OBSERVABILITY Signal 178
August ClickStack update adds dashboard variables, PromQL support, and LLM observability
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The August ClickStack update brings dashboard variables, chart formulas, PromQL support, a metrics browser, LLM observability, and improvements to alerting and tracing.
This update enhances observability features, making it easier for users to create and manage dashboards with more complex queries. The addition of PromQL support allows teams to leverage existing Prometheus metrics without rewriting queries, streamlining the transition to ClickStack for observability tasks.
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Dashboard variables enable dynamic referencing in tile queries, improving filter functionality.
PromQL support allows existing Prometheus users to integrate their metrics into ClickStack without significant changes.
Alerting enhancements include increased notification targets and a more detailed evaluation history for better monitoring.
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The August ClickStack update introduces significant enhancements, particularly with dashboard variables and PromQL support. Dashboard variables allow users to reference filter selections in various query contexts, enhancing flexibility and usability in dashboard creation and management. This change streamlines the process of building comprehensive observability dashboards that aggregate metrics, logs, and traces more effectively.
PromQL support is critical for teams already utilizing Prometheus, as it minimizes the need to adapt existing queries significantly. By offering a TimeSeries engine that supports PromQL, ClickStack enables these teams to leverage their current configurations and collectors, making integration smoother. However, while this feature is in private preview, full PromQL coverage and visual query builders are not yet available, which may limit immediate adoption for some users.
The update also includes substantial improvements to alerting capabilities, such as the ability to set up to ten notification targets per alert and richer webhook payloads. These enhancements were made directly in response to user feedback, indicating a strong focus on community-driven development. However, users may need to assess how these changes fit into their existing alerting workflows and whether they require additional adjustments to fully utilize the new features.
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