sdl-dashboard

You can create and deploy a Singularity Data Lake dashboard by authoring the dashboard JSON, validating it with the provided Python script, and deploying it using the sdl-api skill's put_file method to push the file to your SDL tenant.

SDL dashboards support line, bar, pie, table, number, timeline, honeycomb, and markdown panel types for security operations data visualization, allowing you to design everything from single panels to complex multi-tab SOC dashboards.

You validate an SDL dashboard by running the validate_dashboard.py Python script, which checks your dashboard configuration for errors and generates an evidence report for review and auditing prior to deployment.

Yes, the sdl-dashboard skill requires collaboration with the sdl-api skill to handle the actual file deployment to the tenant, and the powerquery skill to assist with the underlying query optimization and schema discovery.

Yes, the sdl-dashboard skill automates the process of dashboard validation and evidence generation using Python scripts, enabling you to debug configurations and verify schema discovery before finalizing your deployment.

The best way to design a multi-tab SOC dashboard is to utilize the schema discovery feature, apply query optimization performance rules, and author the complete layout in a JSON file before validating and deploying it.