A good starting size depends on what the Droplet does. For a software encode or transcode, benchmark a 2-vCPU/4-GB CPU-Optimized Droplet; for relaying an already encoded feed, start with a smaller shared-CPU Basic Droplet and watch its graphs.
Neither is a guaranteed fit for every 24/7 stream. Resolution, frame rate, codec, encoder settings, outputs, and transfer all affect the workload, so test the actual channel before settling on production capacity.
First decide: encode or relay
An encoder turns source video into a compressed stream for YouTube. If FFmpeg or another process on the Droplet reads a file, adds visuals, changes resolution, or compresses the output, the machine is doing encoding or transcoding. This uses CPU continuously, and the load can change with the codec, resolution, frame rate, and encoder preset.
A relay receives an already encoded feed and forwards it to YouTube without decoding and encoding it again. That usually calls for less CPU than a software encode, though the process still uses memory, network capacity, and some processor time. “Relay” does not mean “no resources needed”.
Trace the full path before choosing a plan. Is the source pushed to the Droplet, or does a process there pull it? Does the Droplet only forward one stream, or also create variants, combine audio and video, add a visualiser, or record a copy? A file replayed without changes may be relayed depending on how the software handles it; the important point is whether it decodes and re-encodes along the way.
If you are choosing between a computer you already own and cloud streaming, the operational differences are covered in spare PC or cloud streaming service. For a single repeating file, first consider whether the source workflow requires an encoder at all; replaying the same video file all day is a separate question from the Droplet’s size.
Use CPU-Optimized as an encoding benchmark
DigitalOcean identifies video and live streaming among the workloads suited to its CPU-Optimized family. The family begins at 2 vCPUs and 4 GB of RAM, making that configuration a sensible benchmark starting point for one server-side software encode or transcode. It is not a claim that this size can encode every 1080p stream, or a promise of capacity for a particular channel.
A dedicated-CPU family is a better fit to investigate when the machine must perform sustained encoding, because an encode competes directly for processor time. But a family label and a plan floor cannot tell you whether your particular video will stay within capacity. One static image with music and one detailed scene with motion may put different demands on the encoder even at the same output resolution.
Start with one representative output and the exact settings you intend to use. Check whether the encoder sustains the configured frame rate without overload, whether output stays stable, and whether the process has enough memory for its buffers and any supporting software. If the CPU remains busy or frames are missed, investigate the preset and workload before moving up; if the process is consistently within comfortable headroom, test that conclusion over a longer run.
DigitalOcean recommends matching capacity to measured use, benchmarking the workload, and load testing before choosing a production configuration. Its documentation does not publish a benchmark for one specific 24/7 YouTube stream at a given resolution. Treat 2-vCPU/4-GB as a place to begin testing, not an answer that replaces testing.
Start smaller for an already encoded relay
If the Droplet forwards one already encoded feed, a shared-CPU Basic Droplet is a reasonable place to begin. DigitalOcean describes shared CPU as suitable for low-to-moderate workloads with occasional bursts. A relay can fit that pattern better than a continuous software encode, but the label is only a starting assumption: check actual CPU, memory, throughput, and transfer use during your stream.
Choose the smallest configuration that can be tested with the real relay software and source. A short check can show whether the process starts and reaches YouTube, but it will not show what happens after a long period of steady traffic, a reconnect, or a source interruption. Watch how the relay behaves when the feed returns and whether it resumes forwarding without manual intervention.
If a relay’s CPU graphs stay low but the outgoing stream still drops, CPU may not be the constraint. Check network throughput, the source connection, relay configuration, and YouTube’s stream health. Increasing vCPU will not repair an unstable source connection or correct a bad keyframe interval.
The companion guide to DigitalOcean Basic versus CPU-Optimized streaming costs can help frame the plan-family comparison. Keep capacity and cost as separate decisions: a smaller plan may save on compute but does not automatically make a high-volume outbound stream inexpensive.
Match resolution, frame rate, and bitrate
Resolution and frame rate shape the encoding workload; bitrate shapes the outgoing data volume. Use the row for your intended format in YouTube’s official encoder settings and bitrate guide. For H.264, its recommended examples include 10 Mbps for 1080p30, 12 Mbps for 1080p60, and 6 Mbps for 720p60. Those are YouTube ingest recommendations, not DigitalOcean Droplet sizing benchmarks.
The YouTube guide specifies supported ingest protocols and codecs, recommends constant bitrate (CBR), and gives a recommended keyframe interval of two seconds that should not exceed four seconds. It also recommends RTMPS. Use the relevant settings for the format you have chosen, then confirm stream health while testing. A higher-resolution or higher-frame-rate output may increase the work of a server-side encode, but the actual result depends on the codec, preset, and content.
Bitrate also has a straightforward transfer implication. At a steady 12 Mbps, the stream carries about 5.4 decimal GB per hour: 12 megabits per second multiplied by 3,600 seconds, then divided by eight bits per byte. That is about 129.6 GB per day, or 3.89 decimal TB over 30 days, before protocol overhead. These are arithmetic estimates, not a DigitalOcean allowance or a promise about the traffic you will see.
Separate the CPU question from the network bill. More CPU may help an encode that is processor-bound; it does not reduce the data sent at a fixed bitrate. DigitalOcean says additional outbound transfer is charged at $0.01 per GiB, and included transfer is pooled at team level. Check the current plan details and your team’s actual usage in DigitalOcean’s pricing documentation, because allowances vary by configuration and pooled usage. Do not assume the Droplet’s transfer allotment alone covers the stream.
Count every output and background task
One encode sent to YouTube is not the same workload as several concurrent encodes. If you produce separate resolutions, send to more than one destination, or run an additional media service, the Droplet may be encoding, reading, and transmitting multiple outputs at once. Each task can add processor use, memory demand, and outbound traffic. Size from the combined workload rather than multiplying a single-stream guess and treating it as a guarantee.
List what runs on the machine during the channel’s normal day: the encoder or relay, file reader, audio processing, visual overlays, monitoring agents, recording, and any other services. Mark which tasks are continuous and which start only at particular times. A scheduled recording or playlist change can create a short peak that a quiet idle-period graph will miss.
Source handling matters too. A feed pushed from another machine depends on the sender’s connection and behaviour. A pulled source depends on its availability and the Droplet’s ability to reconnect. Neither path changes YouTube’s bitrate recommendation, but both can affect whether the complete stream recovers cleanly after an interruption. For a channel built around visuals, the guide to adding continuous background visuals to an Indian music live stream can help clarify what is part of the source workflow before you size the compute.
If managing a machine through overnight interruptions is itself the concern, StreamNeo removes the need to keep your own computer on: you upload a file, provide your YouTube stream key, and the broadcast can run while your computer is off. It is a YouTube-only route for a file-based stream, not a replacement for a Droplet when you need to operate a general-purpose relay or custom media workload.
Read graphs as evidence, not as a verdict
During a representative run, review CPU, memory, disk, and bandwidth graphs in DigitalOcean’s control panel. The DigitalOcean monitoring guidance explains the available Droplet graphs and alerting. Look at the full timeline, including starts, reconnects, playlist transitions, and any scheduled work, rather than judging capacity from a single snapshot.
For an encode, sustained high CPU can point to a processor bottleneck, especially if the encoder reports overload or output frames are missed. For a relay, CPU should usually be less demanding, but confirm that it remains stable under the actual feed. If memory rises over time, identify which process is growing; adding CPU will not fix a memory leak or a process that is retaining buffers.
Bandwidth graphs help distinguish resource use from transfer volume. They can show whether the expected outgoing traffic is present and whether the stream sends more data than planned. Compare that with the configured bitrate and any additional outputs. A mismatch can reflect overhead or other traffic, so use the graph as a prompt to investigate, not a direct invoice calculation.
Dropped frames have several possible causes. The encoder may be overloaded, the source may be inconsistent, or the route to YouTube may be unstable. Follow the checks in how to fix dropped frames in a recorded video stream before concluding that a larger Droplet is the answer. YouTube’s stream-health view is another part of the diagnosis.
Load test before relying on it overnight
YouTube advises testing with audio and movement similar to what the live stream will contain, then monitoring stream health. Apply that advice before depending on a channel through the night. Use the real video, audio, output settings, and software, and test the exact number of outputs you plan to run. A still image test will not exercise a moving visualiser or the same encoder workload as the finished programme.
Start by checking the basic path: the source reaches the Droplet, the encoder or relay starts, YouTube receives the feed, and the stream health is acceptable. Then leave the system running long enough to inspect trends in memory and CPU and to notice whether any periodic job changes the load. A short start-up test is useful, but it cannot establish that a process will behave the same after many hours.
Include recovery checks where practical. Observe what happens when the source or relay disconnects and returns, whether the encoder restarts, and whether an operator must intervene. Do not deliberately interrupt a public stream if that would affect viewers; use a private or otherwise suitable test arrangement. Record the configuration and what you observed so a later change to resolution, codec, preset, or output count can be tested against a known baseline.
Choose production capacity after reviewing the peak workload and its headroom, not by treating an average as the whole story. If the encode is CPU-bound, try a larger CPU-Optimized configuration and repeat the same test. If memory is the limit, investigate the process and memory requirement. If the workload is a simple relay with low resource use, a smaller Basic plan may remain appropriate. DigitalOcean’s Droplet sizing guidance likewise points towards measuring and testing rather than assuming a plan from a use-case label.
Remember that a 24/7 schedule makes costs recurring. Compute charges and outbound transfer are different line items, and turning off a bundled CPU Droplet does not necessarily stop billing while its resources remain reserved; destroying it does. Check current DigitalOcean billing details and your team’s pooled transfer usage before leaving a test configuration running indefinitely.
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
Can a 2-vCPU/4-GB Droplet run a 24/7 YouTube stream?
It is a benchmark starting point for a server that encodes or transcodes one stream, based on DigitalOcean’s CPU-Optimized workload category and its smallest listed configuration in that family. It is not a capacity guarantee for every codec, preset, resolution, or concurrent workload. Test your actual stream and choose based on the results.
Is a Basic Droplet enough for a 24/7 relay?
It can be a sensible place to begin when the Droplet only forwards an already encoded feed. Run the relay with the real source and monitor CPU, memory, throughput, and stream health; move up if the measured workload needs it.
How much outbound transfer does a 12 Mbps stream use?
The bitrate equates to about 5.4 decimal GB per hour, 129.6 GB per day, and 3.89 decimal TB over 30 days before protocol overhead. These are calculated estimates, not DigitalOcean transfer allowances. Check the current pooled allowance and any overage against your team’s usage.
Should I choose a larger Droplet for 1080p?
Not from resolution alone. Frame rate, codec, encoder preset, whether you are encoding or relaying, and concurrent outputs all matter. Test the actual settings and use the graphs and stream-health indicators to identify the limiting resource.