end time, warnings, dropped frames, disconnections and whether reconnection was automatic.
Run more than a brief connection check. Leave the test operating through the periods when you expect to broadcast, including an overnight interval if overnight use is the point. If a failure occurs, capture whether the encoder lost its network, whether YouTube reported an ingest problem, and whether the stream resumed. A single interruption does not necessarily identify the cause, and one clean session does not establish long-term reliability.
YouTube’s live streaming troubleshooting guidance is useful when interpreting warnings. Check for encoder-side symptoms as well as connection symptoms: a CPU bottleneck can look different from dropped network packets, and keyframe warnings point to encoder configuration rather than a city choice. Keeping a basic incident log makes repeated tests more useful than relying on memory.
Plan recovery before going live publicly. Protect the stream key, limit who can access it, and know how you will restart or reconnect the encoder. Watch the channel from another device during the trial, so you can distinguish an encoder dashboard that says “connected” from a stream that is actually healthy on YouTube. A provider’s restart behaviour is only one part of recovery; verify the whole path.
Estimate total cost for your bitrate
Start with the operating pattern: encoder bitrate, audio bitrate, hours per day and days per month. Convert that into an estimated upload total, then compare it with the applicable transfer allowance and billing rules. Add the monthly compute and storage charge, and include any excess traffic estimate if the provider documents one. Keep the assumptions visible so you can recalculate when the bitrate or broadcast schedule changes.
For Lightsail, the Mumbai allowance is reduced relative to the standard listed bundle, so compare your calculated usage with the Mumbai figure rather than the standard one. The $0.13 USD per GB excess rate documented for India applies to outbound traffic above the allowance, not as a charge on every streamed gigabyte. Inbound traffic still counts against the allowance. Confirm the current terms and how the selected plan is displayed when you are ready to order.
For Hetzner, obtain the current price and included traffic terms for the exact Singapore server before calculating a total. The available location information alone does not provide enough to make a like-for-like cost claim, and this comparison has no matched current price. Your final table should put equivalent workloads and billing periods side by side, not an entry-level plan against a larger instance that happens to have a more suitable encoder fit.
| Cost input | Lightsail in Mumbai | Hetzner in Singapore |
|---|---|---|
| Region | Mumbai is documented | Singapore is documented; no India location appears in the cited locations page |
| Compute price | Check the current Mumbai plan listing and selected instance | Check the current price for the exact selected server |
| Included transfer | AWS lists half the standard displayed allowance for Mumbai; verify the chosen plan | Verify the current included traffic for the selected server |
| Excess traffic | AWS documents outbound excess billing for India; apply the current terms | Verify whether and how excess traffic is billed for the selected server |
| Test result | Measure from your intended Indian ISP to YouTube ingest | Measure from the same ISP and with the same settings |
This leaves a deliberate gap rather than a false winner: the provider with the lower advertised entry price may not be the provider whose instance suits your workload or whose route proves more stable. Use the pricing pages and measured test results to fill in your own operating case.
Run a trial before choosing
Before committing to a monthly setup, prepare a representative stream and test each shortlisted configuration. Use the file, playlist or live scenes you expect to run, and the actual codec, frame rate and bitrate. Confirm that audio remains present, that the stream is visible in YouTube Live Control Room, and that the machine does not struggle as the broadcast continues. A looped devotional video, a lofi playlist and a local news package can have different production needs even if all are described as 24/7 streams.
Try a controlled interruption if you can do so without risking a public broadcast. Observe whether the encoder reconnects, whether YouTube resumes the stream or requires action, and how you become aware of the event. Test your monitoring separately: a process can continue running while the video or audio has stopped changing. If the feed relies on a rotating playlist or scheduled media, check that the next item starts as expected.
If the main problem is keeping a personal computer switched on and recovering a file-based broadcast after a drop, StreamNeo can remove that specific operational burden by running an uploaded video as a 24/7 YouTube live stream without your own computer left on. That is a different operating model from choosing and maintaining a VPS, and it is YouTube-only. It does not change the need to prepare your channel, verify the stream and check that the content is appropriate for your use.
Write down the result before selecting a provider: configuration, region, test network, observed interruptions, encoder headroom, current quoted cost and transfer assumptions. That record is more useful than a generic claim that Mumbai is always better than Singapore, or the reverse. If neither candidate passes your test, revise the workload or look at a different operating model rather than treating a region name as evidence.
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 AWS Lightsail Mumbai automatically more stable than Hetzner Singapore for a stream from India?
No. Mumbai is a documented Lightsail region and Singapore is a documented Hetzner Cloud location, but region availability does not establish the route quality to YouTube ingest. Test both from the Indian ISP you intend to use and inspect stream health during a sustained broadcast.
How much data does a 24/7 YouTube stream use?
It depends on the total video and audio bitrate and how long you stream. As an arithmetic example, 10 Mbps of video alone is about 108 GB per day in decimal units, before audio and overhead; apply each provider’s own rules to estimate what is counted and billed.
Does YouTube audience size multiply my VPS transfer use?
No. The VPS sends the live feed to YouTube, which handles delivery to viewers. Estimate the encoder’s upload volume from bitrate and stream duration, then include any other traffic and apply the provider’s metering rules.
Which provider should I choose?
There is no universal winner established by the available information: exact matching Hetzner pricing and India-to-ingest performance are not established here. Compare current terms for equivalent workloads, then choose based on your measured stability, workload fit and total cost.