diff --git a/scalability/cold-start-strategy.md b/scalability/cold-start-strategy.md new file mode 100644 index 0000000..6ac74c9 --- /dev/null +++ b/scalability/cold-start-strategy.md @@ -0,0 +1,70 @@ +# Cold Start Strategy for New Containers + +## Overview + +A cold start occurs when the platform launches a new container because application traffic has increased and additional capacity is required. + +## Strategy + +### 1. Keep Warm Instances + +Maintain a small number of idle containers (2–3 replicas) that are always running and ready to receive traffic immediately. + +--- + +### 2. Horizontal Auto Scaling + +Automatically create additional containers when one or more of the following conditions are met: + +- CPU usage exceeds 70% +- Memory usage exceeds 75% +- Request rate increases significantly +- Response time exceeds the defined threshold + +--- + +### 3. Fast Container Startup + +Reduce container startup time by: + +- Using lightweight Docker images +- Installing only required packages +- Minimizing application initialization +- Preloading configuration files + +--- + +### 4. Health Checks + +A new container should not receive production traffic until it successfully passes: + +- Readiness Probe +- Health Check + +This ensures users are only routed to healthy containers. + +--- + +### 5. Rolling Updates + +Deploy new application versions gradually to avoid downtime. + +Example: + +Old Version +██████████ + +↓ + +New Version +██░░░░░░░░ + +↓ + +████░░░░░ + +↓ + +██████████ + +This strategy guarantees continuous service availability during deployments. diff --git a/scalability/ghaymah-block-storage.md b/scalability/ghaymah-block-storage.md new file mode 100644 index 0000000..0e9fe2e --- /dev/null +++ b/scalability/ghaymah-block-storage.md @@ -0,0 +1,63 @@ +# Using Ghaymah Block Storage for Stateful Workloads + +## Overview + +Ghaymah Block Storage provides persistent storage that remains available even if containers are restarted, replaced, or rescheduled. + +It is designed for applications that must preserve data. + +## Common Stateful Workloads + +- PostgreSQL +- MySQL +- MongoDB +- Elasticsearch +- Jenkins +- GitLab +- File Storage +- Application Uploads + +--- + +## Benefits + +### Persistent Data + +Data remains available after: + +- Container restart +- Node failure +- Deployment updates + +--- + +### High Performance + +Block Storage provides low-latency, high-performance storage suitable for databases and transactional workloads. + +--- + +### Easy Scaling + +Storage volumes can be expanded without recreating the application. + +--- + +### Reliability + +Storage is independent of containers, reducing the risk of data loss and improving application resilience. + +--- + +## Example Architecture + +Application Container + | + | +Persistent Volume + | + | +Ghaymah Block Storage + | + | + PostgreSQL Database