PagerDuty announced the integration of the PagerDuty Operations Cloud with Snowflake Trail, a rich set of observability capabilities unveiled today by Snowflake.
By integrating the PagerDuty Operations Cloud with Snowflake Trail, joint customers can take a proactive approach to managing incidents that can deliver more resilient operations over time.
Snowflake Trail is built with OpenTelemetry and open standards so developers can integrate with popular observability and alert platforms, including PagerDuty’s comprehensive incident management platform. The combination of PagerDuty and Snowflake enables teams to quickly identify and resolve issues related to data infrastructure, data quality, AI operations and at the same time manage software costs.
“A proactive approach to managing large amounts of data requires digital operations management including triaging and real-time communication of data operational issues,” said Julia Fare, vice president of partnerships at PagerDuty. “Our expanded integration with Snowflake helps organizations enhance their data operations and further unlock the potential of their data infrastructures.”
The PagerDuty Operations Cloud automatically detects and diagnoses disruptive events, mobilizes the right team members to respond and automates infrastructure and workflows across an organization’s digital operations. By utilizing the PagerDuty Operations Cloud and Snowflake Trail, organizations can improve their operational efficiency, reduce downtime and ensure they effectively communicate with key stakeholders on important metrics that matter in real-time.
“Snowflake’s mission is to ensure that organizations can get the most value out of their data,” said Jeff Hollan, Head of Applications and Developer Platform at Snowflake. “By bringing the PagerDuty Operations Cloud into Snowflake Trail, organizations are better equipped to proactively identify quality issues before the data is ingested into critical systems, making it easier to quickly flag alerts as incidents, ultimately enabling organizations to run more effectively.”
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