Help Center/ Cloud Container Engine_Autopilot/ Service Overview/ Applications Scenarios
Updated on 2024-12-18 GMT+08:00
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Applications Scenarios

O&M and Iterations of SaaS/Enterprise Platforms

CCE Autopilot is ideal for SaaS and enterprise platforms, especially for enterprises who have large resource pools that need to be iterated frequently. Traditionally, you need to handle your own O&M and upgrades, which drive labor costs through the roof. The automated O&M of CCE Autopilot puts an end to this issue. Internet finance enterprises have demanding compliance requirements. Traditionally, it is hard to develop compliance capabilities for OSs. CCE Autopilot simplifies node management and improves system security and compliance. This enables you to focus better on the innovation and development of core services.

Figure 1 Resource management comparison between the traditional mode and the automated mode

Efficient, Auto Scaling of Services

For Internet entertainment, social networking, and ride-hailing, CCE Autopilot provides auto scaling to dynamically adjust resource configurations based on service characteristics and predicted traffic during traffic bursts. Unlike traditional scheduled scaling, CCE Autopilot scaling ensures efficient matching of resources to service requirements. This type of auto scaling allows you to optimize your enterprise's cost structure and reduce resource waste while still maintaining service continuity.

Figure 2 Resource scheduling comparison between the traditional mode and the automated mode

Cost Optimization Configuration

CCE Autopilot offers enterprises with cost optimization requirements a range of flexible resource configuration options. It meets requirements for affordable learning and adaptable resource configurations, and also supports automatic service scaling to adapt to rapid service growth. With CCE Autopilot, start-ups can enjoy high-performance and reliable services, even when their resource needs are minimal. As their services grow, resources can be scaled to ensure cost-effectiveness and service continuity.

Figure 3 Resource configuration comparison between the traditional mode and the automated mode