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    AutoScale[IQ]: Oracle Exadata automated, real-time cost optimization

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    AutoScale[IQ] for Exadata provides automated real-time CPU optimization and performance assurance, cutting Oracle Database@AWS cloud service costs by up to 65% automatically.

    Overview

    Running the Oracle Database@AWS cloud service delivers high performance but comes with high cost when resources aren’t managed. AutoScale[IQ] for Exadata (from Remapped) solves this challenge with intelligent automation that dynamically adjusts CPU resources in real-time, so you only pay for what you use, cutting Oracle Exadata costs by up to 65%.

    Why Enterprises Choose AutoScale[IQ] to optimize Exadata costs

    • Significant cost savings: Cut Oracle Database@AWS costs by up to 65%, with even greater impact when using PaaS (license included) cloud licensing
    • Pay only for what you need: Scale resources up or down instantly based on real-time workload demand
    • Enhanced performance: Eliminate manual CPU adjustments and avoid resource bottlenecks
    • Fully Automated: Reduces the need for manual intervention, performance tuning, and incident tickets

    Flexible, Low-Risk Commercial Model

    • No downtime or disruption to implement
    • Subscription-based; fixed fee or savings-based pricing
    • Cancel anytime if savings are not material
    • Available standalone or bundled with Cintra’s cloud managed services

    What are the key features of AutoScale[IQ] for Exadata?

    • Real-time online scaling of Oracle Database@AWS CPUs
    • Driven by observed CPU and cluster load patterns
    • Operates within defined minimum and maximum thresholds for full control
    • Utilizes OCI-native API for seamless operation and billing management
    • Scaling notifications via email or OCI channels for real-time visibility

    Highlights

    • Significant Oracle Exadata cost savings: Cut Oracle Database@AWS costs by up to 65%, with even greater impact when using PaaS cloud licensing.
    • Fully-Automated: Reduces the need for manual intervention, performance tuning, and incident tickets scales up and down automatically based on real time workload demand.
    • Implementation: No downtime or disruption to implement AutoScale[IQ] for Exadata

    Details

    Delivery method

    Deployed on AWS
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