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    Modernize AIX Workloads with Kyndryl's innovative approach to AWS

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    Sold by: Kyndryl 
    Enterprises are looking at modernizations strategy to minimize, optimize, reduce lock-in and if possible, eliminate their Power based AIX estates because of the following triggers. 1. Achieve DC closures – Enterprises are consolidating and closing their DCs and power-based AIX systems represent a challenge in achieving this goal. 2. Legacy System Challenges: Many organizations using AIX face challenges such as rising maintenance costs, limited scalability, and difficulty in integrating with modern technologies. 3. Technical Debt: Large Enterprises have accumulated technical debt over a period in hardware and software due to the backlogs in refresh events 4. Improve new feature release timeline by adopting new cloud-based technologies including containers and microservices.

    Overview

    Kyndryl Application modernization on AWS Cloud for AIX involves modernizing legacy AIX (IBM's Unix operating system) based applications to the AWS, leveraging scalability, reliability, and cost-efficiency that AWS offer.

    Modernizing AIX applications to AWS represents a strategic initiative aimed at unlocking scalability, agility, and cost-efficiency for organizations reliant on legacy IBM AIX systems. Beginning with a thorough assessment of existing AIX environments, Kyndryl approach involves devising tailored migration strategies whether through rehosting, re-platforming, or rearchitecting to align with AWS’s robust suite of services. This transition not only ensures seamless integration with AWS’s global infrastructure but also enhances operational flexibility, reduces technical debt, enhances application security posture and reduces overhead costs associated with on-premises hardware and software maintenance.

    By leveraging Kyndryl’s extensive portfolio of migration and modernization and adhering to industry best practices, our methodology facilitates a smooth migration process, preserving application integrity and optimizing performance post-deployment. This transformation not only future-proofs IT environments but also empowers organizations to innovate faster and scale dynamically in response to evolving business demands, thereby driving sustained growth and competitiveness in the cloud era.

    This will detail out 5 possible paths of an on prem AIX application to AWS

    1. Migration Paths:

    • Migration of AIX based application to EC2.

    • Migration of AIX based application to EC2 + RDS.

    1. Modernization Paths:

    • Modernizing AIX based Online/Batch applications to ECS/EKS/AWS Lambda + RDS for DB2.

    • Modernization of AIX based Online/Batch applications to ECS/EKS/AWS Lambda + Aurora Postgres SQL.

    • Modernizing of AIX based Online/Batch applications to ROSA+ Aurora Postgres SQL.

    • Modernizing of AIX based Monolithic Online/Batch applications to Microservices+ Aurora Postgres SQL.

    Highlights

    • Seamlessly migrate AIX workloads including Java, WebSphere, and DB2 to AWS EC2 and Amazon RDS with minimal code changes. Leverage multi-AZ VPC architecture, secure VPN connectivity, and Route 53 DNS routing for high availability and resiliency. Utilize RDS HADR, Performance Insights, and CloudWatch monitoring to optimize database operations while reducing on-premises infrastructure costs.
    • Modernize AIX workloads by refactoring WebSphere applications to WebSphere Liberty on AWS ECS, EKS, Lambda, or ROSA. Containerize applications for portability and scalability, automate infrastructure provisioning using CloudFormation or Terraform, and migrate databases to RDS Db2 or Aurora PostgreSQL via DMS and SCT. Full observability is ensured using CloudWatch, Prometheus, and Grafana.
    • Transform monolithic AIX-based Tomcat applications into Spring Boot microservices deployed on ECS, EKS, or Lambda. Build modular ReactJS frontends, integrate backend APIs via API Gateway, and migrate databases to Aurora PostgreSQL with independent schemas. Achieve independent scaling, CI/CD automation, and cloud-native monitoring to ensure resilience, agility, and simplified maintenance while supporting rapid innovation.

    Details

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