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Free Online Flashcard Deck

3 Scalability and Elasticity Free Online FlashCards

Study 3 Scalability and Elasticity with 12 free online flashcards. Review key terms, definitions, and concepts with this interactive flashcard deck.

12 cards
01
Front

What does scalability mean?

Back

Scalability is a system’s ability to handle a growing workload by increasing capacity while continuing to meet performance requirements.

02
Front

What is vertical scaling?

Back

Vertical scaling, or scaling up, gives an existing server more resources, such as CPU or memory.

03
Front

What approach suits steady, long-term workload growth?

Back

For steady, long-term growth, plan for scalability by adding capacity or redesigning components as the workload grows.

04
Front

Why maintain baseline capacity while scaling out?

Back

Provisioning takes time, so maintain enough baseline capacity to serve demand while additional resources start.

05
Front

What does an EC2 Auto Scaling group do?

Back

An EC2 Auto Scaling group manages a group of instances and adjusts capacity according to configured scaling policies.

06
Front

What is horizontal scaling?

Back

Horizontal scaling, or scaling out, adds servers or other instances so work can be shared across more resources.

07
Front

What does elasticity mean?

Back

Elasticity is the ability to add capacity when demand rises and release it when demand falls, often automatically and quickly.

08
Front

How do scalability and elasticity differ?

Back

Scalability asks whether capacity can grow to handle more workload; elasticity asks whether capacity can adjust up and down as demand changes.

09
Front

How are elasticity and scaling related?

Back

Elasticity uses scaling mechanisms to adjust capacity as demand changes, so the concepts work together rather than oppose each other.

10
Front

How can a system be scalable but not elastic?

Back

A system may be scalable but not elastic if staff can add servers for growth but must remove them manually or leave them running after a temporary peak.

11
Front

How can a system handle short, predictable peaks?

Back

For short, predictable peaks, scheduled scaling can increase capacity before a known event and reduce it afterward.

12
Front

What approach suits unpredictable, rapidly changing demand?

Back

For unpredictable or rapidly changing demand, use demand-based elasticity with policies responding to useful workload signals.