Infrastructure
Built to Scale

Built for live and on-demand demand

Scales with audience growth

Supports peak traffic periods

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TRUSTED BY GLOBAL LEADERS

Comviva
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Simply South
Sony

Built for Demanding Streaming Workloads

Support changing traffic conditions across live and on-demand streaming with infrastructure designed to stay steady as demand becomes more complex.

Audience Growth

Support rising viewership without reworking your infrastructure.

Peak Traffic Periods

Stay better prepared for sudden spikes in platform activity.

High-Concurrency Streaming

Support more simultaneous viewers with greater stability.

Live Event Surges

Handle time-sensitive demand during live streaming peaks.

Expanding Content Operations

Keep up as your platform, catalog, and usage grow.

Core Capabilities Behind Scalable Streaming

Muvi brings together key infrastructure capabilities to help support growing demand, reduce strain across critical systems, and keep streaming experiences responsive.

High Availability High Availability

Support continuous access during peak usage with infrastructure designed for stronger uptime and resilience.

Auto Scaling Auto Scaling

Adjust infrastructure capacity as traffic, workloads, and resource demand change.

Advanced Monitoring Advanced Monitoring

Track infrastructure health to identify issues early and reduce performance bottlenecks.

Load Distribution Load Distribution

Balance incoming traffic across resources to support steadier platform performance.

Storage Optimization Storage Optimization

Support heavier media workloads with scalable storage layers built for efficient delivery.

CDN Delivery

Deliver content more efficiently to viewers across regions and devices.

How Muvi Scales Streaming Infrastructure

Vertical Scaling

Strengthen an existing infrastructure resource.

Vertical scaling increases the capacity of a current server or resource by adding more compute power, memory, or storage. It is useful when a workload needs more power within the same infrastructure layer.

  • Add more vCPUs, memory, or storage
  • Improve performance for heavier processing demand
  • Strengthen an existing resource before adding new instances

Horizontal Scaling

Add more resources to distribute demand.

Horizontal scaling increases capacity by adding more servers or infrastructure resources. It helps spread traffic across the system instead of depending on a single resource.

  • Add servers or instances as traffic grows
  • Distribute demand across multiple infrastructure resources
  • Support larger audiences with greater flexibility
Manual Scaling

Make planned capacity changes with direct control.

Manual scaling allows teams to change infrastructure capacity based on expected needs, planned events, or operational decisions. It works well when capacity changes are known in advance.

  • Useful for launches, campaigns, and planned events
  • Gives teams control over infrastructure adjustments
  • Helps align capacity with operational planning
Schedule Scaling

Prepare capacity before known traffic windows.

Scheduled scaling adjusts infrastructure capacity at pre-defined times. It is useful when traffic patterns are predictable or tied to recurring events.

  • Scale ahead of recurring demand periods
  • Support scheduled releases, premieres, or campaigns
  • Reduce last-minute infrastructure changes
Request Based Scaling

Let incoming platform activity drive capacity changes.

Request-based scaling adjusts capacity based on incoming traffic, viewer activity, or request volume. It helps infrastructure respond when platform usage starts rising.

  • Track traffic and request volume
  • Add capacity as viewer activity increases
  • Support demand that changes with audience behavior
Resource Based Scaling

Scale when system usage shows pressure.

Resource-based scaling adjusts capacity based on infrastructure signals such as CPU usage, memory usage, load, or overall resource pressure. It helps reduce strain before performance is affected.

  • Respond to CPU, memory, or load thresholds
  • Reduce pressure during heavier workloads
  • Keep infrastructure more responsive under usage spikes

Why Muvi for

Scalable Streaming

Built for Streaming Demand

Support live, on-demand, and high-traffic viewing experiences with infrastructure designed around streaming workloads.

Managed Scaling Layer

Let Muvi handle the infrastructure layer needed to support changing traffic, workload, and usage conditions.

App and Infrastructure Together

Power web, mobile, and TV apps on top of infrastructure designed to support growth across devices.

Less Operational Overhead

Reduce the need to plan, manage, and maintain every infrastructure layer separately as your platform scales.

Ready for Growth

Support audience expansion, larger catalogs, and peak streaming periods with a platform built to grow with demand.

Frequently Asked Questions

Scalable streaming infrastructure allows a platform to support growing traffic, heavier workloads, and peak viewing periods by adjusting infrastructure capacity as demand changes.

Muvi supports infrastructure scaling, traffic distribution, monitoring, and storage optimization to help streaming platforms stay responsive during sudden or expected increases in usage.

Vertical scaling increases the capacity of an existing resource by adding more compute power, memory, or storage. Horizontal scaling adds more servers or resources to distribute demand across the infrastructure.

Yes. Muvi’s infrastructure is designed to support both live and on-demand streaming workloads, including audience growth, peak traffic periods, and high-concurrency viewing conditions.

Manual scaling allows infrastructure capacity to be adjusted based on planned needs, such as launches, events, campaigns, or expected traffic periods.

Scheduled scaling adjusts infrastructure capacity at pre-defined times. It is useful for recurring events, planned premieres, campaigns, or known high-traffic windows.

Request-based scaling adjusts infrastructure capacity based on incoming traffic, viewer activity, or request volume. It helps capacity follow platform usage more closely as demand increases.

Resource-based scaling adjusts capacity based on infrastructure usage levels such as CPU, memory, load, or overall resource pressure. It helps reduce strain when workloads become heavier.

Monitoring helps track infrastructure health, usage levels, and performance signals so potential bottlenecks can be identified early and addressed before they affect the streaming experience.

OTT platforms often face changing demand from live events, content releases, audience growth, and concurrent viewing. Scalable infrastructure helps support these changes without forcing teams to rework the platform every time demand increases.