Monitoring, Detection, and Incident Management
Abstract
In the cloud, speed and visibility go hand in hand—and this chapter shows readers how to achieve both. It begins with the fundamentals of logging and telemetry, outlining what to collect, how to store it securely, and how to make sense of it at scale. Readers will gain a thorough understanding of what effective monitoring looks like in distributed, hybrid, and multicloud environments where assets spin up and disappear in minutes. The chapter moves into threat detection strategies, highlighting how real-time correlation, context-aware alerting, and behavioral analytics are reshaping how cloud incidents are identified and escalated. With coverage of incident response workflows, automated playbooks, security orchestration, automation, and response (SOAR) platforms, and post-incident root cause analysis (RCA), the chapter equips readers to manage incidents with agility and precision. It also discusses how to measure effectiveness through key performance indicators (KPIs) like mean time to detect (MTTD) and mean time to respond (MTTR). Readers will leave with a playbook for building a responsive, resilient cloud security monitoring and incident management strategy that can evolve with their threat landscape.
Fields of Study & Subjects
Network Security and Intrusion Detection
Software System Performance and Reliability
Cloud Computing and Resource Management
Publication details
- Pages
- 95–112
- Publication date
- 5 February 2026
- Language
- EN