DevOps Approach in DevOps Dataset (Publication Date: 2024/01)

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



  • What is your approach, if any, to scaling your DevOps efforts to your mainframe infrastructure?
  • Is the team set up suitably for a DevOps approach that can take full ownership of the solution, from design to production monitoring?
  • How does devops complement other approaches, and how can companies successfully implement it?


  • Key Features:


    • Comprehensive set of 1515 prioritized DevOps Approach requirements.
    • Extensive coverage of 192 DevOps Approach topic scopes.
    • In-depth analysis of 192 DevOps Approach step-by-step solutions, benefits, BHAGs.
    • Detailed examination of 192 DevOps Approach 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: Agile Sprint Planning, Faster Delivery, DevOps Practices, DevOps For Databases, Intellectual Property, Load Balancing, Disaster Recovery, KPI Improvement, API Lifecycle Management, Production Environment, Testing In DevOps, Competitor customer experience, Problem Management, Superior Intelligence, Evolutionary Change, Load Testing, Agile Design, IT Architecture, Deployment Strategies, Cloud Native Applications, Build Tools, Alignment Framework, Process Combination, Data Breaches, Archival storage, Cycles Increase, Innovation Alignment, Performance Testing, Operating Performance, Next Release, Monitoring And Logging, DevOps, Kubernetes Orchestration, Multi-Cloud Strategy, Agile Implementation, Expense Platform, Source Code, Company Billing, Enterprise Architecture Business Alignment, Agile Scrum Master, Infrastructure As Code, Data Encryption Policies, Jenkins Integration, Test Environment, Security Compliance Reporting, Source Code Management Tools, Expectation Alignment, Economic Inequality, Business Goals, Project Management Tools, Configuration Management Tools, In Store Experience, Blue Green Deployment, Cultural Collaboration, DevOps Services, FISMA, IT Operations Management, Cloud Computing, App Analytics, Application Development, Change Management, Release Automation Tools, Test Automation Tools, Infrastructure Monitoring, Enterprise Success, Enterprise Architecture Certification, Continuous Monitoring, IoT sensors, DevOps Tools, Increasing Speed, Service Level Agreements, IT Environment, DevOps Efficiency, Fault Tolerance, Deployment Validation, Research Activities, Public Cloud, Software Applications, Future Applications, Shift Left Testing, DevOps Collaboration, Security Certificates, Cloud Platforms, App Server, Rolling Deployment, Scalability Solutions, Infrastructure Monitoring Tools, Version Control, Development Team, Data Analytics, Organizational Restructuring, Real Time Monitoring, Vendor Partner Ecosystem, Machine Learning, Incident Management, Environment Provisioning, Operational Model Design, Operational Alignment, DevOps Culture, Root Cause Analysis, Configuration Management, Continuous Delivery, Developer Productivity, Infrastructure Updates, ERP Service Level, Metrics And Reporting, Systems Review, Continuous Documentation, Technology Strategies, Continuous Improvement, Team Restructuring, Infrastructure Insights, DevOps Transformation, Data Sharing, Collaboration And Communication, Artificial Intelligence in Robotics, Application Monitoring Tools, Deployment Automation Tools, AI System, Implementation Challenges, DevOps Monitoring, Error Identification, Environment Configuration, Agile Environments, Automated Deployments, Ensuring Access, Responsive Governance, Automated Testing, Microservices Architecture, Skill Matrix, Enterprise Applications, Test methodologies, Red Hat, Workflow Management, Business Process Redesign, Release Management, Compliance And Regulatory Requirements, Change And Release Management, Data Visualization, Self Development, Automated Decision-making, Integration With Third Party Tools, High Availability, Productivity Measures, Software Testing, DevOps Strategies, Project responsibilities, Inclusive Products, Scrum principles, Sprint Backlog, Log Analysis Tools, ITIL Service Desk, DevOps Integration, Capacity Planning, Timely Feedback, DevOps Approach, Core Competencies, Privacy Regulations, Application Monitoring, Log Analysis, Cloud Center of Excellence, DevOps Adoption, Virtualization Tools, Private Cloud, Agile Methodology, Digital Art, API Management, Security Testing, Hybrid Cloud, Work Order Automation, Orchestration Tools, Containerization And Virtualization, Continuous Integration, IT Staffing, Alignment Metrics, Dev Test Environments, Employee Alignment, Production workflow, Feature Flags, IoT insights, Software Development DevOps, Serverless Architecture, Code Bugs, Optimal Control, Collaboration Tools, ITSM, Process Deficiencies, Artificial Intelligence Testing, Agile Methodologies, Dev Test, Vendor Accountability, Performance Baseline




    DevOps Approach Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):


    DevOps Approach

    The DevOps approach integrates software development with operations teams to streamline and automate processes, improving speed and quality. It can be scaled to mainframe infrastructure by using automation tools, cross-functional collaboration, and continuous improvement.


    1. Automation: Incorporating automation tools and processes to scale DevOps efforts on the mainframe infrastructure.
    Benefit: Faster and more efficient deployment of mainframe applications with reduced human errors.

    2. Infrastructure as Code: Treating mainframes as code, enabling automated provisioning and scalability.
    Benefit: Simplified deployment and management of mainframe infrastructure, leading to faster delivery and lower risk of manual errors.

    3. Continuous Integration and Delivery (CI/CD): Implementing CI/CD pipeline on mainframes for faster, more frequent releases.
    Benefit: Improved collaboration, transparency, and speed of software delivery on the mainframe.

    4. Microservices Architecture: Breaking down monolithic mainframe applications into smaller, independent services.
    Benefit: Enables greater flexibility, scalability, and resilience of the mainframe infrastructure, making it easier to manage and update.

    5. Monitoring and Feedback Loop: Implementing real-time monitoring and feedback loops for rapid detection and remediation of issues on the mainframe.
    Benefit: Increased visibility and proactivity in identifying and addressing potential performance or availability issues on the mainframe.

    6. Cross-functional Collaboration: Encouraging cross-functional collaboration and communication between developers, operations, and mainframe teams.
    Benefit: Promotes a culture of shared responsibility and knowledge, leading to improved efficiency and quality of DevOps efforts on the mainframe.

    7. Cloud Computing: Leveraging cloud infrastructure to supplement mainframe capabilities and scale DevOps efforts.
    Benefit: Increased agility and cost savings, allowing for rapid scaling up or down of mainframe resources as needed.

    8. Closely Aligning Testing and Operations: Integrating testing into the DevOps process to identify and fix issues early on, reducing the risk of deployment failures.
    Benefit: Improved quality and reliability of mainframe applications, leading to increased customer satisfaction.

    9. Standardization and Consistency: Implementing standard processes and tools across all teams working on mainframe infrastructure.
    Benefit: Improved efficiency, traceability, and consistency in deployment and management of mainframe applications.

    10. Continuous Learning and Improvement: Creating a culture of continuous learning and improvement, continuously evaluating and optimizing DevOps practices on the mainframe.
    Benefit: Foster innovation and efficiency, making it easier to identify and address areas for improvement in the DevOps process.

    CONTROL QUESTION: What is the approach, if any, to scaling the DevOps efforts to the mainframe infrastructure?


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

    Big Hairy Audacious Goal (BHAG): Transforming the Mainframe Infrastructure with DevOps by 2030

    Approach:

    1. Collaborative Culture: The first step towards achieving this goal is to foster a collaborative culture within the organization. This means breaking down silos and promoting open communication and collaboration between different teams, including mainframe and DevOps teams.

    2. Automation: Automation is at the core of DevOps principles. By leveraging automation tools and techniques, we aim to reduce manual processes and human error, resulting in faster and more efficient deployment of code changes on the mainframe.

    3. Continuous Integration and Delivery (CI/CD): Implementing CI/CD practices on the mainframe infrastructure will enable fast and frequent releases, ensuring that code changes are delivered to production quickly and reliably.

    4. Standardization and Code Reusability: Adopting a standardized approach for mainframe development and promoting code reusability will not only increase efficiency but also reduce the learning curve for new team members.

    5. Real-time Monitoring and Feedback: In order to continuously improve and optimize our DevOps efforts for the mainframe, real-time monitoring and feedback mechanisms will be put in place to identify and address any bottlenecks or issues.

    6. Education and Training: To ensure the success of this BHAG, providing proper education and training to mainframe teams on DevOps principles and practices is crucial. This will ensure a smooth transition and adoption of the DevOps approach.

    7. Continuous Improvement: DevOps is a journey, not a destination. Therefore, continuous improvement is key. By regularly evaluating and optimizing our processes and tools, we can continue to enhance our DevOps efforts on the mainframe over the next 10 years.

    8. Automation of Legacy Systems: As mainframe systems are often legacy systems, modernizing and automating them will be a key focus area for scaling DevOps efforts on the mainframe infrastructure.

    By following this approach and continuously striving towards our BHAG, we aim to transform the mainframe infrastructure with DevOps practices by 2030, resulting in faster, higher quality, and more reliable software delivery.

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    DevOps Approach Case Study/Use Case example - How to use:


    Case Study: Implementing a DevOps Approach for Mainframe Infrastructure Scaling

    Synopsis:
    A leading financial services organization with a large mainframe infrastructure was facing challenges in scaling their DevOps efforts. The client had already implemented a DevOps approach for their distributed systems, but the mainframe environment still followed a traditional waterfall methodology. This resulted in slower release cycles and increased time-to-market for critical applications. The client recognized the need to modernize their mainframe infrastructure and adopt a DevOps approach to improve efficiency and accelerate delivery. They sought the assistance of our consulting firm to develop and implement a strategy for scaling DevOps to their mainframe environment.

    Consulting Methodology:
    Our consulting team conducted an extensive assessment of the client′s mainframe infrastructure, processes, and tools. We reviewed the current state of their mainframe environment and identified areas that needed improvement in order to adopt a DevOps approach. Our methodology included the following key steps:

    1. Define DevOps Strategy: The first step was to define a clear DevOps strategy for the mainframe environment. This involved understanding the client′s business objectives, identifying key performance indicators (KPIs), and aligning the DevOps strategy with the overall IT strategy.

    2. Identify Tools and Processes: We evaluated the existing tools and processes used for mainframe development and operations, and identified areas where automation and integration were lacking. This helped us determine which tools and processes needed to be introduced or modified to support the DevOps approach.

    3. Establish a DevOps Culture: A crucial aspect of DevOps is creating a collaborative culture between development and operations teams. We worked closely with the client′s teams to promote a sense of ownership and collaboration, and to break down silos between different departments.

    4. Automation and Monitoring: As mainframe environments are complex and often require manual processes, we focused on automating routine tasks and implementing monitoring and alerting systems to ensure efficient and reliable delivery of mainframe applications.

    5. Test Automation: We introduced automated testing processes and tools to improve testing efficiency and ensure a higher quality end product.

    Deliverables:
    Based on the assessment and consulting methodology, our team delivered the following key deliverables to the client:

    1. DevOps strategy document outlining the overall approach and specific recommendations for mainframe infrastructure scaling.

    2. A detailed action plan with timelines and responsibilities for implementing the DevOps strategy.

    3. Recommendations for tools and processes to support a DevOps approach for the mainframe environment.

    4. Implementation plan for automation and monitoring systems.

    5. Test automation framework and guidelines.

    Implementation Challenges:
    The implementation of DevOps for the mainframe environment posed some unique challenges. Some of the key challenges that we faced and how we addressed them are as follows:

    1. Resistance to Change: As the client′s mainframe environment had been following a traditional waterfall methodology for many years, there was resistance to change from some teams. We conducted training and workshops to educate employees about the benefits of DevOps and how it would improve their work processes.

    2. Existing Legacy Systems: The mainframe environment consisted of legacy systems that presented challenges in terms of integration with modern DevOps tools and processes. Our team worked closely with the client′s IT team to identify solutions and implement integrations.

    3. Automation Limitations: Unlike distributed systems, mainframe environments have limitations in terms of automation due to the nature of the systems. We worked closely with the client′s IT team to find ways to automate manual processes as much as possible, while still adhering to security and compliance requirements.

    KPIs:
    To measure the success of the DevOps approach for the mainframe environment, we established the following KPIs:

    1. Time-to-Market: This KPI measured the time taken to deliver new features and enhancements to mainframe applications.

    2. Release Frequency: We aimed to increase the frequency of releases to the mainframe environment, thereby reducing the time between changes being made and implemented.

    3. Defect Rate: The goal was to reduce the number of defects in production by improving the quality of code through test automation and continuous monitoring.

    Management Considerations:
    To ensure the successful adoption of DevOps for the mainframe environment, we provided the client with the following management considerations:

    1. Executive Buy-In: We emphasized the need for executive leadership and support for the DevOps transformation. This helped to drive a sense of urgency and commitment towards the change.

    2. Training and Communication: We recommended providing training and communication to all employees to help them understand the benefits of DevOps and how it would impact their work.

    3. Continuous Improvement: We emphasized the importance of continuously assessing and improving the processes, tools, and culture to ensure the success of the DevOps approach in the long term.

    Citations:
    1. Scaling DevOps on Mainframe by Gartner (2019).
    2. Mainframe: The Last Bastion of Unmodernized Technology by Forrester (2018).
    3. DevOps Tools for the Mainframe: Building Automation and Adapting Culture by IDC (2020).
    4. Scaling DevOps Adoption by Accenture (2017).
    5. Mainframe DevOps: How to Make it Happen by TechBeacon (2018).

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