Owning Outcomes in Semiconductor Commerce with 20% Lower Infrastructure Costs

About the Client

The client is a global semiconductor technology leader whose products power intelligent sensing, connectivity, and automation across automotive, industrial, Internet of Things (IoT), mobile, and communications markets. Its digital portal is more than a commerce front end. It supports a wide mix of external and internal users with secure access to product information, technical documentation, account services, and end-to-end supply chain workflows.

That made the portal operationally important, not just commercially useful. As the business expanded, the platform had to support always-on usage across regions while keeping pace with rising expectations for speed, reliability, and feature delivery. Modernization was no longer optional. The client needed a stronger cloud-ready foundation that could reduce complexity, improve efficiency, and support future growth without disrupting a business-critical user experience.

Business Challenges

The client was not modernizing a single application. It was trying to untangle a high-dependency digital estate that sat at the center of global commerce and supply chain activity.

The portal had to remain available 24/7 for users across regions, even as the business worked against a strict data center exit timeline and pushed for faster releases, lower costs, and stronger operational control.

That combination made this less of a migration project and more of a race to simplify complexity without compromising the user experience. 

• The migration had to happen on a hard timeline: The data center exit created a fixed window to assess, modernize, and move a large application landscape to AWS without slipping delivery. 
• Legacy applications were tightly bundled and hard to separate cleanly: Multiple monolithic applications were grouped within shared containers, which increased migration complexity and limited flexibility in how workloads could be modernized. 
• 280+ batch jobs needed modernization, not just relocation: Legacy shell script-based cron jobs had dependencies on third-party systems and had to be reworked carefully to support a more scalable cloud operating model. 
• Performance could not dip after migration: The client needed to maintain, and ideally improve, performance and throughput across a business-critical portal used around the clock. 
• Frequent releases made execution harder: Ongoing feature enhancements and scheduled releases complicated deployment planning, code merges, and environment stability. 
• 65 applications had to be assessed and right-sized for cloud deployment: The estate included varied workloads, technologies, and integration patterns, which made containerization and deployment decisions more complex. 
• Diverse technologies had to work as one cloud environment: The client needed to bring disconnected workflows and platforms into a more unified, secure, and manageable architecture on AWS. 

To move forward, the client needed to reduce cost, automate build and deployment processes, modernize batch jobs and application architecture, and improve availability, security, and user experience at scale. That was the real brief: create a cleaner foundation that could help the business move faster and own outcomes with less operational drag. 

LTM’s Solution

With LTM as its Business Creativity partner, the client approached this program as a controlled modernization effort rather than a lift-and-shift exercise. Over 12 months, LTM used an agile model to assess the application estate, modernize what needed it, and migrate the portal to AWS, supporting frequent releases, always-on operations, and future scale. 

• Assessment first, then modernization at the right level: LTM began with a detailed review of the application inventory, infrastructure footprint, and integration dependencies. That re-analysis helped determine how each workload should be containerized, modernized, or rehosted based on business need and technical fit. 
• Containerized application migration on AWS: The Java application estate was right-sized and containerized on Amazon Elastic Container Service (Amazon ECS) with AWS Fargate, using CPU and memory-based sizing to support more efficient deployment and scaling.
• Batch-job modernization based on business priority: LTM modernized legacy shell-script cron jobs by converting high- and medium-priority workloads into Python-based services deployed on AWS Lambda and Amazon ECS, orchestrated via Amazon EventBridge and AWS Step Functions. Lower-priority jobs were rehosted on Amazon Elastic Compute Cloud (Amazon EC2) to keep the program moving without overengineering every workload. 
• Database re-platforming for resilience and scale: The on-premises PostgreSQL database was re-platformed to Amazon Aurora to create a more available and scalable data layer for the portal. 
• Automated build and deployment workflows: LTM implemented automated pipelines using AWS CodeCatalyst, AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy. Infrastructure as Code (IaC) was used to automate end-to-end provisioning and deployment, while code-merge workflows were set up to support both frequent and scheduled releases. 
• Monitoring and operational visibility built into the platform: Amazon CloudWatch and AppDynamics were used to monitor application and infrastructure performance, giving teams better visibility into system behavior during and after migration. 
• Cross-functional execution to manage moving parts. Advisory, assessment, implementation, and go-live support teams worked together throughout the program. LTM also managed scope changes and technical issues through rapid prototyping, close stakeholder engagement, and continuous collaboration across teams. 

What made this work was the sequencing. LTM did not try to modernize everything the same way. It assessed where to containerize, where to re-platform, where to modernize deeply, and where to move pragmatically. That gave the client a cleaner path to modernize a complex portal without losing control of timelines, releases, or user experience.

Business Benefits

By helping the client own outcomes across modernization, release velocity, and operational resilience, LTM turned a high-pressure migration into a stronger digital foundation for global commerce and supply chain operations.

• ~20% yearly infrastructure cost savings: Lower run costs improved the economics of a large, business-critical portal landscape on AWS.
  
• ~30% lower operational effort: Automation and cloud-native services reduced manual overhead, helping teams spend less time on upkeep and more time on delivery.
  
• 50% faster time to market: Automated workflows accelerated the release of new applications and features, improving the business’s ability to respond faster.
  
• 99.9% availability across the portal environment: Containerization and serverless strategies improved resilience for external and internal users who depend on the platform around the clock.
  
• Seamless feature development and deployment: Automated build, merge, and deployment workflows supported real-time enhancement cycles with less operational friction.
  
• Performance and user experience maintained or improved after migration: The portal continued to deliver reliable throughput and usability even as the underlying architecture was modernized.
  
• Stronger confidence in security and reliability: External audits and client stakeholders responded positively to the platform’s improved control and stability.

Conclusion

This program gave the client a more dependable way to run a business-critical portal that sits at the intersection of semiconductor commerce, documentation, and supply chain execution.

The bigger shift is what comes next. With a more resilient and scalable cloud foundation in place, the client is better positioned to release faster, support global users with greater confidence, and continue modernizing without the burden of legacy complexity. That is how teams move from managing systems to owning outcomes.