Crane Worldwide is a $3 billion 3PL (third-party logistics) company that moves goods around the world
They have over 150 offices in 30+ countries and 4,000 employees
Crane's goal was to fuel the pace of innovation and have a secure, reliable, and scalable infrastructure to better serve their customers
Why AWS?
Crane chose AWS as their primary cloud platform due to AWS's entrepreneurial DNA and ability to partner closely with Crane
Crane's core values of integrity, innovation, execution, partnership, and results aligned well with AWS
The Logistics Landscape
Crane deals with multiple modes of transport (air, ocean, ground), warehouses globally, complex customs/tariffs, and the need for real-time visibility and forecasting
Crane aims to keep a "human in the loop" for their AI/ML initiatives to leverage the expertise of their logistics professionals
Migration Strategy and Execution
Key success factors:
Ability to deploy via code (engineering-first approach)
Multi-region scalability and redundancy for business continuity
Modernization beyond just lift-and-shift
Execution approach:
Partnered with AWS Professional Services to train Crane's team and lead the initial migration
Transitioned to Crane leading the migration efforts with AWS in an advisory role
Leveraged managed services from AWS to optimize operations
Technical Approach
Landing Zone and Networking
Designed a secure, multi-account landing zone environment with centralized firewall control
Used AWS CloudWAN to simplify multi-cloud networking and connectivity, including to Azure
Leveraged AWS Local Zones to meet low-latency requirements for vendor applications
Application Migration and Modernization
Took a re-platforming approach rather than just lift-and-shift
Automated infrastructure and application deployments using Terraform
Enabled regional resiliency and the ability to fail over between regions
Innovation and Future Plans
Agentic AI
Developed AI "agents" to automate and optimize various logistics processes:
Ability to measure and manage infrastructure drift for improved security and reliability
Conclusion
Crane's multi-cloud migration to AWS was driven by a need for speed, reliability, and innovation
By partnering closely with AWS and taking a modernization-focused approach, Crane was able to transform their infrastructure and unlock new capabilities
Crane's use of Agentic AI and Amazon Kuiper satellite connectivity demonstrate their commitment to staying at the forefront of logistics technology
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