Objective

To implement a hybrid encoding solution using Scramjet Transform Hub, combining local GPU-based encoding with cloud offloading capabilities for efficient and cost-effective video processing.

Core Components

1. GPU Encoding Sequence: Utilizes ffmpeg for high-performance local video encoding.
2. Encoding Manager Sequence: Manages workload distribution, and new hubs in the space.
3. API Exposing Sequence: Handles encoding requests, integrating seamlessly with client systems.

Benefits:

1. Optimized Performance: Leverages local, low-cost GPU power for base demand.

2. Scalability: Scales up to cloud resources during peak, maintaining consistent performance.

3. Flexibility: Dynamic distribution between available resources adapts to varying workloads.

Cost Savings:

1. Reduced Operational Costs: Minimizes reliance on constant cloud resources and excessively priced GPU instances, lowering ongoing expenses.
2. Spot Pricing Utilization: Takes advantage of lower-cost cloud resources, offering significant savings during off-peak times.

Conclusion:

This hybrid encoding solution presents a highly adaptive and cost-efficient approach for video processing. By intelligently combining on-premises GPU power with cloud scalability, it ensures optimal performance and flexibility. Usage of Scramjet Cloud Platform makes implementation and extensibility easy and agile.