Design principles - Supply Chain Lens

Design principles

Select your architecture based on performance data. Evaluate metrics across all architectural components, including system design patterns, resource type performance, and configuration benchmarks. Review architectural decisions quarterly to use new AWS Cloud capabilities. Monitor specific performance indicators against established baselines and implement corrections when metrics fall outside defined thresholds. Optimize performance through targeted techniques such as data compression, strategic caching, and balanced consistency models.

Following are the key design principles for performance efficiency for supply chain:

  • Use managed services and purpose-built applications: AWS provides several managed services like databases, compute, and storage and purpose-built application for business like AWS Supply Chain, which can assist your architecture in increasing the overall reliability, performance, security and quicker onboarding of workloads.

  • Democratize advanced technologies: Make advanced technology implementation easier for your team by delegating complex tasks to the cloud. Rather than asking your IT team to learn about hosting and running a new technology, consider consuming the technology as a service. For example, NoSQL databases, media transcoding, and AI/ML are all technologies that require specialized expertise. In the cloud, these technologies become services that your team can consume, allowing your team to focus on product development rather than resource provisioning and management.

  • Use serverless architectures: Serverless architectures remove the need for you to run and maintain physical servers for traditional compute activities. For example, serverless storage services can act as static websites (removing the need for web servers) and event services can host code. This removes the operational burden of managing physical servers and can lower transactional costs because managed services operate at cloud scale.

  • Experiment more often: With virtual and automated resources, you can quickly carry out comparative testing using different types of instances, storage or configurations.