Scaling Deployment in Advance
If you know the time for scaling, you can set an Auto Scaling scheduling policy. At the corresponding time, the system automatically adds or removes the CVM instance without human effort.
Cost-Effective Handling of Business Surges
When the traffic arises, you need to prepare servers in advance to prevent server overload caused by the surge in CPU usage. When the traffic decreases, you need to reduce servers according to actual load. With the Auto Scaling policy configured in advance, the system automatically determines whether to trigger CVM parallel scaling according to the set service monitoring metrics. When the monitoring metrics reach the threshold, CVM instances are automatically added or removed, and the cloud load balancer configuration is automatically implemented. This reduces the cost and does not require customers to prepare for manual scale-out constantly.
Automatic Replacement of Unhealthy CVMs
To prevent your business from being affected by unhealthy CVMs, you need to constantly monitor the operation status of CVMs in the system and be ready to handle the problem at any time. With Auto Scaling, the system regularly performs health checks on CVMs. When the system detects an exceptional CVM instance, it automatically performs parallel scales for a new instance to replace the exceptional instance. The operation record is kept for the user to view.