Auto-Scaling
Auto-Scaling is a feature that allows resources (such as virtual machines or containers) to automatically increase or decrease in response to changes in traffic or demand.
In GCP, you can set up auto-scaling for your managed instance groups, ensuring that the right number of instances are available to handle incoming requests.
Primary Goal of Autoscaling: The primary goal of auto-scaling is to ensure that the proper amount of computing resources are available at any given time, optimizing overall performance and cost-efficiency. Google Cloud Platform (GCP) presents auto-scaling talents through services like Compute Engine, Google Kubernetes Engine (GKE), and App Engine.
Example:
In the following diagram, Auto Scaling groups have a minimum of 1 instance, 2x the required capacity, and a maximum of 4x. The scaling rule you define sets the minimum and maximum number of events based on the events you specify.
Other Reference: Balancer – System Design Interview Question
Load Balancing in Google Cloud Platform
Load balancing is an essential issue of contemporary cloud computing infrastructure. It is used to distribute incoming community site visitors across more than one asset (together with virtual machines or packing containers) to make sure that no single resource will become overloaded. In the Google Cloud Platform (GCP), load balancing performs a critical position in enhancing the reliability, availability, and performance of programs and offerings.
Important Topics for Load Balancing in Google Cloud Platform
- Why Load Balancing is Required in GCP?
- How Load Balancing Works in Google Cloud Platform?
- Benefits and Features of Load Balancing in GCP:
- Global Load Balancing
- Regional Load Balancing
- Auto-Scaling
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