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DQL: Unify Your Data Query and Analysis
Debug Query Language (DQL) is a self-developed query language by Guance. It’s simple in syntax yet powerful in function. You can use it directly within the Guance platform or execute queries through a DQL client in command-line form.
DQL supports flexible data processing, including both single-type queries and aggregated queries, significantly reducing the user’s learning curve. The built-in DQL query terminal in the data collector allows you to directly query data and troubleshoot issues after data collection, without having to open the Guance platform.
DQL supports flexible data processing, including both single-type queries and aggregated queries, significantly reducing the user’s learning curve. The built-in DQL query terminal in the data collector allows you to directly query data and troubleshoot issues after data collection, without having to open the Guance platform.
DataFlux Func: Simplify Your self-defined Function Development, Execution, and Management
DataFlux Func is a data processing development platform that’s easy to use. There’s no need to build web services from scratch or manage server infrastructures. You only need to focus on implementing the “core code” of your business logic.
It supports multi-source data, enabling you to transform different types of monitoring data for rapid integration. You can quickly write code, publish it, and streamline application development. It also supports the use of monitoring data with AI algorithm models to achieve advanced forecasting and anomaly detection. Official script packages are provided to save you from starting scripts from scratch every time, effectively boosting development efficiency.
It supports multi-source data, enabling you to transform different types of monitoring data for rapid integration. You can quickly write code, publish it, and streamline application development. It also supports the use of monitoring data with AI algorithm models to achieve advanced forecasting and anomaly detection. Official script packages are provided to save you from starting scripts from scratch every time, effectively boosting development efficiency.
Custom Labels for Easy Data Correlation
By adding global labels, you can differentiate hosts, projects, environments, and more, enabling data correlation, querying, and analysis. The power of labels depends on your creativity.
Setting labels at the infrastructure level means all components on that infrastructure will inherit the label by default. For example, adding grouping labels to servers lets you distinguish among different project resources.
When business or IT system issues occur, you simply add a “responsible person” label to the relevant observability configuration. Then, by setting this label as a variable in monitoring, Guance can automatically identify and send alert notifications.
Setting labels at the infrastructure level means all components on that infrastructure will inherit the label by default. For example, adding grouping labels to servers lets you distinguish among different project resources.
When business or IT system issues occur, you simply add a “responsible person” label to the relevant observability configuration. Then, by setting this label as a variable in monitoring, Guance can automatically identify and send alert notifications.
