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The "Power Systems for AIX I: LPAR Configuration and Planning" course is an in-depth training program designed for system administrators and technical professionals involved with the planning, installation, and management of logical partitions (LPARs) on IBM Power Systems servers running AIX.
Module 1 provides a foundational understanding of partitioning concepts, a comprehensive overview of the hardware systems capable of LPAR, and introduces the Hardware Management Console (HMC), which is crucial for configuring and managing LPARs.
Module 2 delves deeper into the HMC, covering its maintenance and system power management, followed by essential strategies for planning and configuring logical partitions effectively.
Module 3 continues with advanced planning and configuration techniques and covers partition operations and dynamic LPAR operations, which allow for real-time adjustments to partition resources.
Learners will benefit from this course by gaining the skills necessary to optimize their AIX environments through effective LPAR configuration, ensuring efficient resource utilization and system scalability.
Successfully delivered 3 sessions for over 8 professionals
Purchase This Course
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
The Power Systems for AIX I: LPAR Configuration and Planning course is designed for professionals managing IBM AIX environments on Power Systems.
Introduction: This course offers comprehensive insights into the configuration and planning of logical partitions (LPAR) on IBM AIX Power Systems, focusing on partitioning, hardware management, and dynamic operations.
Learning Objectives and Outcomes: