CLS provides a great variety of chart types. You can use SQL to flexibly collect system and business metrics in logs and display them in charts. You can also save chart analysis results to dashboards for long-term monitoring.
Demo Environment
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Usage Path
Features
Use Path
Feature
Feature Description
Details
1. Create a dashboard
Creating Folders
Dashboards support the creation of folders to categorize and collapse dashboards for easier management.
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Creating a Dashboard
CLS supports multiple ways to create a dashboard:
Blank Dashboard: Create a blank dashboard, where users manually add charts and save configurations.
Import Dashboard: Import an existing CLS dashboard JSON file, which is exported from another dashboard.
Create from Dashboard Template (Recommended): CLS provides a rich collection of dashboard templates. You can select a suitable template based on your specific scenario and log content, enable it with one click, and automatically generate a dashboard.
Filters: support filtering the data of all charts on the dashboard by specifying the values of the fields.
Variables: enable users to set either static input or dynamically queried variable values, which can then be used as placeholders in search statements, titles, and texts.
As the most common type of data display, tables allow for structured data organization that facilitates comparison and analysis. They are suitable for most scenarios.
A time series chart requires the statistical data to include a time series field, organizing and aggregating metrics chronologically. It visually reflects the trends in metrics over time. It is suitable for scenarios such as tracking the daily occurrences of 404 errors over the past week.
A bar chart displays categorical data, providing an intuitive comparison of the magnitude of each category. It is suitable for categorical statistics scenarios, such as counting the occurrences of different error codes over the past day.
A pie chart describes the proportion of different categories, using the size of each sector to measure the share of each category. It is suitable for proportion statistics scenarios, such as analyzing the proportion of error codes.
An individual value plot describes a single, typically business-critical metric. It is suitable for tracking a single metric such as PV or UV over a day, week, or month.
A gauge chart describes a single metric, but unlike an individual value plot, it is typically used with thresholds to measure the status of that metric. It is suitable for scenarios with grading standards such as system health monitoring.
A map shows the geographic location of data through the position of graphics. It is generally used to display the distribution of data in different geographic locations. It is suitable for geographic statistics scenarios, such as analyzing the geographic distribution of attack IP addresses.
A Sankey diagram is a specific type of flow diagram used to describe the flow from one set of values to another. It is suitable for scenarios such as firewall traffic analysis between source and destination IP addresses.
A word cloud is a visual representation of text data, used to display the frequency of word occurrences. It is suitable for audit scenarios such as identifying frequent operators.
A heatmap is a statistical chart that represents data by coloring tiles. It is suitable for scenarios such as viewing the overall situation, detecting outliers, displaying differences between multiple variables, and examining whether any correlations exist among them.
A funnel chart is suitable for single-direction, single-path business processes. It displays metrics at each stage of the process and uses trapezoidal areas to represent the differences in business volume between consecutive stages.
A radar chart is used to visualize and compare multiple variables. It features several axes radiating from a central point, each representing a different data category or metric. Data points are plotted along these axes and then connected to form a polygon, illustrating the relationships and trends between data points.
A topology diagram intuitively displays relationships between nodes. In log analysis scenarios, it can be used to analyze call relationships between services, system architecture, and data flow direction.
Log-type charts allow you to save raw logs to a dashboard. You can view the analysis results on the dashboard page and easily access related logs without navigating to the search and analysis page.
Data conversion supports secondary processing of search results, including field type modification, chart field selection, and merged grouping. It can meet charting requirements without the need to modify SQL statements.
Charts support automatic unit conversion. After you select a base unit, the system automatically converts values to a higher-level unit when they meet the predefined conversion threshold. The conversion precision is configurable.
The custom interaction event feature of charts allows you to click chart content to trigger interaction events such as opening the search and analysis page, the dashboard page, or a third-party URL.
CLS supports dashboard subscription, which allows you to export dashboards as images and send them regularly via email, WeCom, and other methods to designated recipients. This feature can be used for dashboards that require sending daily, weekly, or monthly reports to a team.
Password-free sharing allows you to share a dashboard or chart with others for temporary viewing without login authentication, improving collaboration efficiency.
After you disable the global time, chart time is independently controlled and no longer changes with the global time. Different charts on a dashboard can have different time ranges, supporting richer comparison scenarios.
