Scalability for Uninterrupted Streaming

Muvi offers robust scalability for your streaming platform. Whether streaming VOD or live content, Muvi handles high traffic and concurrent users effortlessly, making it a reliable and scalable video streaming solution.

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TRUSTED BY 5K+ Customers

Why Muvi?
We Infinitly Scale with You



High Availability

Your content is always accessible, even during peak traffic times.

Auto-Scaling

Automatically adjusts resources based on traffic, ensuring optimal performance.

Cost Efficiency

Scale up or down based on demand, optimizing costs and resource utilization.

Advanced Monitoring

AWS Cloudwatch and custom Zabbix alert systems for real-time monitoring and proactive resource management to prevent bottlenecks.

Auto Scaling Lifecycle

Muvi leverages the power of AWS to provide an auto-scaling lifecycle that adapts to your traffic patterns, delivering a highly efficient scalable video streaming platform.

Vertical Scaling

Also called scaling up/down. With vertical scaling, we can increase or decrease the number of virtual central processing units (vCPUs), memory, or storage for an existing resource. 

An example of scaling up is changing a C5a.xlarge EC2 instance, which has 4 vCPUs and 8 GB memory, to a C5a.4xlarge instance, which has 8 vCPUs and 32 GB memory.

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Horizontal scaling

Also called scaling in/out. With horizontal scaling, we increase or decrease the number of resources in your infrastructure.

An example of scaling out would be if you are hosting a web app on a single EC2 server and you add two more EC2 instances during the horizontal scaling.

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Muvi Leverages Multiple Scaling options

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Manual Scaling

Manually configure vertical or horizontal scaling based on predictable traffic.

Scheduled Scaling

Schedule scaling actions based on expected traffic patterns.

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Auto Scaling

Automatically scale apps proactively or reactively using AWS Auto Scaling Groups (ASGs).

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Looking For An Infinitely Scalable Streaming Platform? Muvi Is Here!


Looking For An Infinitely Scalable Streaming Platform? Muvi Is Here!


Resource-Based Scaling

Automatically scales streaming infrastructure based on resource utilization, such as CPU or memory. When resource usage exceeds set thresholds, additional servers are added, and they are removed as usage drops—ensuring a seamless scalable video streaming service.

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Request-Based Scaling

Dynamically adjusts streaming capacity based on incoming viewer requests. More servers are added as request volume increases and scaled down when demand decreases, making it an ideal video streaming solution for scaling.

Muvi Scales with You, From Start
Users Between 1K to 5K

With a single server, you can potentially support hundreds or thousands of users, depending on the application's complexity and the size of the EC2 instance.

We Scale As You Grow
Users Up to 10k

High availability with multiple zones and master-slave databases, including auto-scaling and advanced monitoring for optimal performance.

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Muvi Scales As Your Scale from 10K Users to 1 Million & Above

Muvi Scales As Your Scale from 10K Users to 1 Million & Above

Regular or Unexpected Traffic
Upto 100k Users

High scalability with Muvi's Read/Write RDS and horizontal scalability, ensures seamless performance and reliability even during peak traffic, delivering optimal streaming quality for your users.

Scaling with Muvi - Users 100k to 1M & Above

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Static Content Storing

Muvi stores static assets like images, videos, and HTML files on AWS S3 instead of application servers. This reduces unnecessary network traffic and ensures high durability, infinite scalability, and encryption for static content.

Dynamic Content Delivery

Muvi utilizes CDN for all dynamic content delivery. This ensures that spike traffic is handled by the CDN infrastructure, with origin servers rendering content, providing a smooth user experience even during high traffic.

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DB Query Caching

Database queries are cached using ElastiCache. Users receive cached query results, reducing the load on the database and improving performance for read-heavy operations.

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Session Data Storing

We reduce server load by decoupling session handling from servers. Session data is stored in DynamoDB, allowing users to log on to any server without losing session data, enhancing reliability and performance.