IBM Redbooks

Dino Quintero

Sebastien Chabrolles

Chi Hui Chen

Murali Dhandapani

Talor Holloway

Chandrakant Jadhav

Sae Kee Kim

Sijo Kurian

Bharath Raj

Ronan Resende

Bjorn Roden

Niranjan Srinivasan

Richard Wale

William Zanatta

Zhi Zhang

This IBM® Redbooks® publication addresses performance tuning topics to help leverage the virtualization strengths of the POWER® platform to solve clients' system resource utilization challenges, and maximize system throughput and capacity. We examine the performance monitoring tools, utilities, documentation, and other resources available to help technical teams provide optimized business solutions and support for applications running on IBM POWER systems' virtualized environments. The book offers application performance examples deployed on IBM Power SystemsTM utilizing performance monitoring tools to leverage the comprehensive set of POWER virtualization features: Logical Partitions (LPARs), micro-partitioning, active memory sharing, workload partitions, and more. We provide a well-defined and documented performance tuning model in a POWER system virtualized environment to help you plan a foundation for scaling, capacity, and optimization . This book targets technical professionals (technical consultants, technical support staff, IT Architects, and IT Specialists) responsible for providing solutions and support on IBM POWER systems, including performance tuning.

IBM Power Systems Performance Guide: Implementing and Optimizing

Chi Hui Chen

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