LSCOST03-BP01 Align infrastructure capacity with R&D development stages
Design infrastructure that can adapt to changing requirements across different R&D phases while maintaining regulatory adherence and research integrity.
Desired outcome: An adaptive infrastructure framework that efficiently matches computational resources to R&D stage requirements, minimizing costs through automated scaling while improving regulatory adherence and maintaining research velocity across the development phases.
Level of risk exposed if this best practice is not established: Medium
Implementation guidance
To effectively optimize research and development (R&D) infrastructure costs across development stages, establish a clear framework for identifying and categorizing different R&D phases and their specific infrastructure requirements.
Create a resource mapping matrix that defines computational, storage, and processing needs for each phase. Implement automated scaling solutions that adjust infrastructure based on research phase triggers and actual usage patterns.
Establish monitoring and metrics to track resource utilization and costs across different stages. Verify that regulatory requirements are built into the infrastructure design from the start, with appropriate validation and documentation processes.
Implementation steps
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Document current infrastructure usage patterns across R&D phases and map regulatory requirements to each stage. Define key performance indicators and cost metrics, and establish baseline costs for each R&D phase. This comprehensive assessment provides a foundation for optimization efforts and maintains regulatory standards throughout the process.
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Create flexible templates for different R&D phase configurations, and design automated scaling triggers based on phase transitions. Implement robust monitoring and alerting systems, and develop cost allocation mechanisms. This design phase focuses on building a responsive and efficient infrastructure that can adapt to changing research needs while maintaining cost visibility.
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Deploy the phase-specific infrastructure templates and configure automated scaling policies. Implement resource tagging for detailed cost tracking and set up governance controls. This phase puts the design into action, verifying that the infrastructure can efficiently support various R&D stages while maintaining regulatory adherence.
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Continuously monitor resource utilization and costs, regularly reviewing and adjusting scaling thresholds. Use AWS right-sizing technologies such as AWS Compute Optimizer, AWS Cost Optimization Hub, and AWS Trusted Advisor to validate scaling policy implementations across each phase. Conduct periodic regulatory validations and pursue ongoing optimization based on usage patterns. These tools provide data-driven recommendations to optimize resource utilization, validate scaling configurations, and identify cost-saving opportunities. This ongoing process keeps the infrastructure efficient, cost-effective, and compatible as research needs evolve over time.
