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Josh Braun

Design Lead at Dagster Labs

We recently shipped a new Asset Health dashboard in Dagster+. It’s a single place for data platform teams to keep tabs on the state of every asset across their organization. It's a powerful new tool to monitor execution failures, data quality problems, and freshness issues. As data orchestration becomes more asset-oriented and event-driven, the classic pipeline timeline view becomes less useful for monitoring. It helps you understand when things ran, but doesn’t paint a clear enough picture of the current state of the data assets you’ve built. For example, you probably don’t care much about failures that automatically recovered; but you DO care about datasets that are overdue or failing critical quality checks. You might set up alerts for this, but they often end up spamming a Slack channel that half the team has already muted. Asset Heath is designed to be the first place a data team goes on Monday morning. Its purpose is to strip away the noise, and help data practitioners quickly discover and diagnose issues with the datasets they’re responsible for. It's available now for Dagster+ customers.

Sanidhya Singh

Staff Software Engineer @ Moody's | Cyber Risk Modeling

3mo

Looks great! Any chance this comes to the open source version as well?

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Pedram Navid

Chief Dashboard Officer @ dagster

3mo

so beautiful 🥹🥹

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