Explanation:
Auto Scaling automatically adjusts the number of ECS instances based on changes in demand or conditions. During sudden spikes in traffic, Auto Scaling can quickly provision additional instances to handle the increased load. This ensures that the system can efficiently manage traffic peaks and maintain a consistent user experience by dynamically scaling resources up or down as needed.
Explanation:
Server Load Balancer (SLB) automatically distributes incoming traffic across multiple ECS instances, ensuring that the workload is evenly distributed and each instance can handle its share of the traffic. SLB can detect changes in traffic patterns and adjust routing accordingly, dynamically scaling resources up or down as needed to maintain performance and availability. This helps manage varying traffic levels without the need for manual intervention.
Explanation:
Server Load Balancer (SLB) can help mitigate DDoS attacks by distributing incoming traffic across multiple backend servers, thereby reducing the impact of a large volume of malicious traffic targeting a single server. SLB can detect and filter out abnormal traffic patterns associated with DDoS attacks, helping to ensure the availability and performance of the backend servers even during an attack.
Explanation:
Server Load Balancer (SLB) distributes incoming traffic across multiple ECS instances to ensure high availability and fault tolerance. By deploying multiple lower-configuration I/O-optimized ECS instances behind an SLB, you can evenly distribute the workload and handle traffic spikes effectively. SLB monitors the health of ECS instances and automatically routes traffic to healthy instances, improving the reliability and availability of your application or service.
Explanation:
Elastic Compute Service (ECS) is a core computing service offered by Alibaba Cloud, providing scalable and on-demand virtual servers for running applications and hosting websites. ECS allows users to deploy and manage virtual machines (instances) with flexible configurations, enabling them to quickly scale computing resources according to their needs.
Explanation:
In Alibaba Cloud OSS (Object Storage Service), the bucket name cannot be changed after creation. Once a bucket is created, its name is immutable and cannot be modified. This is because the bucket name is used as part of the unique identifier for accessing the bucket's contents, and changing it could potentially disrupt existing applications or workflows that rely on the bucket's name.
Explanation:
Alibaba Cloud does not support intranet communication between products (such as ECS instances, ApsaraDB for RDS, and OSS instances) that are not in the same region. This means that ECS instances and other products in different regions cannot communicate with each other on the intranet.
Explanation:
SLB (Server Load Balancer) helps distribute incoming traffic across multiple ECS instances, ensuring load balancing and redundancy. Auto Scaling automatically adjusts the number of ECS instances based on fluctuating traffic demands, allowing your system to efficiently handle traffic peaks and troughs. By combining SLB and Auto Scaling, your system can dynamically scale resources up or down in response to traffic changes, maintaining performance and availability even during unpredictable traffic oscillations.
Explanation:
Without knowing the weight settings of the remaining 4 ECS instances, we cannot determine how the traffic will be distributed among them. The weight setting determines the proportion of traffic that each backend ECS instance receives. Therefore, without this information, we cannot accurately predict the distribution of traffic among the instances.
Explanation:
The term "Elastic" in ECS refers to the ability to dynamically adjust computing resources such as CPU, memory, and storage to accommodate changing workloads and demands. However, there isn't a specific feature called "Elastic Administration" within ECS. The other options, Elastic Computing, Elastic Storage, and Elastic Network, are indeed relevant features offered by ECS, allowing for flexible scaling and management of computing resources, storage capacity, and network configurations.
Explanation:
Pay-As-You-Go billing allows users to pay only for the resources they consume, based on usage. For a service with relatively fixed traffic like an online ticket booking service, Pay-As-You-Go billing ensures that costs align closely with actual usage. Since the traffic is relatively fixed, there may not be a need to prepay for resources upfront. Pay-As-You-Go provides flexibility and cost-effectiveness, especially when there are predictable traffic patterns.
