77 أسطر
1.5 KiB
Markdown
77 أسطر
1.5 KiB
Markdown
# Q4 - Scalability & Load Balancing
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## Objective
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Design a scalable architecture capable of handling **15,000 requests per second** on the Ghaymah Container Platform.
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---
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## Proposed Architecture
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The solution uses:
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- Ghaymah Load Balancer
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- 39 Application Containers
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- PostgreSQL Database
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- Redis Cache
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- Ghaymah Block Storage
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- Monitoring and Health Checks
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The Load Balancer distributes incoming traffic evenly across all application containers while health checks ensure traffic is only routed to healthy instances.
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---
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## Container Calculation
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Expected Traffic
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- 15,000 requests/second
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Container Capacity
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- 500 requests/second
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Required Containers
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15000 / 500 = 30
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Including 30% reserve capacity
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30 × 1.3 = 39 containers
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---
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## Cold Start Strategy
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The platform keeps additional warm containers available to reduce startup latency during sudden traffic spikes.
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New containers are automatically created when resource utilization reaches the defined thresholds and are added to the Load Balancer only after passing health checks.
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---
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## Ghaymah Block Storage
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Persistent storage is attached to the database layer to ensure application data survives container restarts and deployments.
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Suitable workloads include:
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- Databases
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- Logs
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- Uploaded files
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- Stateful applications
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---
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## Monitoring
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The deployment should continuously monitor:
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- CPU Utilization
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- Memory Usage
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- Response Time
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- Error Rate
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- Container Health
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- Restart Count
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Alerts should be triggered before resources reach critical levels to prevent service interruption.
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