Abstract
This IBM Redpaper delves into the practical application of AI and automation within IBM Storage Insights, empowering you to optimize your storage environment through data-driven insights. From accurate capacity planning to detecting performance deviations and leveraging AI-based workload advisories for storage partitions, this Redpaper equips you with the tools to master proactive storage management. We will explore advanced capabilities such as system health advisories for IBM FlashSystem grid, ransomware threat detection, the power of the IBM Storage Insights Observability Chatbot, and the innovative potential of artificial intelligence for storage (AI4S), all within the context of enhancing efficiency, security, and performance.
The target audience of this Redpaper is storage administrators and storage technical specialists wanting to learn about Artificial Intelligence for IT Operations (AIOps) in the storage context.
Table of Contents
Chapter 1. Capacity planning
Chapter 2. Finding a suitable storage system for a new workload
Chapter 3. Detecting performance deviations
Chapter 4: AI based Workload Advisory for storage partition
Chapter 5. System health advisory for FlashSystem grid
Chapter 6. Workload Anomaly Detection and Ransomware Threat Detection
Chapter 7. Observability Chatbot for IBM Storage Insights
Chapter 8. Performance anomaly detection
Special Notices
The material included in this document is in DRAFT form and is provided 'as is' without warranty of any kind. IBM is not responsible for the accuracy or completeness of the material, and may update the document at any time. The final, published document may not include any, or all, of the material included herein. Client assumes all risks associated with Client's use of this document.