Observability & Operations

Capacity Planning

Forecasting compute, storage, and network headroom before you need it.

⏱ 10 min read

What it is

Capacity Planning is a key concept in observability & operations. This article covers the core principles, implementation patterns, and best practices.

Why it exists

Understanding capacity planning is essential for building robust, scalable systems. The patterns and practices described here have emerged from real-world experience across many organizations.

When to use

  • When designing systems that require capacity planning capabilities.
  • When evaluating architectural trade-offs in your specific context.
  • When onboarding team members to established practices.

When not to use

  • When the complexity overhead outweighs the benefit for your use case.
  • When simpler alternatives adequately solve the problem.

Typical architecture

CAPACITY PLANNING OVERVIEW:

  ┌─────────────────────────────────────┐
  │         Capacity Planning                  │
  │                                     │
  │  Core principles and components     │
  │  would be illustrated here          │
  │                                     │
  └─────────────────────────────────────┘

Pros and cons

Advantages

  • Provides structured approach to solving common problems.
  • Enables consistent implementation across teams.
  • Draws on proven industry practices.

Trade-offs

  • Requires investment in tooling and process.
  • May introduce additional complexity in simple scenarios.

Implementation notes

When implementing capacity planning, start with the core patterns and incrementally adopt more advanced techniques as your needs grow. Always validate against your specific requirements and constraints.

Further reading