75 أسطر
1.8 KiB
Markdown
75 أسطر
1.8 KiB
Markdown
# Scalability and Load Balancing
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## 1. Container Calculation
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### Given
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- Expected traffic: **15,000 requests/second**
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- One container capacity: **500 requests/second**
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- Safety margin: **30%**
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### Step 1: Base Number of Containers
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15000 / 500 = **30 containers**
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### Step 2: Add Safety Margin
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30 × 1.30 = **39 containers**
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### Final Result
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**39 containers** are required to safely handle 15,000 requests per second while maintaining a 30% capacity margin for traffic spikes and failover scenarios.
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---
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# 2. Cold Start Strategy
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To minimize startup latency for new containers:
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- Keep a small pool of warm containers ready to receive traffic.
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- Use Kubernetes Horizontal Pod Autoscaler (HPA).
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- Pre-pull container images on worker nodes.
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- Configure Readiness Probes before accepting requests.
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- Use Rolling Updates for zero-downtime deployments.
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- Scale based on CPU utilization and request rate.
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---
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# 3. Ghaymah Block Storage for Stateful Workloads
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Containers are ephemeral and lose local storage when restarted. Stateful workloads require persistent storage.
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Ghaymah Block Storage provides persistent volumes that remain attached to applications even after pod or container recreation.
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Typical stateful workloads include:
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- PostgreSQL
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- MySQL
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- MongoDB
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- Redis Persistence
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- Elasticsearch
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- Jenkins
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- Kafka
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- RabbitMQ
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Benefits:
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- Persistent storage
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- High performance
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- Volume reattachment after restart
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- Snapshot support
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- Backup and disaster recovery
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- Independent lifecycle from containers
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---
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# Summary
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| Requirement | Solution |
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|------------|----------|
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| Incoming Traffic | 15,000 req/s |
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| Container Capacity | 500 req/s |
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| Safety Margin | 30% |
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| Required Containers | **39 Containers** |
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| Cold Start | Warm Pool, HPA, Image Pre-Pulling, Readiness Probes |
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