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AWS Cloud Infrastructure: Streaming Capacity You Do Not Have to Predict

Running on major cloud infrastructure means bursts in storage, processing and delivery are absorbed, not planned for.

Why Video Breaks Capacity Planning

Vodlix runs on major cloud infrastructure, including AWS, which gives you capacity you do not have to predict. Video breaks ordinary capacity planning: storage jumps when a back catalogue lands, processing peaks when hundreds of files arrive at once and delivery surges at a premiere. Most software grows predictably; video does not. Elastic cloud infrastructure absorbs those bursts rather than requiring you to plan for them. For OTT operators, that means growth never waits on a hardware order.


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Elastic scale

Handles sudden bursts.

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Storage on demand

Absorbs a back catalogue drop.

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Peak delivery

Ready for a premiere.

Elastic Infrastructure That Absorbs the Peaks

Provisioning infrastructure for peak demand wastes money for most of the month; provisioning for average demand fails exactly when it matters. Vodlix's elastic infrastructure removes that trade off by scaling up to absorb bursts in storage, processing and delivery, then scaling back down when demand passes. You pay for what is used rather than what might be needed. Absorbing peaks automatically is what keeps a streaming service both reliable and cost efficient.


Transcoding That Scales on Arrival

When two hundred files arrive at once, Vodlix's transcoding capacity scales up to process them in parallel and scales back down when the queue clears. Ingest is fast when a distributor delivers a catalogue, without idle capacity sitting unused between deliveries. Processing that scales on arrival means a migration or a large content drop does not create a backlog. Your publishing schedule is set by your plans, not by encoding throughput.


Reliable Delivery at the Big Moments

Delivery capacity in Vodlix scales for the few hours of a premiere that dwarf the rest of the month. A live event or a major release can draw an audience many times larger than a typical evening, and the platform is strongest exactly when the audience is largest. CDN and streaming infrastructure expand to meet the moment and contract afterwards. Reliability at the big moments is what protects both revenue and reputation.


Frequently Asked Questions

Have questions about taking advantage of this limited-time offer? Check out the FAQ for answers.

Why does a streaming platform need elastic infrastructure?
Video demand arrives in bursts: storage jumps when a catalogue lands, processing peaks when files arrive together and delivery surges at a premiere. Vodlix's elastic cloud infrastructure absorbs those bursts automatically.
What happens when a large batch of files arrives on Vodlix?
Vodlix transcoding capacity scales up to process the batch in parallel and scales back down when the queue clears, so ingest is fast without idle capacity sitting unused in between.
How does Vodlix handle a premiere or live event?
Vodlix delivery capacity expands for the peak hours of a premiere or live event and contracts afterwards, so the platform is strongest exactly when the audience is largest.
Do I have to plan capacity ahead on Vodlix?
No. Vodlix runs on major cloud infrastructure including AWS, so bursts are absorbed rather than predicted, and you avoid both over provisioning for a rare peak and failing when demand spikes.
What is the benefit of cloud infrastructure over fixed capacity?
With Vodlix on elastic cloud infrastructure you do not pay for a peak you rarely use, and you do not fail when demand spikes. Capacity follows the audience rather than a forecast.
Does the choice of cloud provider matter?
Less than operators usually expect. What determines reliability is whether transcoding recovers from failures without losing files, whether delivery has a fallback, and whether you can see what is happening. Those are platform properties.
How does this relate to the CDN?
They solve adjacent halves. Infrastructure is where things are stored and processed, the delivery network is how they reach a viewer quickly. A service can get one right and the other wrong and still feel slow.
What should I actually ask about infrastructure?
How it behaves when something fails, and what you can see when something is slow. Those questions distinguish platforms far better than which provider is named, and they are the ones that matter at three in the morning.