
This guide introduces a radically different approach to data pipeline alerting, one that actually understands your pipelines well enough to know what matters and what doesn't.


Why traditional monitoring tools generate so much noise, and how disconnected alerting systems destroy trust in your production data
The gains of alerts living inside your pipeline platform 0 context, history, and intelligence to separate failures from false positives
How Tracer combines AI-powered alert filtering with seamless Slack integration and full audit trails
The specific pipeline events worth waking up for (hint: it's fewer than you think), and how opinionated defaults cut noise by 80%
Fast triage in Slack for the urgent stuff, deep investigation in the UI for everything else - finally, the right tool for each job
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Tracer is the first pipeline monitoring system purpose-built for high-compute workloads that lives in the OS.
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