In a world where event volume is growing at an unprecedented rate, you have more data and noise than ever before. But this extra data doesn’t guarantee that 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.

By taking a 'crawl, walk, run' approach, AWS and PagerDuty can help you leverage AIOps best practices like noise reduction and event-driven automation to improve your incident response. In this webinar, you’ll learn:

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

Key Takeaways:

You have more data than ever. AIOps can help you find the signal in the noise, triage effectively and eliminate toil from incident response.