MIDACOST05-BP02 Implement dynamic resource provisioning
Enable automated resource scaling that matches manufacturing workload demands while optimizing costs. This includes implementing warm pools for faster scaling, considering application warm-up times, and aligning scaling policies with production schedules and peak processing times.
Desired outcome: Automated resource scaling that matches manufacturing workload demands while optimizing costs.
Common anti-patterns:
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Implementing automatic scaling without considering production schedule requirements
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Setting scaling thresholds without consulting manufacturing operations teams
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Using the same scaling policies for both production and non-production workloads
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Neglecting warm-up times for manufacturing applications when scaling
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Implementing aggressive scale-in policies that could impact production monitoring
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Not accounting for data retention requirements when scaling storage resources
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Ignoring the impact of scaling on integrated manufacturing systems
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Setting up dynamic provisioning without consideration for compliance requirements
Benefits of establishing this best practice:
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Optimized resource utilization
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Reduced manual intervention
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Cost-efficient scaling
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Improved responsiveness
Level of risk exposed if this best practice is not established: Medium
Implementation guidance
Before you begin, you will need:
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Detailed production schedules and patterns
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Peak resource usage data by workload type
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System warm-up and response time requirements
Key decisions needed:
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Scaling thresholds for different manufacturing workloads
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Resource retention periods based on production needs
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Performance impact limits for critical systems
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Cost optimization targets by workload type
Design your manufacturing workloads to automatically adjust resource provisioning based on current demand and production schedules. Implement a data-driven approach that correlates IT resource needs with manufacturing operations, providing appropriate safeguards for critical production systems and consideration for startup times and warm pools.
Implementation steps
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Define scaling metrics:
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Production demand indicators
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Resource utilization thresholds
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Cost constraints
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Configure auto scaling policies:
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Scale-out conditions
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Scale-in conditions
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Cool-down periods
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Implement monitoring.
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Set up cost tracking.
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Perform regular policy review and optimization.
Key AWS services
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AWS Auto Scaling
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Amazon EC2 Auto Scaling
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AWS Lambda
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Amazon CloudWatch
Resources
Related documents:
