Capacity Planning in IBM i System Administration Disaster Recovery Toolkit (Publication Date: 2024/02)

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Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:

  • Are you planning to deploy pay for use capacity within your infrastructure?
  • Key Features:

    • Comprehensive set of 1563 prioritized Capacity Planning requirements.
    • Extensive coverage of 105 Capacity Planning topic scopes.
    • In-depth analysis of 105 Capacity Planning step-by-step solutions, benefits, BHAGs.
    • Detailed examination of 105 Capacity Planning case studies and use cases.

    • Digital download upon purchase.
    • Enjoy lifetime document updates included with your purchase.
    • Benefit from a fully editable and customizable Excel format.
    • Trusted and utilized by over 10,000 organizations.

    • Covering: Service Programs, Device Management, System Upgrades, Subsystem Management, Printing Management, Security Management, Backup Storage, Work Management, Server Administration, Job Output, Security Procedures, Database Monitoring, Administration Console, Disk Mirroring, Licensed Programs, Audit Management, System Startup, System Monitoring, System Scheduler, System Utilities, Performance Tuning, System Configuration Settings, System Diagnostics, Distributed Trust, Interactive Applications, Concurrency control, Disk Management, File Sharing, Service Tools, On System Programming, Memory Management, Security Auditing, Backup And Recovery, Authorization Lists, Debugging Techniques, Internal Communication, Data Compression, IT Systems, Batch Job Management, User Profile Management, File Management, System Backups, Error Logs, User Authentication, Problem Determination, Virtualization Management, System Analysis, Autonomic Computing, System Audits, IBM i System Administration, Systems Review, Audit Trail, Networking Management, Dev Test, System Queues, System Automation, Program Installation, Software Licensing, Print Queues, Recovery Strategies, Security Policies, Job Scheduling, Database Replication, Configuration Auditing, Ensuring Access, Performance Metrics, High Availability, DB2 Database, Capacity Planning, Object Management, System Restores, IBM Architecture, Workload Management, Backup Verification, System Alerts, System User Groups, TCP IP Configuration, System Monitoring Tools, System Configuration, Asset Hierarchy, Data Transfer, Disaster Recovery, Programming Interfaces, Workload Balancing, Database Management, System Consoles, System Logs, Application Development, Debugging Tools, Network Protocols, License Management, File System, Access Control, Data Encryption, Web Administration, Process Management, Resource Management, Message Queues, Memory Paging, Object Locking, Server Consolidation, System Downtime, Data Integrity, System Performance, Command Line Utilities

    Capacity Planning Assessment Disaster Recovery Toolkit – Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):


    Capacity Planning

    Capacity planning involves forecasting the future demand for resources and determining the necessary capacity to meet that demand, such as using pay-per-use options.

    – Solution: Utilize dynamic capacity planning tools such as PowerHA Capacity on Demand.
    Benefits: Helps optimize resource allocation and reduce costs by only paying for what is used.

    – Solution: Implement performance monitoring tools like IBM i Performance Data Investigator.
    Benefits: Allows for real-time tracking of system performance and identifies potential bottlenecks for future capacity planning.

    – Solution: Use IBM i Workload Estimator to estimate future workload growth.
    Benefits: Helps plan for needed resources based on projected workload, avoiding unexpected capacity issues.

    – Solution: Consider utilizing cloud-based solutions for flexible and scalable capacity options.
    Benefits: Offers on-demand scalability and cost-effectiveness for varying workload demands.

    – Solution: Implement an organized data management and archiving strategy to free up server storage space.
    Benefits: Frees up existing resources and extends the life of current capacity, delaying the need for additional capacity.

    – Solution: Utilize virtualization technologies to consolidate workloads and increase efficiency.
    Benefits: Maximizes existing resources and reduces the need for purchasing additional capacity.

    – Solution: Regularly review and adjust system settings for optimal performance and efficient resource usage.
    Benefits: Prevents overutilization of resources and ensures optimal performance for all workloads.

    CONTROL QUESTION: Are you planning to deploy pay for use capacity within the infrastructure?

    Big Hairy Audacious Goal (BHAG) for 10 years from now:

    By 10 years from now, our company will have successfully implemented a fully automated and optimized capacity planning system that incorporates pay for use capacity within our infrastructure. This system will be seamlessly integrated into our overall technology strategy and will ensure efficient resource allocation, cost savings, and scalability as we continue to grow. We envision a future where our capacity planning process is driven by real-time data and machine learning algorithms, allowing us to make data-driven decisions and proactively adjust our resources to meet demand. Our pay for use capacity model will also enable us to better manage fluctuating workloads and dynamically scale up or down as needed, resulting in significant cost savings and improved efficiency. With this goal in mind, we aim to be at the forefront of innovation in capacity planning and set the industry standard for optimizing resource utilization in the next 10 years.

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    Capacity Planning Case Study/Use Case example – How to use:

    Client Situation:
    ABC Company is a medium-sized technology company that specializes in developing cloud-based solutions for businesses. The company has been experiencing an increase in demand for their services, resulting in a rapid growth of their customer base. As a result, their current infrastructure is struggling to keep up with the rising demands, leading to frequent system crashes and downtime. The company′s leadership team realized that they needed to upgrade their infrastructure to meet the growing needs of their customers. However, they also wanted to optimize their costs and minimize any potential risks associated with procurement of additional hardware.

    Consulting Methodology:
    As a consulting firm specializing in capacity planning, our first step was to conduct a thorough analysis of the client′s current infrastructure. This involved collecting information on their existing hardware and software, usage patterns, peak load times, and future growth projections. We utilized various tools and techniques such as system monitoring, performance testing, and trend analysis to gather accurate data and identify any bottlenecks or areas for improvement.

    Based on our findings, we recommended the adoption of a pay-for-use capacity model within the client′s infrastructure. This model involves paying for computing resources based on actual usage rather than fixed allocations. This would enable the client to scale their infrastructure according to their needs, thereby optimizing costs and minimizing the risk of overprovisioning.

    Deliverables:
    1. Capacity Analysis Report: We provided the client with a detailed report on their current capacity and performance metrics, along with our findings and recommendations.
    2. Pay-for-Use Model Implementation Plan: Based on our assessment, we created a customized implementation plan for deploying the pay-for-use capacity model within the client′s infrastructure.
    3. Resource Provisioning Guidelines: We developed guidelines for the client′s IT team on resource provisioning and management in the pay-for-use model.
    4. Implementation Support: Our team provided ongoing support during the implementation phase to ensure a smooth transition to the new model.

    Implementation Challenges:
    Implementing a pay-for-use capacity model posed several challenges for the client, including:
    – Resistance to change: The concept of paying for actual usage rather than fixed allocations was new to the client and was met with skepticism from some stakeholders.
    – Integration with legacy systems: The client′s existing infrastructure included some legacy systems that needed to be integrated with the new pay-for-use model.
    – Lack of expertise: The client′s IT team had limited experience with this type of model, requiring additional training and support.

    KPIs:
    We identified the following key performance indicators (KPIs) to measure the success of the pay-for-use capacity model implementation:
    1. Cost Savings: The decrease in overall infrastructure costs as a result of paying for actual usage rather than fixed allocations.
    2. Resource Utilization: The increase in resource utilization rates compared to before the implementation of the pay-for-use model.
    3. Downtime Reduction: The decrease in system downtime due to the ability to scale resources according to demand.
    4. Customer Satisfaction: The increase in customer satisfaction levels due to improved system performance and availability.

    Management Considerations:
    The adoption of a pay-for-use capacity model also required some management considerations, such as:
    1. Performance Monitoring: It was crucial for the client to continuously monitor their system performance to ensure they were not exceeding their allocated resources and incurring additional costs.
    2. Vendor Selection: The client needed to carefully select their cloud service provider to ensure they offered a reliable and flexible pay-for-use option.
    3. Resource Planning: The pay-for-use model added complexity to resource planning as the client now had to carefully analyze their usage patterns and estimate resource needs to avoid potential overutilization penalties.

    Conclusion:
    In conclusion, the implementation of a pay-for-use capacity model within ABC Company′s infrastructure has proven to be successful. The adoption of this model has not only optimized costs but also improved system performance and increased customer satisfaction. With proper monitoring and resource planning, the client can continue to reap the benefits of this model and scale their infrastructure efficiently without incurring unnecessary costs. Our consulting methodology, along with the recommended KPIs and management considerations, played a critical role in the successful implementation of the pay-for-use capacity model. This case study highlights the importance of capacity planning and the potential benefits of adopting a flexible and scalable capacity model for companies looking to optimize their IT infrastructure.

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