IBM Spectrum Scale - Remote Data Access

Enterprises and organizations are creating, analyzing and keeping more data than ever before. An organization’s underlying storage must support new-era big data and artificial intelligence workloads along with traditional applications while ensuring security, reliability and high performance. IBM Spectrum Scale meets these challenges as a high-performance solution for managing data at scale. This new course covers IBM Spectrum Scale features that enable data-anywhere access that spans storage and locations to accelerate applications across the data center or around the world. Attendees should already know the basics of installing, configuring and managing a Spectrum Scale clustered file system and how to use the installer toolkit.

This course is intended for IT professionals tasked with administering a Spectrum Scale storage cluster consisting of Linux nodes. The course includes information on various Spectrum Scale features that enable remote access to the data that is stored in a cluster file system. This includes: multi-cluster support, clustered NFS, cluster export services (CES) and protocol support (NFS, SMB, Object, and block), Active File Management (AFM), and AFM-based Asynchronous Disaster Recovery (AFM DR). The features are described in lecture materials and implemented in lab exercises.

• Configure a cluster to allow remote file system access
• Mount a Spectrum Scale file system from a remote cluster
• Implement Active File Management (AFM)
• Summarize AFM cache modes
• Describe AFM DR
• Differentiate AFM and AFM DR
• Implement AFM DR
• Describe and implement Clustered NFS (CNFS)
• Describe the Cluster Export Services (CES) architecture
• Implement CES protocols (NFS, SMB, Object, and block)
• Differentiate CNFS and CES NFS