Monte Carlo announced the availability of its integration with PagerDuty to bring visibility to data pipelines and foster greater collaboration across data teams.
With Monte Carlo joining PagerDuty’s Integration Partner Program, PagerDuty customers can now achieve Data Observability across every stage of the data lifecycle, from ingestion to analytics.
Monte Carlo is an end-to-end solution that enables data teams to seamlessly monitor the health of their data assets by applying the proven principles of application observability to data. Simultaneously, Monte Carlo provides CDOs and other data stakeholders with a holistic view of their company’s data health and reliability across critical business use cases, building trust in data and empowering better decision-making.
“PagerDuty is dedicated to helping professionals achieve reliability across their software and data ecosystems,” said Steve Gross, Senior Director, Global Technology Ecosystem, PagerDuty. “Through this integration, our customers will benefit from automated data monitoring, end-to-end lineage, and root cause analysis through data observability.”
Customers rely on Monte Carlo to automate monitoring and anomaly detection for their data pipelines by proactively surfacing issues related to data freshness, volume, distribution, schema, and lineage. With this new partnership in place, when issues are detected, alerts can be sent to PagerDuty in real time and delivered to the appropriate team or individual to take action, bringing more visibility and seamless collaboration across teams.
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