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Production incidents are inevitable. When systems fail, how effectively your team responds can mean the difference between a minor disruption and a major outage. Datadog Incident Management gives you a central place to declare, track, and manage incidents from detection to resolution. 

In this course, you'll work through a realistic incident scenario at a fictional e-commerce company, Storedog. You'll configure monitor notifications and incident notification rules so the right people are alerted when issues arise. When high error rates hit two services, you'll declare an incident, investigate the root cause, and share your findings with your team through the incident workbench and timeline. After resolving the incident, you'll generate an AI-powered postmortem and review incident analytics. From there, you'll identify improvements to your incident response process—configuring a status page and setting up incident automations.

By the end of this course, you will be able to: 

• Describe the key phases of the incident management lifecycle, from detection and declaration through resolution and post-incident analysis.
• Configure monitor notifications and incident notification rules to ensure the right people are alerted when issues arise.
• Declare incidents in Datadog in response to monitor alerts and assign appropriate severity levels, incident commanders, and response teams.
• Investigate incidents using APM and observability data to identify root causes, and share findings with your team via the incident workbench and timeline.
• Generate AI-powered postmortems and analyze incident metrics using dashboards to identify opportunities for process improvement.
• Configure status pages for stakeholder communication and create incident automations to trigger follow-up tasks automatically.