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Auto Scaling is a management service that can automatically adjust elastic computing resources based on your business needs and policies. This service can automatically adjust ___________.
Auto Scaling in Alibaba Cloud is designed to automatically adjust resources, such as ECS instances, based on the demand and scaling policies. This works best with applications that are stateless and horizontally scalable, as these applications do not rely on data stored locally on an instance, allowing them to scale in and out without affecting performance or user experience. Statelessness and horizontal scalability allow Auto Scaling to manage ECS instances efficiently without manual intervention.
Alibaba Cloud VPC utilizes tunneling technology. Each VPC has a unique tunnel ID, and a tunnel ID corresponds to a virtual network. As a result, VPC can achieve a similar isolation effect as that of a traditional VLAN.
Alibaba Cloud VPC uses tunneling technology with unique tunnel IDs to create isolated virtual networks that offer similar isolation capabilities as VLANs in traditional networks. This allows each VPC to function as an independent, secure network environment within the cloud, ensuring traffic separation and resource isolation.
Which of the following statements is NOT correct, when comparing RDS with a self-built database?
The statement A is not correct, because self-built databases do not support quick deployment and elastic scaling. On the contrary, self-built databases require hardware procurement, data center hosting, and machine deployment, which can be time consuming and costly. Moreover, self-built databases have low resource utilization, as they have to accommodate peak traffic requirements, while RDS can scale elastically according to the actual demand. Reference: = ApsaraDB for RDS vs. Self-built Databases - Alibaba Cloud
When using Auto Scaling, you want to add or remove ECS instances based on the utilization rate of computing resources. For example, you want to remove one ECS instance when the average CPU utilization rate is not greater than 30%. In this case, you need to set the scaling rule ''Remove 1 ECS instance'' and ____________ to finish the configuration.
An event-triggered task is necessary when creating scaling rules based on specific metrics such as CPU utilization. This allows Auto Scaling to monitor real-time metrics and trigger scaling actions when thresholds are met. Scheduled tasks, by contrast, are based on specific times rather than performance metrics.
You are designing a solution for a startup company, the proposed solution is like this You suggest they use ECS instances to process requests from mobile App clients, and use SLB to distribute data traffic and ensure the load across each backend ECS instance is balanced.
Moreover to deal with volatile fluctuations in business volume (page views are much higher on the weekends), you also suggest they use Auto Scaling to dynamically increase or reduce computing resources.
The company is satisfied with the solution you proposed. However, they have one concern that when removing an idle instance from the scaling group: if Auto Scaling shuts the instance down directly, the service running on that instance will be abruptly terminated, resulting in poor user experience.
In order to eliminate your customer's concern, which of the following solutions should you recommend them?
According to the Alibaba Cloud Auto Scaling documentation1, the Lifecycle Hook feature allows you to perform custom operations on instances that are added to or removed from a scaling group. You can define a lifecycle hook to specify a timeout period and a web hook URL. When an instance is about to be removed, Auto Scaling sends a notification to the web hook URL and waits for a response. During the timeout period, you can perform the necessary operations on the instance, such as gracefully shutting down the service, backing up the data, or sending a custom notification. After the operations are completed, you can send a response to the web hook URL to confirm the removal of the instance. This way, you can ensure that the instance is removed without affecting the user experience or causing data loss. Therefore, option D is the best solution to eliminate the customer's concern. Reference: Lifecycle hooks and Alibaba Cloud Auto Scaling.
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