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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 Cost Optimization
Strategies and practices to reduce and control cloud computing expenses while maintaining performance and availability.
SaaS (Software as a Service)
A cloud delivery model where software applications are hosted and managed by a provider and accessed by users over the internet.
Edge Computing
A distributed computing paradigm that processes data near the source of generation rather than in a centralized cloud data center.
Kubernetes Pod
The smallest deployable unit in Kubernetes, consisting of one or more containers that share storage, network, and lifecycle.
SLA (Service Level Agreement)
A formal agreement between a service provider and customer defining guaranteed levels of service availability and performance.
Virtual Machine (VM)
A software-based emulation of a physical computer that runs its own operating system and applications.
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