Auto Scaling

Q: As a core Cloud Elastic Scaling Service, how does Auto Scaling simultaneously fulfill the dual requirements of On-Demand Auto Scaling and Auto Scaling for Traffic Spikes?

A: Auto Scaling meets these dual requirements through two core strategies, fully demonstrating the flexibility of the Cloud Elastic Scaling Service. First, On-Demand Auto Scaling relies on the alarm-based scaling function. Users can define custom thresholds for metrics like CPU and memory. When business load reaches these thresholds, Auto Scaling automatically adds or removes CVM instances. This mechanism is the core embodiment of On-Demand Auto Scaling and can also respond rapidly to sudden traffic, realizing Auto Scaling for Traffic Spikes. Second, for predictable traffic fluctuations, the scheduled scaling function supports planning resource adjustments by day/week/month, completing scale-out in advance to handle anticipated peaks. This is also an important method for Auto Scaling for Traffic Spikes. Furthermore, the automation characteristic of the Cloud Elastic Scaling Service ensures that both these On-Demand Auto Scaling modes operate without manual intervention throughout the process, perfectly adapting to the traffic change patterns of different businesses.

Q: High Availability Auto Scaling is a key advantage of Auto Scaling. Through which specific features does the Cloud Elastic Scaling Service guarantee this characteristic?

A: The High Availability Auto Scaling advantage of Auto Scaling is deeply implemented through multiple features, highlighting the reliability of the Cloud Elastic Scaling Service. Firstly, the core "Replace Unhealthy Instance" function continuously monitors CVM instance status. Once an abnormality is detected, it immediately replicates a healthy instance for replacement. This is the core guarantee for High Availability Auto Scaling. Secondly, Auto Scaling can automatically associate with Load Balancer (CLB). Newly added instances are automatically registered to share the traffic load, avoiding single points of failure and further strengthening High Availability Auto Scaling capabilities. Simultaneously, the On-Demand Auto Scaling mechanism ensures the business always has sufficient computing capacity. Combined with the rapid scale-out capability of Auto Scaling for Traffic Spikes, even when facing sudden traffic or instance failures, the coordinated operation of the Cloud Elastic Scaling Service ensures smooth business operation, integrating High Availability Auto Scaling throughout the entire resource management process.

Q: After an enterprise chooses the Cloud Elastic Scaling Service, how do On-Demand Auto Scaling and Auto Scaling for Traffic Spikes work together to reduce costs and improve efficiency?

A: Their synergistic effect empowers enterprises in both cost and efficiency dimensions, highlighting the core value of Auto Scaling. On one hand, On-Demand Auto Scaling ensures resource allocation precisely matches business load, automatically reducing idle instances during business lulls to avoid resource waste. Meanwhile, Auto Scaling for Traffic Spikes enables rapid scale-out during traffic surges, eliminating the need to reserve large amounts of redundant resources in advance, significantly reducing hardware investment costs. On the other hand, the automation nature of the Cloud Elastic Scaling Service means both On-Demand Auto Scaling and Auto Scaling for Traffic Spikes require no manual operation. This reduces operational labor costs and avoids delays from manual adjustments. Especially for scenarios with drastic traffic fluctuations like flash sales or live-streaming commerce, Auto Scaling for Traffic Spikes can complete scale-out within minutes, and On-Demand Auto Scaling promptly scales in after the peak passes. This makes Auto Scaling a key tool for enterprises to reduce costs and increase efficiency. Additionally, the stable support of High Availability Auto Scaling prevents business losses caused by insufficient resources or instance failures.