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Capacity Planning

Overview

GistPin uses automated capacity analysis and 90-day usage forecasting to proactively scale infrastructure before resource constraints impact users.

Tools

Script Purpose
capacity-analysis.sh Collect CPU, memory, storage, and connection trends from CloudWatch
forecast-usage.py Linear regression forecast with scale-up/down recommendations

Running Analysis

# Analyse last 30 days
LOOKBACK_DAYS=30 ./infrastructure/scripts/capacity-analysis.sh

# 90-day forecast (text output)
python3 infrastructure/scripts/forecast-usage.py --region us-east-1 --forecast-days 90

# JSON output for automation
python3 infrastructure/scripts/forecast-usage.py --output json

Thresholds and Actions

Resource Warning Action
Node CPU > 70% avg Add EKS node group
Node Memory > 75% avg Increase node instance type
RDS Connections > 80% max Enable RDS Proxy or scale instance
RDS Free Storage < 20 GB Increase allocated storage

Scaling Procedures

EKS Horizontal Scaling

HPA is configured for backend (2–10 replicas) and frontend (2–6 replicas). Adjust limits in infrastructure/k8s/hpa-backend.yaml and hpa-frontend.yaml.

EKS Vertical Scaling (node groups)

Update infrastructure/terraform/eks-node-groups.tf and apply:

terraform apply -target=aws_eks_node_group.gistpin_nodes

RDS Storage Auto-scaling

Enabled by default with a 1 TB ceiling. To raise the ceiling:

aws rds modify-db-instance --db-instance-identifier gistpin-db \
  --max-allocated-storage 2000

Schedule

  • Weekly: automated capacity-analysis.sh run via CI cron
  • Monthly: review forecast-usage.py output and update Terraform if needed
  • Quarterly: full capacity review with 6-month projections