Advantages

Out-of-the-box usability

• Installs and deploys Kubernetes and cloud products in a few clicks.
• Connects to various application components and alarm tools in a few clicks.

Low cost

• Multiple metrics, including those of standard Kubernetes components, are free of charge.
• Provides fully hosted services and eliminates the need to purchase additional resources, reducing monitoring costs and generating almost zero maintenance costs.
• Integrates with CCE for monitoring services, reducing the time for creating a container monitoring system from 2 days to 10 minutes. A Prometheus instance for CCE can report the data of multiple CCE clusters.

Open-source compatibility

• Supports custom multi-dimensional data models, HTTP API modules, and PromQL query.
• Monitored objects can be discovered through static file configuration and dynamic discovery, facilitating migration and access.

Unlimited data

• Supports cloud storage. There is no limit on the data to store. Distributed storage on the cloud ensures data reliability.
• Supports the Prometheus instance for multi-account aggregation. Therefore, metric data of multiple accounts can be aggregated for unified monitoring.

High performance

• Is more lightweight and consumes fewer resources than open-source products. Uses single-process integrated Agents to monitor Kubernetes clusters, improving collection performance by 20 times.
• Deploys Agents on the user side to retain the native collection capability and minimize resource usage.
• Uses the collection-storage-separated architecture to improve the overall performance.
• Optimizes the collection component to improve the single-replica collection capability and reduce resource consumption.
• Balances collection tasks through multi-replica horizontal expansion to implement dynamic scaling and solve open-source horizontal expansion problems.

High availability

• Dual-replica: Data collection, processing, and storage components support multi-replica horizontal expansion, ensuring the high availability of core data links.
• Horizontal expansion: Elastic scaling can be performed based on the cluster sca