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Kyligence provides enterprise-grade operation support, helping companies improve the efficiency of operation and maintenance management.
Kyligence provides an on-premise deployed enterprise-grade operation and maintenance platform. Companies can easily implement one-stop operation and maintenance of all Kyligence products, drastically reducing the difficulty of operation and maintenance and improving the efficiency of the operation team.
Multi-dimensional monitoring of the health level of Kyligence services, node resources, and system components; providing real-time warnings to ensure the system run smoothly.
Provide model statistics and query statistics functions to help users understand the data model usage from different indicator dimensions, and optimize resource allocation accordingly.
Provide a two-node highly available deployment model to avoid the possible impact of software and hardware failures and ensure business continuity without interruption.
Kyligence provides a visual user interface (UI) for customers to install its products, drastically reducing the difficulty of on-premise deployment.
The UI can also help the operation team quickly locate problems and boost operation efficiency.
Kyligence integrates ClickHouse to achieve all-inclusive OLAP coverage while providing ClickHouse operation&management, simplifying on-premise deployment, monitoring, and operation and maintenance of ClickHouse clusters, lowering the threshold for using tiered storage functions, and accelerating the deployment of more query scenarios.
The multi-cluster management feature helps companies share the same system or program components with multi-tenant isolation.
Kyligence allows the isolation of queries and index building jobs between different business departments. By isolating resource groups at the project level, different departments can work independently without any interference while keeping the critical business away from any downtime.
Kyligence supports both exclusive and shared resource groups, and enables the scale-out of the resource group and instances, which results in improved stability of the clusters and utilization of resource groups.
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