As Digital Operations Becomes Central to Business Success, PagerDuty Announces New Machine Learning Capabilities to Reduce Outages and Associated Costs
Summary
Today, it takes companies an average of 80 minutes to coordinate response teams to solve a customer-impacting issue, such as a failed shopping cart or broken web page1. PagerDuty’s new solutions are expected to help reduce that to as little as five minutes by providing automation to get the right people working together, with the right information, to more quickly triage issues when seconds count. By immediately arming teams with this knowledge, PagerDuty helps organizations pull together the right people, with the right information, to solve problems faster, minimizing the cost of downtime and preventing poor customer experiences. Its Spotlights recommendation engine leverages 10 years of machine and human response data to give teams context for improvements, such as stopping unactionable alerts and recognizing repeat issues. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future.
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