Sold by: Remapped.aiÂ
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
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Deployed on AWS
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