Capacity planning ensures your infrastructure can handle current workloads and anticipated growth without over-provisioning. Accurate forecasting prevents both performance bottlenecks and wasted spending on unused resources.
Metrics Collection and Trend Analysis
Collect baseline metrics for CPU utilization, memory usage, disk I/O, and network throughput over extended periods. Weekly and monthly trends reveal patterns that point measurements miss, such as end-of-month processing spikes or seasonal traffic increases.
Tools like Prometheus with Grafana, Zabbix, or Datadog provide the historical data needed for capacity modeling. Set up long-term retention policies to maintain at least 12 months of metrics for meaningful trend analysis and forecasting.
Apply growth multipliers based on business projections and add headroom for unexpected demand. A common practice is planning for 70% peak utilization, leaving 30% buffer for traffic spikes and maintenance operations that temporarily reduce available capacity.