Advanced Topic 36 of 50 DevOps & Tooling
Capacity Planning
Forecasting resources needed for demand.
How it works
Capacity planning estimates the resources a system needs to meet demand with an acceptable margin. It starts with measuring current usage of CPU, memory, storage, network and database connections, finds the limiting resource through load testing and projects growth from trends, seasonal peaks and planned launches. Headroom is added for failures, so a service that loses one zone still copes. Queueing theory explains why latency rises sharply as utilization nears 100 percent. Autoscaling handles short-term spikes while planning covers lead times, budgets and quotas.
Where it is used
Companies use it before product launches, sales events and migrations to avoid outages and avoid paying for idle hardware.
Common pitfall
Planning from averages rather than peaks, ignoring hidden bottlenecks such as a database or a third-party limit and trusting untested autoscaling all cause failures. Load test regularly and review forecasts against reality.
Where it fits in the course
Capacity Planning is topic 36 of 50 in DevOps & Tooling, rated Advanced. It follows SLIs, SLOs and SLAs. The next topic is Cost Optimization.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the DevOps & Tooling quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the DevOps & Tooling quiz, and revisit the topic if you miss a question.
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Related topics
- SLIs, SLOs and SLAs (DevOps & Tooling)
- Cost Optimization (DevOps & Tooling)
- Postmortems (DevOps & Tooling)
- Secrets Management (DevOps & Tooling)