Know your limits before production finds them for you.
Forecasting demand and sizing infrastructure so systems scale predictably instead of reactively.
What is capacity planning?
Capacity planning is the practice of forecasting future demand and sizing infrastructure to meet it — before that demand actually arrives. Done well, it turns scaling from a reactive scramble into a predictable, budgeted process: modeling expected workload growth, right-sizing compute and storage, and taking advantage of cloud elasticity without over- or under-provisioning.
This pillar covers the forecasting and modeling techniques behind capacity planning, along with the infrastructure and cloud considerations that determine how — and how cheaply — a system can scale.
Explore Capacity Planning.
A closer look at the topics that make up this pillar. Each one links out to a dedicated guide.
Capacity Modeling
Building models that translate expected demand into infrastructure requirements.
TopicWorkload Forecasting
Projecting future traffic and usage patterns from historical data.
TopicResource Sizing
Right-sizing compute, memory, and storage for expected workloads.
TopicInfrastructure
The underlying compute, network, and storage capacity planning depends on.
TopicCloud
Elastic capacity, autoscaling, and cost trade-offs in cloud environments.
TopicScalability
Planning for growth without over-provisioning or under-provisioning.
Plan capacity before demand forces your hand.
Forecast workloads and size infrastructure with confidence.
