Datadog's incident management process is designed to handle complex and dynamic systems. The company relies on a culture of resilience, blameless organizational accountability, and extensive structure and planning to manage incidents. Monitoring systems in real-time using tools like Datadog Incident Management, Teams, Service Catalog, and Workflow Automation enables teams to quickly identify and respond to issues. The incident management process involves identifying incidents, declaring them, triaging them, coordinating response efforts, guiding remediation, communicating with stakeholders, and declaring stabilization and resolution. Building resilience and maintaining transparency through regular training, analysis of lessons learned from incidents, and the use of tools like Datadog Notebooks are essential to the company's approach. Key metrics used to gauge success include low rates of recurrence, increasing levels of incident complexity, decreased time to detection, low rate of spurious alerts, and qualitative surveys for incident responders. The goal is to ensure that systems are steered towards greater reliability through effective monitoring, a proactive culture around incident management, and the development of purpose-built tools.