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    Dynamic EC2 Capacity Management with AWS Auto Scaling

     Info
    OneData Software utilizes AWS Auto Scaling to dynamically adjust the number of EC2 instances based on application demand. This approach ensures consistent application performance, optimizes resource utilization, and reduces costs. By integrating Auto Scaling with Application Load Balancers, OneData enhances fault tolerance and maintains high availability across multiple Availability Zones.

    Overview

    OneData Software's dynamic EC2 capacity management leverages AWS Auto Scaling to automatically adjust the number of EC2 instances in response to application traffic. This ensures that applications maintain consistent performance during varying load conditions, optimizing resource utilization and minimizing costs.

    Key Features:

    • Automatic Scaling: AWS Auto Scaling adjusts the number of EC2 instances based on predefined metrics, such as CPU utilization or request count, ensuring optimal performance.

    • Integration with Application Load Balancers: By integrating with Application Load Balancers, OneData ensures that incoming traffic is evenly distributed across EC2 instances, enhancing fault tolerance and availability.

    • Multi-AZ Deployment: Deploying EC2 instances across multiple Availability Zones increases application resilience and reduces the risk of downtime.

    • Cost Optimization: Auto Scaling helps in managing costs by adjusting the number of instances based on actual demand, preventing over-provisioning.

    By implementing these strategies, OneData Software ensures that applications are both scalable and cost-effective, adapting seamlessly to changing workloads.

    Highlights

    • • AWS Auto Scaling • EC2 Instances • Application Load Balancer • High Availability • Multi-AZ Deployment • Cost Optimization • Scalability • Performance Management
    • • Resource Utilization • Elastic Load Balancing • Cloud Infrastructure • Fault Tolerance • Automated Scaling • Operational Efficiency
    • • Cloud Cost Management • Infrastructure as Code • DevOps Practices • AWS Best Practices • Continuous Deployment • Resource Monitoring

    Details

    Delivery method

    Deployed on AWS

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