Complete Ghaymah SRE Technical Assessment

q4-scalability/architecture.md

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+# Application Architecture
+
+                        Internet
+                            |
+                            |
+                     +---------------+
+                     | Load Balancer |
+                     +---------------+
+                            |
+        -----------------------------------------
+        |                  |                   |
++---------------+   +---------------+   +---------------+
+| Container #1  |   | Container #2  |   | Container #3  |
+| 500 req/s     |   | 500 req/s     |   | 500 req/s     |
++---------------+   +---------------+   +---------------+
+        |                  |                   |
+        -----------------------------------------
+                            |
+                    +----------------+
+                    | Block Storage  |
+                    +----------------+

q4-scalability/calculations.md

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+# Scalability Calculations
+
+## Requirements
+
+- Expected Traffic: 15,000 requests/second
+- Capacity per Container: 500 requests/second
+- Safety Margin: 30%
+
+---
+
+## Step 1: Calculate Required Containers
+
+15000 ÷ 500 = 30 Containers
+
+---
+
+## Step 2: Add Safety Margin
+
+30 × 30% = 9 Containers
+
+---
+
+## Total Containers
+
+30 + 9 = **39 Containers**
+
+The application should start with 39 containers to handle the expected traffic safely.
+
+
+---
+
+# Cold Start Strategy
+
+To reduce cold start time:
+
+- Keep a minimum of 2 containers always running.
+- Use lightweight Docker images.
+- Pre-pull container images on worker nodes.
+- Configure Horizontal Pod Autoscaler (HPA).
+- Enable readiness probes before sending traffic to new containers.
+
+This strategy reduces startup delay and improves application availability during traffic spikes.
+
+
+---
+
+# Using Ghaymah Block Storage
+
+Block Storage provides persistent storage for applications that need to keep data even if containers are restarted or replaced.
+
+Common use cases:
+
+- Databases (PostgreSQL, MySQL)
+- Application logs
+- User uploaded files
+- Backup data
+
+Benefits:
+
+- Persistent storage
+- High availability
+- Data remains available after container restarts
+- Easy to attach to new containers