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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 Monitoring
Services that collect, analyze, and alert on metrics, logs, and traces from cloud infrastructure and applications.
IAM (Identity and Access Management)
A framework for managing digital identities and controlling who can access which cloud resources and services.
Cloud Function
A serverless compute service that runs code in response to events without requiring server management or infrastructure provisioning.
Azure
Microsoft's cloud computing platform offering IaaS, PaaS, and SaaS services for building, deploying, and managing applications.
PaaS (Platform as a Service)
A cloud service model that provides a platform for developers to build, deploy, and manage applications without managing infrastructure.
Kubernetes Pod
The smallest deployable unit in Kubernetes, consisting of one or more containers that share storage, network, and lifecycle.
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