Automate data monitoring and observability with Monte Carlo and Pagerduty

Monte Carlo’s data observability platform automates monitoring and anomaly detection for your data pipelines, protecting against issues related to data freshness, volume, distribution or schema. By coupling proactive alerting with end-to-end observability, data teams get alerted to data issues as soon as they happen. Monte Carlo enables teams to assess the downstream business impact and work quickly to resolve these issues. Use PagerDuty with Monte Carlo to alert on-call responders as soon as data issues arise in order to prevent Data Downtime.

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Benefits of Monte Carlo and PagerDuty Integration

  • Know When Data Breaks – As Soon as it Happens.

    Monte Carlo uses ML to proactively identify data breakages, assess the business impact, and notify those who need to know.

  • Find the Root Cause and Fix the Issue, Fast.

    Automatically and immediately identify the root cause of data issues, allowing you to collaborate and resolve them faster.

  • Prevent Data Downtime.

    Get a bird’s eye view of your pipelines and their dependencies in one place, automatically — no manual input needed.

Learn More About Monte Carlo

Monte Carlo was founded to help organizations deliver on the promise of data. We’re committed to making data reliable. We’re committed to making the lives of our customers easier. And we’re committed to working with the broader data community to realize the full potential of data.

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