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    Migration of Kubernetes Workloads to AWS Infrastructure-[IN]

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    Our solution modernized the platform with a resilient, scalable architecture. Vertical Pod Autoscaler (VPA) dynamically optimized resource allocation per microservice for cost-efficient performance. Amazon EFS integrated with EKS provided elastic, high-availability shared storage, enhancing stability and operations. CloudWatch and CloudTrail enabled real time monitoring, logging, and security tracking. Jenkins CI CD pipelines with Bitbucket streamlined deployments, while Kubernetes auto scaling ensured workload flexibility. Namespaces, RBAC, and node-level auto scaling reinforced security, isolation, and cost optimization, delivering a robust, efficient, and easily manageable cloud native platform.

    Overview

    We help organizations modernize their platforms by delivering a resilient, scalable, and cost optimized cloud native architecture. By leveraging Kubernetes with Vertical Pod Autoscaler (VPA) and auto scaling policies, workloads dynamically adjust to demand, ensuring peak performance while reducing costs. Amazon EFS provides highly available, elastic storage across microservices, enhancing stability and operational efficiency. Integrated CI CD pipelines with Jenkins and Bitbucket accelerate development and deployment cycles, while CloudWatch and CloudTrail enable proactive monitoring, security, and compliance. Our approach strengthens isolation, governance, and resource efficiency, enabling clients to achieve a future ready, agile, and reliable infrastructure that supports business growth.

    Highlights

    • AWS-native integrations for scalable cloud management
    • Automated workflows and alerts for real time optimization
    • SOC 2 and ISO 27001 certified security posture

    Details

    Delivery method

    Deployed on AWS
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