Capacity Planning

To forecast infrastructure resource needs, you analyze current compute, storage, and network utilization metrics against growth projections to predict future requirements. This process requires access to infrastructure configurations and billing data for accurate modeling.

Designing a scaling strategy involves analyzing growth forecasts and budget constraints to recommend optimal scaling approaches like horizontal or vertical scaling. It also defines specific triggers for automatic or manual scaling actions.

You can estimate infrastructure costs by feeding different growth scenarios and time horizons into the capacity planning model. This provides cost projections that balance anticipated resource requirements against budget constraints.

Accurate capacity planning requires access to current utilization metrics, infrastructure configurations, and billing data. This data allows the model to analyze existing usage patterns and design effective scaling strategies.

Capacity planning works well for a rapidly growing SaaS company by ensuring infrastructure handles user acquisition surges without performance degradation. It models growth projections to recommend timely scaling actions and prevent excessive costs.

Choosing manual scaling triggers over automated approaches depends on analyzing your specific growth projections and budget constraints. The capacity planning process evaluates these factors to recommend whether auto or manual scaling suits your infrastructure.