Hybrid Cloud and Mainframe Modernization Kit (Publication Date: 2024/04)

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



  • How does your organization decide where to put data on a hybrid cloud and how to use it?
  • Do you have a streamlined governance model for your hybrid or multi cloud environment?
  • Can a public cloud handle your needs and concerns, or must you use a private cloud?


  • Key Features:


    • Comprehensive set of 1547 prioritized Hybrid Cloud requirements.
    • Extensive coverage of 217 Hybrid Cloud topic scopes.
    • In-depth analysis of 217 Hybrid Cloud step-by-step solutions, benefits, BHAGs.
    • Detailed examination of 217 Hybrid Cloud 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




    Hybrid Cloud Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):


    Hybrid Cloud


    The organization must consider data needs, security, and cost to determine where and how to store and utilize data on a hybrid cloud.



    1. Utilize the agility of the cloud for testing and development while keeping sensitive data on-premises.
    Benefit: This allows for cost savings and increased flexibility for development processes.

    2. Use a hybrid architecture to seamlessly connect on-premises mainframe applications with cloud-based microservices.
    Benefit: This enables organizations to modernize their mainframe applications without disrupting existing business processes.

    3. Employ data analytics to identify which data should be moved to the cloud and which should remain on-premises.
    Benefit: This ensures that sensitive data stays secure while leveraging the scalability and accessibility of the cloud for less critical data.

    4. Implement data encryption and advanced security measures to protect sensitive data in a hybrid cloud environment.
    Benefit: This keeps data secure and compliant, instilling trust in customers and meeting regulatory requirements.

    5. Leverage automation tools to facilitate efficient data movement and management between on-premises and cloud environments.
    Benefit: This reduces manual labor and human error, leading to improved productivity and cost savings.

    6. Utilize a data management platform to gain real-time insights into data usage and performance across hybrid cloud environments.
    Benefit: This allows organizations to make informed decisions about where to house and how to use data for maximum impact.

    7. Invest in training and upskilling employees on utilizing a hybrid cloud environment to optimize its capabilities and benefits.
    Benefit: This empowers employees to effectively manage data placement and utilization, leading to improved efficiency and decision-making.

    CONTROL QUESTION: How does the organization decide where to put data on a hybrid cloud and how to use it?


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

    By the year 2031, our organization′s hybrid cloud infrastructure will have revolutionized the way we store, manage, and utilize data. Our goal is to seamlessly integrate on-premises and public cloud environments to create a hybrid cloud ecosystem that maximizes efficiency, cost-effectiveness, and agility.

    In order to achieve this goal, our organization will implement advanced technologies such as artificial intelligence, machine learning, and automation to efficiently manage data placement across our hybrid cloud. These technologies will analyze data usage patterns, performance metrics, and cost considerations to determine the most optimal location for each type of data.

    Our organization will also establish a comprehensive data governance framework to ensure proper data classification and security protocols are in place for both on-premises and public cloud data. This will allow us to make informed decisions on where to store sensitive data and ensure compliance with regulations.

    Another key aspect of our hybrid cloud strategy will be the implementation of a unified data management platform. This will enable us to seamlessly access, migrate, and replicate data across our hybrid cloud, simplifying data management and reducing costs.

    Additionally, our organization will leverage the power of hybrid cloud analytics to gain valuable insights from our data. This will involve utilizing advanced analytics tools and techniques to extract meaningful information from both on-premises and public cloud data, enabling us to make data-driven decisions and drive business growth.

    Overall, our 10-year goal for our hybrid cloud is to create a seamless and efficient data ecosystem, where data can be easily accessed, managed, and utilized to drive innovation and business success. This will ultimately lead to increased competitiveness and greater customer satisfaction.

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    Hybrid Cloud Case Study/Use Case example - How to use:

    Client Situation:

    ABC Company, a multinational corporation specializing in technology solutions, was facing several challenges with their data storage and management. With the increasing amount of digital information being generated and collected, the company was quickly outgrowing their on-premises storage infrastructure. They needed a scalable solution that could store and manage their ever-growing data at a lower cost.

    After conducting extensive research and considering various options, ABC Company decided to adopt a hybrid cloud strategy. This would allow them to leverage the benefits of both public and private cloud environments and maintain control over sensitive data while taking advantage of the scalability and flexibility of the public cloud. However, they were struggling with determining where to place their data on the hybrid cloud and how to effectively use it to meet their business goals.

    Consulting Methodology:

    The consulting team at XYZ Consulting was approached by ABC Company to help them develop a data placement and utilization strategy for their hybrid cloud environment. The first step in the process was to conduct a detailed assessment of the client′s current data storage and management practices. This included analyzing the types of data being generated, the frequency and volume of data, and the security and compliance requirements for each type of data.

    Based on this assessment, the consulting team created a data classification framework, which categorized data into three main categories: mission-critical, core, and non-core. Mission-critical data included sensitive information such as financial data, customer personal information, and intellectual property. Core data included operational data required for day-to-day business activities, while non-core data included less critical data such as marketing materials.

    Next, the team conducted a thorough analysis of the various workloads and applications that used this data. This helped in identifying the dependencies between different datasets and determining the optimal placement of data on the hybrid cloud. The team also worked closely with the client′s IT and business teams to understand their data access and usage patterns, as well as their future business goals.

    Based on this analysis, the consulting team recommended a multi-tiered approach to data placement on the hybrid cloud. They suggested that mission-critical data be stored on the company′s private cloud environment, while core data could be placed on a mix of public and private cloud, depending on the specific security and performance requirements. Non-core data, on the other hand, could be stored in the public cloud as it was less sensitive and could be easily accessed by multiple departments.

    Deliverables and Implementation Challenges:

    The consulting team created a comprehensive hybrid cloud data utilization and storage strategy for ABC Company, which included recommendations on data placement, access control, and data recovery plans. They also provided a detailed cost-benefit analysis for the proposed solution, showcasing the potential cost savings compared to their current on-premises storage infrastructure.

    However, one of the major implementation challenges was ensuring the seamless integration between the client′s on-premises infrastructure and the public and private cloud environments. The team had to work closely with the client′s IT team to establish secure connections between these environments and ensure data transfer between them was smooth and efficient.

    KPIs and Other Management Considerations:

    The success of the data placement and utilization strategy was measured using key performance indicators (KPIs) such as cost savings, data accessibility, performance, and compliance. Regular audits were conducted to ensure that the data was stored in the designated locations and access control policies were being enforced.

    Another important consideration for the management was training and upskilling their IT team to effectively manage the hybrid cloud environment. This included learning how to monitor and troubleshoot any issues related to data placement and access, as well as understanding the different tools and technologies used in the hybrid cloud architecture.

    Conclusion:

    With the help of XYZ Consulting, ABC Company was able to successfully implement a data placement and utilization strategy for their hybrid cloud environment. This allowed them to meet their data management needs while ensuring cost-efficiency and compliance with industry regulations. By adopting a multi-tiered approach to data placement, the company was able to optimize their IT infrastructure, reduce costs, and improve data accessibility and security. To further improve their data management capabilities, the company continues to work closely with XYZ Consulting to regularly review and update their hybrid cloud strategy as their needs evolve.

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