building-dashboards

You can build Axiom dashboards by providing a service name and dataset, then using standardized chart patterns, APL templates, and scripts to generate and deploy the complete dashboard via the Axiom API.

The best way to migrate Splunk dashboards to Axiom is using built-in Splunk-to-Axiom migration guidance, which maps existing visualizations to reusable layout recipes and APL patterns for deployment.

Yes, you need curl and jq, along with awk and sed, because the deployment workflow coordinates with scripts that validate dashboard structures and orchestrate deployment through the Axiom API.

To set up SmartFilter configurations, apply the reusable layout recipes provided in the template library, enabling interactive filtering across services within your Axiom dashboard panels.

Yes, you can standardize multi-service oncall dashboards by using an intake-driven workflow that captures audience and golden signals, then applying standardized chart patterns for traffic, errors, and latency.

Available APL patterns include standardized templates that map to common dashboard questions covering traffic, errors, latency, and distributions, ensuring consistency across deployed Axiom dashboards.