Better chart validation feedback and filter for datasets in dashboards

We’ve been hard at work improving the core query experience and fixing some key usability issues. Last week’s updates focused on making your data exploration faster, more reliable, and more intuitive.

Chart input validation now provides clearer visual feedback. When a chart validation rule fails, you’ll see a red cross instead of a grey checkmark. This makes it easier to understand what needs to be fixed when building dashboard elements.

The improved visual cues help you quickly identify and resolve chart configuration issues, making dashboard creation more intuitive and efficient.

We’ve added documentation for filtering datasets in dashboards. This feature allows you to select specific datasets, and the dashboard only shows data from the dataset you choose.

The example APL query below defines a chart that only displays data from the specified dataset, making it easier to create focused, purpose-built dashboards for different use cases.

declare query_parameters (dataset_filter:string = "");
table(dataset_filter)
| summarize count() by bin_auto(_time)

Check out the updated documentation to learn more about this powerful dashboard organization feature.

Our metrics querying capabilities continue to progress well behind the scenes. We’ve been working hard to integrate the metrics query experience directly into the Axiom Console, bringing you a unified interface for both logs and metrics analysis.

With MetricsDB, you’ll be able to:

• Query metrics alongside your log data in a unified interface
• Create monitors and alerts based on your metrics data
• Create dashboards that combine logs and metrics seamlessly

The development is advancing smoothly, and we’re on track to make this feature available for public preview this calendar month. If you’re interested in being one of the first organizations to get onboarded with metrics querying in Axiom, please contact us to express your interest in being part of the private preview.

• Fixed dataset library loading issues
• Enhanced Vercel integration with request duration metrics
• Improved payment method API responses for better error handling
• Fixed dataset list performance issues that could cause interface lockups
• Better handling of missing datasets with graceful error recovery