CMA CGM

Needs

CMA CGM embarked on a major infrastructure transformation to migrate its extensive application landscape (approximately 1,700 applications) from three on-premise data centres to AWS. This strategic move aimed to enhance agility, scalability, and operational efficiency. The project required a structured approach to application review, the development of numerous infrastructure design patterns, rigorous financial and cost model rationalisation, modernisation of documentation practices, and a strategic plan for database migration and optimisation.

Solution

We supported the large-scale migration of 1,700 applications from on-premise data centres (Marseille, Aix-en-Provence, Paris) to AWS (Dublin region). We developed and implemented around 120 distinct infrastructure design patterns across various technology domains. For cost rationalisation and management, CMA CGM used AWS native tools (AWS Cost Explorer, AWS Budgets, AWS Trusted Advisor) alongside a third-party cloud financial management platform. We enhanced HOPEX for comprehensive infrastructure documentation, and modernised High-Level Designs (HLDs) and Low-Level Designs (LLDs) using Confluence, replacing traditional Word and PowerPoint documents. We reviewed and updated ServiceNow for accurate infrastructure and software inventory management. A key part of the solution was qualifying design patterns for database migrations, including Oracle Exadata Cloud at Customer (ExaCC) to services such as Amazon RDS for PostgreSQL, Amazon RDS for SQL Server, Amazon DocumentDB (for MongoDB workloads) and other suitable NoSQL solutions on AWS. We managed integration between migrated and new cloud services using AWS native integration services.

Achievements

• Large-Scale AWS Migration:
  Successfully reviewed 1,700 applications and migrated a significant portion from three on-premise data centres to the AWS Dublin region.

• Infrastructure Design Pattern Implementation:
  Developed and implemented approximately 120 robust and reusable infrastructure design patterns on AWS.

• Cost Model Rationalisation:
  Implemented effective cost management using a combination of AWS tools (AWS Cost Explorer, AWS Budgets) and a third-party FinOps platform for comprehensive visibility and control.

• Documentation Modernisation:
  Enhanced HOPEX for infrastructure architecture documentation and transitioned HLD/LLD to Confluence for collaborative and accessible documentation.

• Inventory Management Update:
  Reviewed and updated ServiceNow to ensure an accurate and current inventory of infrastructure and software assets in the cloud.

• Strategic Database Migration:
  Successfully qualified design patterns and executed migrations for various database technologies (Oracle ExaCC to PostgreSQL, MS SQL Server, MongoDB/DocumentDB) on AWS, optimising for performance and cost.

Benefits

• Enhanced Agility & Scalability:
  Leveraged AWS cloud capabilities for rapid scaling of resources and increased business agility.

• Operational Efficiency:
  Streamlined IT operations and management through standardised cloud infrastructure and modernised tooling.

• Optimised Cloud Spend:
  Achieved significant cost savings and better financial governance through comprehensive cost rationalisation and management tools.

• Improved Collaboration & Knowledge Management:
  Modernised documentation practices using Confluence led to better collaboration and accessibility of technical information.

• Future-Ready Infrastructure:
  Established a modern, scalable, and resilient infrastructure on AWS, prepared for future growth and innovation.

• Database Modernisation:
  Optimised database landscape for better performance, scalability, and cost-effectiveness using diverse AWS database services.

Planning a similar project?

Tell us about your SAP, cloud, data or AI challenge. We will reply within one business day.