In a world where event volume is growing at an unprecedented rate, you have more data and noise than ever. But this extra data doesn’t mean responders are armed with the information they need to resolve incidents. With customer expectations at an all-time high, slow, manual incident response puts revenue and reputation at risk. And teams faced with too much noise, complexity, and toil suffer from long resolution times, painful triage, and reduced productivity.

AWS and PagerDuty can help you leverage AIOps best practices like noise reduction and event-driven automation in a crawl, walk, run approach towards better incident response. In this webinar, you’ll learn:

• The lifecycle of an AWS observability/monitoring alert within PagerDuty
• How to identify and reduce events that are noisy or distracting during incident response
• Basic uses cases where respondents can leverage automation to enrich incident data
• How to identify familiar resolution scenarios that are candidates for auto-remediation