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    Hitachi Application Reliability Center (HARC)

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    HARC is the confluence of the finest engineering talent, best in class tools, frameworks and a purpose-built modern facilities across time zones that deliver the most advanced Cloud management function for AWS workloads. HARC delivers customer-centric operating model with its underpinning in Site Reliability Engineering (SRE) and focusses on providing successful delivery & maintenance of a reliable Products by, • Scaled Engineering led operations with automation at the core • Automation extends beyond Automate to eliminate into Automate to delight, predict, and prevent. • Pragmatic way of bringing engineering, security and operations together leveraging a shared common backlog between engineering and operations • Integrated AWS cloud cost management focusing on ensuring optimal cost/ transaction while maximizing revenue/ transaction • Powered by our Advanced AI based Observability Robotics platform that leverages AWS observability capabilities
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    Hitachi Application Reliability Center (HARC)

     Info

    Overview

    In a product oriented agile delivery model, ownership towards Resiliency & Reliability becomes very vital to create better products with a faster delivery at an optimal operating cost.

    HARC helps enterprises to define, quantify, monitor, manage & evolve reliability of the full-stack AWS cloud workload with the consideration of end users and technologies involved. Service offering will focus on integrating multiple Product groups into one crew, to deliver & maintain Reliable Product/Systems. Service seeds Reliability and cost constructs in every step of the way, including design, build, test, and production service management.

    HARC assimilates ITIL and SRE principles to deliver engineering driven service management capabilities that includes, release, change, event management, incident management and problem management.

    HARC augments AWS automation capabilities and out of the box tools to accelerate implementation of observability robotics. Automation extends beyond toil elimination to fault prediction, incident prevention and customer delight. Accelerators have been built with years of experience in the industry working for clients across industry, this helps to shift traditional human-centric operations towards engineering led operations. For eg: HARC utilizes a combination of processes, tools, and accelerators to reach the direct responsible individual (DRI) during an incident cutting down on the crucial time during an incident.

    Migrating to the AWS cloud provides organizations with virtually infinite capacity to scale, but an operating model that scales linearly with the infrastructure or capacity significantly increases total cost of ownership (TCO). HARC addresses the situation with a novel approach based on analytical model that utilizes variety of factors including architecture, complexity, observability gap and expected SLOs

    In summary, HARC aims to offer best Return-On-Investment, lower operating cost with quantified reliability by,

    1. Building reliable products with embedded operational excellence
    2. Utilizing out-of-the-box process, frameworks, accelerators & patterns
    3. Relying on risk management that balances release velocity and product stability
    4. Reducing toil and heavy reliance on automation
    5. Improving AI driven business & technology decisions & planning
    6. Focusing proactive and continual cost management

    Benefits

    • Reduction in total cost of Ownership up to 35%
    • ~25% reduction in Mean Time to Detect (MTTD) and Mean time to Recover (MTTR)
    • 15%+ reduction in Failure Change rate
    • Integrated Delivery

    Highlights

    • Integrated AWS cloud workload management covering AWS infrastructure, AWS services, applications, data, and security • Product Engineering approach where Engineering and Ops share an integrated common backlog of application and reliability features
    • Automated ML infused Incident routing to direct responsible individual (DRI) • Integrated AWS Cloud Cost Management through ‘design for cost’
    • AI/ML based ‘Observability Robotics’ that enables automated correlation and root cause analysis

    Details

    Delivery method

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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