Workload Optimization and Mainframe Modernization Kit (Publication Date: 2024/04)

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



  • Does your organization fully understand the total cost to deliver a workload or application each month?
  • What are some of your day to day challenges with your infrastructure or workloads?
  • How to predict the impact of new application implementation on performance of existing workloads?


  • Key Features:


    • Comprehensive set of 1547 prioritized Workload Optimization requirements.
    • Extensive coverage of 217 Workload Optimization topic scopes.
    • In-depth analysis of 217 Workload Optimization step-by-step solutions, benefits, BHAGs.
    • Detailed examination of 217 Workload Optimization 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: Compliance Management, Code Analysis, Data Virtualization, Mission Fulfillment, Future Applications, Gesture Control, Strategic shifts, Continuous Delivery, Data Transformation, Data Cleansing Training, Adaptable Technology, Legacy Systems, Legacy Data, Network Modernization, Digital Legacy, Infrastructure As Service, Modern money, ISO 12207, Market Entry Barriers, Data Archiving Strategy, Modern Tech Systems, Transitioning Systems, Dealing With Complexity, Sensor integration, Disaster Recovery, Shopper Marketing, Enterprise Modernization, Mainframe Monitoring, Technology Adoption, Replaced Components, Hyperconverged Infrastructure, Persistent Systems, Mobile Integration, API Reporting, Evaluating Alternatives, Time Estimates, Data Importing, Operational Excellence Strategy, Blockchain Integration, Digital Transformation in Organizations, Mainframe As Service, Machine Capability, User Training, Cost Per Conversion, Holistic Management, Modern Adoption, HRIS Benefits, Real Time Processing, Legacy System Replacement, Legacy SIEM, Risk Remediation Plan, Legacy System Risks, Zero Trust, Data generation, User Experience, Legacy Software, Backup And Recovery, Mainframe Strategy, Integration With CRM, API Management, Mainframe Service Virtualization, Management Systems, Change Management, Emerging Technologies, Test Environment, App Server, Master Data Management, Expert Systems, Cloud Integration, Microservices Architecture, Foreign Global Trade Compliance, Carbon Footprint, Automated Cleansing, Data Archiving, Supplier Quality Vendor Issues, Application Development, Governance And Compliance, ERP Automation, Stories Feature, Sea Based Systems, Adaptive Computing, Legacy Code Maintenance, Smart Grid Solutions, Unstable System, Legacy System, Blockchain Technology, Road Maintenance, Low-Latency Network, Design Culture, Integration Techniques, High Availability, Legacy Technology, Archiving Policies, Open Source Tools, Mainframe Integration, Cost Reduction, Business Process Outsourcing, Technological Disruption, Service Oriented Architecture, Cybersecurity Measures, Mainframe Migration, Online Invoicing, Coordinate Systems, Collaboration In The Cloud, Real Time Insights, Legacy System Integration, Obsolesence, IT Managed Services, Retired Systems, Disruptive Technologies, Future Technology, Business Process Redesign, Procurement Process, Loss Of Integrity, ERP Legacy Software, Changeover Time, Data Center Modernization, Recovery Procedures, Machine Learning, Robust Strategies, Integration Testing, Organizational Mandate, Procurement Strategy, Data Preservation Policies, Application Decommissioning, HRIS Vendors, Stakeholder Trust, Legacy System Migration, Support Response Time, Phasing Out, Budget Relationships, Data Warehouse Migration, Downtime Cost, Working With Constraints, Database Modernization, PPM Process, Technology Strategies, Rapid Prototyping, Order Consolidation, Legacy Content Migration, GDPR, Operational Requirements, Software Applications, Agile Contracts, Interdisciplinary, Mainframe To Cloud, Financial Reporting, Application Portability, Performance Monitoring, Information Systems Audit, Application Refactoring, Legacy System Modernization, Trade Restrictions, Mobility as a Service, Cloud Migration Strategy, Integration And Interoperability, Mainframe Scalability, Data Virtualization Solutions, Data Analytics, Data Security, Innovative Features, DevOps For Mainframe, Data Governance, ERP Legacy Systems, Integration Planning, Risk Systems, Mainframe Disaster Recovery, Rollout Strategy, Mainframe Cloud Computing, ISO 22313, CMMi Level 3, Mainframe Risk Management, Cloud Native Development, Foreign Market Entry, AI System, Mainframe Modernization, IT Environment, Modern Language, Return on Investment, Boosting Performance, Data Migration, RF Scanners, Outdated Applications, AI Technologies, Integration with Legacy Systems, Workload Optimization, Release Roadmap, Systems Review, Artificial Intelligence, IT Staffing, Process Automation, User Acceptance Testing, Platform Modernization, Legacy Hardware, Network density, Platform As Service, Strategic Directions, Software Backups, Adaptive Content, Regulatory Frameworks, Integration Legacy Systems, IT Systems, Service Decommissioning, System Utilities, Legacy Building, Infrastructure Transformation, SharePoint Integration, Legacy Modernization, Legacy Applications, Legacy System Support, Deliberate Change, Mainframe User Management, Public Cloud Migration, Modernization Assessment, Hybrid Cloud, Project Life Cycle Phases, Agile Development




    Workload Optimization Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):


    Workload Optimization


    Workload optimization involves understanding the overall cost of delivering a workload or application on a monthly basis.


    1) Solution: Performance tuning and workload analysis.
    Benefits: Reduces unnecessary resource consumption and improves overall system efficiency, leading to cost savings.

    2) Solution: Workload balancing and prioritization.
    Benefits: Helps distribute workload evenly across systems, minimizing bottlenecks and ensuring optimal use of resources.

    3) Solution: Automation of manual processes.
    Benefits: Streamlines workflow and eliminates human error, increasing productivity and reducing costs.

    4) Solution: Application rationalization and consolidation.
    Benefits: Identifies and removes redundant applications, reducing complexity and improving system performance.

    5) Solution: Migration to cloud or virtual environments.
    Benefits: Shifts workload to more cost-effective and scalable platforms, resulting in savings on hardware and maintenance costs.

    6) Solution: Utilization of specialized tools for workload management.
    Benefits: Provides real-time insights and analytics for optimized decision-making and improved resource allocation.

    7) Solution: Analysis of licensing agreements.
    Benefits: Enables organizations to identify and eliminate unused or expensive software licenses, leading to cost savings.

    8) Solution: Collaboration between IT and business teams.
    Benefits: Encourages better communication and understanding of workload requirements, leading to more efficient resource allocation and cost savings.

    CONTROL QUESTION: Does the organization fully understand the total cost to deliver a workload or application each month?


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

    By 2031, it is my audacious goal for Workload Optimization to have the organization fully understand the total cost to deliver each workload or application every month. This includes all factors such as hardware, software, labor, maintenance, and energy costs. The organization will have complete visibility into the true cost of running each workload and be able to make data-driven decisions to optimize their workloads and applications. The result will be a significant reduction in unnecessary spending and increased efficiency and productivity, leading to higher profits for the organization. This goal will also pave the way for continuous improvement and advanced automation in workload management, setting us apart as a leader in the industry. With a deep understanding of our workloads and their costs, we will revolutionize how organizations manage their resources and deliver value to their customers.

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    Workload Optimization Case Study/Use Case example - How to use:


    Synopsis:

    The client, a large multinational corporation in the IT industry, was facing increasing pressure from their stakeholders to optimize their workloads and applications. With a vast network of data centers across the world, the organization was struggling to accurately track and allocate their resources, leading to wasted time and money. Additionally, the lack of visibility into the total cost of delivering a workload was hindering decision-making and preventing the organization from effectively managing its workload portfolio.

    To address these challenges, the organization engaged a consulting firm to perform a comprehensive assessment of their workload optimization processes. The goal of this engagement was to gain a better understanding of the total cost to deliver a workload or application each month and identify areas for improvement.

    Consulting Methodology:

    The consulting firm adopted a comprehensive approach to assess the client′s current workload optimization processes. The methodology comprised of the following steps:

    1. Data Collection and Analysis:
    The consulting team collected and analyzed data from different sources such as financial records, resource usage reports, and performance metrics of the organization′s workloads. This helped in identifying the key components that contribute to the total cost of delivering a workload.

    2. Process Mapping:
    Next, the team mapped out the end-to-end process of workload delivery, including resource allocation, provisioning, deployment, and maintenance. This provided a comprehensive view of the workload delivery process and identified any inefficiencies or redundancies.

    3. Cost Allocation:
    Using the data collected in the first step, the consulting team allocated costs to each component of the workload delivery process. This included direct costs such as server and storage costs, as well as indirect costs like labor and overhead expenses.

    4. Benchmarking:
    To provide a benchmark for comparison, the consulting team used industry-standard metrics and best practices to determine the ideal cost-to-workload ratio. This helped in identifying any discrepancies and areas for improvement within the organization′s processes.

    5. Recommendations:
    Based on the findings from the previous steps, the consulting team provided recommendations to optimize the client′s workload delivery processes. These recommendations included cost-saving initiatives, process improvements, and technology upgrades.

    Deliverables:

    1. Workload Cost Breakdown:
    The consulting team provided a detailed breakdown of the total cost associated with delivering each workload or application. This included direct and indirect costs, as well as a comparison to industry benchmarks.

    2. Process Maps:
    The process maps provided a visual representation of the organization′s workload delivery process, highlighting any inefficiencies or redundancies.

    3. Recommendations Report:
    The recommendations report presented the findings of the assessment and provided actionable recommendations to optimize the client′s workload delivery processes.

    Implementation Challenges:

    The implementation of the recommended changes faced some challenges, including resistance from stakeholders and the need for technology upgrades. However, through effective change management and collaboration with the client′s IT team, these challenges were overcome.

    KPIs:

    The following key performance indicators (KPIs) were used to measure the success of the engagement:

    1. Cost-to-Workload Ratio: The ratio of the total cost to deliver a workload to its expected cost served as a primary KPI to measure the optimization achieved.

    2. Resource Utilization: By optimizing their workload delivery processes, the organization aimed to reduce resource wastage and increase resource utilization.

    3. Process Efficiency: The efficiency of the workload delivery process, measured by metrics such as time-to-deployment and average workload delivery cost, was another KPI used to track progress.

    Management Considerations:

    To ensure the sustainability of the implemented changes, the consulting team provided the client with a roadmap for ongoing workload optimization. This included regular monitoring of KPIs, continuous process improvement, and integration of workload optimization into the organization′s overall strategy.

    Citations:

    1. Optimizing Workloads in the Era of Digital Transformation - Accenture Consulting Whitepaper
    2. The Total Cost of Ownership: A Framework for Decision Making - Harvard Business Review
    3. The Impact of Workload Optimization on IT Infrastructure Efficiencies - Gartner Market Research Report

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