# Scalability Calculations

## Required Capacity

Expected traffic:

15,000 requests/second

Each container handles:

500 requests/second

Base number of containers:

15000 / 500 = 30 containers

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## Safety Margin

Required safety margin:

30%

30 × 1.30 = 39 containers

Final requirement:

**39 containers**

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# Cold Start Strategy

To reduce startup latency for new containers:

- Keep at least 2 warm standby containers.
- Pre-pull container images on worker nodes.
- Use lightweight container images.
- Enable Horizontal Pod Autoscaler.
- Scale gradually based on CPU and request rate.
- Perform health checks before routing traffic.

This minimizes cold start delays during traffic spikes.

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# Using Ghaymah Block Storage

Block Storage is suitable for stateful workloads because it provides persistent storage independent of the container lifecycle.

Typical use cases:

- PostgreSQL
- MySQL
- MongoDB
- Redis persistence
- Application uploads
- Log storage

Benefits:

- Persistent data after container restarts.
- High-performance disk access.
- Easy attachment to containers.
- Reliable storage for production workloads.

Containers can be recreated without losing application data because the storage volume remains intact.