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Managing the Noise |
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This course is optimal for individuals or teams that are ready for advanced noise reduction capabilities.
Get started today by emailing pdusupport@pagerduty.com
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Recommended prerequisites |
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None.
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1.5 Hours |
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Virtual Instructor-Led Training |
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Description |
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Course topics |
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Sending alerts to PagerDuty is easy - the real challenge is separating signal from noise and creating actionable insights from your data. Information overload is all too common and can convolute the true patterns happening in your systems, skew your data, and overwhelm responders. Our noise reduction functionalities filter and combat this noise so that you can focus on evaluating and taking action on the most important data. Learn how to apply both machine learning and rule-based approaches to organize related issues across complex systems into a single incident, reducing noise and centralized context to speed triage.
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- Introduction
- Noise Reduction
- Event Orchestration
- Intelligent Triage
- *other topics based on your package*
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Frequently asked questions |
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What is remote private training?
Private training sessions allow you to get courses delivered live and only to your company by a PagerDuty Technical Trainer. Private sessions are conducted via Zoom/Teams and are highly interactive giving you the opportunity to ask questions and participate in real-time. Private training sessions are a great option for companies with moderate to complex use cases, medium to large groups, or for those who simply learn better one on one.
How do I book a private training session?
Please send an email to pdusupport@pagerduty.com with the subject "Request for private training" and please include the details on which training you would like to book and for how many people.
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Can multiple people sit in on this session?
Yes, private sessions are great for medium to large groups (10-50 people).
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What materials are provided?
Course materials are provided after the session (course slides as a PDF), so students are able to reference them after the session.
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