A cloud system is elastic if it can automatically add or remove computing resources as demand changes. In plain terms, it stretches when traffic spikes and shrinks when demand drops.

Quick Scoop

  • Why it matters: elasticity helps keep apps fast and available during sudden surges, while avoiding paying for unused capacity.
  • Example: an online store can spin up extra servers during a holiday sale, then scale back afterward.
  • Key idea: elasticity is usually automatic and fast , reacting to short-term demand changes.

Elastic vs. scalable

  • Elasticity handles temporary or sudden changes in workload in real time.
  • Scalability is more about planned growth over time, like preparing for a steadily larger user base.

Simple way to think about it

If your cloud system is elastic, it behaves like a rubber band: it expands when needed and returns to normal when the pressure is gone.

If you want, I can also turn this into a one-line definition, a beginner- friendly explanation, or a comparison table with scalability.