Virtual Server Auto-Scaling

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Automatic Resource Scaling In/Out According to Demand

Virtual Server Auto-Scaling automatically creates or deletes Virtual Server according to the pre-determined term/schedule based on resource usage. This allows users to maintain reliable services and efficient operation of servers.

Overview

  • Easy Computing Environment Configuration

    Easy self-served configuration of computing environments is enabled using a web console, from launch configuration to creating/editing/deleting auto-scaling groups.

  • Flexible Usage

    Flexible usage of computing resources depending on the load and usage of the service. Users may schedule predictable resource usage for a specific time of the day and coordinate resources in preparation for temporary access of unspecified multiple users.

  • Higher Availability

    Virtual Server Auto-Scaling accommodates resources to the changing demand to ensure that the requested traffic is processed at all times. Users can enjoy enhanced application performance and availability.

  • Maximized Cost Effectiveness

    Only the required resources for the demand change is used, reducing any unnecessary cost. Flexible resource usage for the traffic increase/decrease during specific times, such as nighttime, weekends, or end of the month, helps customers maximize cost effectiveness.

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Service Architecture

User - VPC - Subnet - Load Balancer
  • Load Balancer → Auto-Scaling Group [many virtual servers (Add or remove servers based on load or custom conditions)] ↔ cloud monitoring

Key Features

  • Auto-Scaling provisioning
    1. Create images of servers that will run during operation of Virtual Server Auto-Scaling, using launch configuration
    2. Create auto-scaling groups, logical groups for Virtual Server coordination/management Set Load Balancer, minimum/maximum number of servers, and network for Virtual Server Auto-Scaling Set scale-in/out policies based on monitoring indicators Adjust server volume to a pre-set schedule
  • Auto-Scaling execution
    1. Automatically scale in/out based on the threshold set in the auto-scaling groups or according to the pre-reserved schedule

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