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Cloud Computing Intermediate

What is Auto Scaling?

Automatically adjusting the number of computing resources based on current demand to maintain performance and optimize costs.

Auto scaling adds servers when demand increases and removes them when demand decreases. This ensures applications handle traffic spikes without manual intervention and avoids paying for idle resources during quiet periods.

Scaling can be horizontal (adding more instances) or vertical (increasing instance size). Policies are based on metrics like CPU usage, request count, or queue depth. Cloud providers offer managed auto-scaling groups.

Related Terms

Cloud Load Balancer
A managed service that distributes incoming network traffic across multiple servers to ensure high availability and optimal resource utilization.
Edge Computing
A distributed computing paradigm that processes data near the source of generation rather than in a centralized cloud data center.
Object Storage
A storage architecture that manages data as objects with metadata and unique identifiers, ideal for unstructured data at scale.
PaaS (Platform as a Service)
A cloud service model that provides a platform for developers to build, deploy, and manage applications without managing infrastructure.
Cloud-Native
An approach to building applications that fully exploit cloud computing advantages like scalability, resilience, and flexibility.
Spot Instance
Discounted cloud compute instances that use spare capacity at significantly lower prices but can be interrupted with short notice.
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