ADVSUS10-BP01 Optimize content moderation systems for sustainable operation
As content grows for organizations, optimizing content moderation systems can benefit sustainability-related key performance indicators (KPIs). Implement or build architectures that include efficient machine learning models, automated scaling, and optimized storage patterns.
Implementation guidance
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Use efficient machine learning models for content classification. Use AWS Inferentia chips when possible, for improved performance per watt.
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Implement batch processing for non-real-time moderation tasks.
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Configure regional content analysis to minimize data movement.
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Use caching strategies for frequently accessed moderation rules.
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Use energy-efficient computing resources, such as AWS Graviton, for moderation workloads.
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Implement automated scaling based on moderation demand using auto scaling rules and Amazon CloudWatch metrics.
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Optimize storage patterns for moderation results and audit trails. For workloads using Amazon S3, use Storage Lens for insights and recommendations to optimize storage use.
Key AWS services
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Amazon Rekognition
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AWS Inferentia
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Amazon SageMaker AI
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AWS Auto Scaling
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AWS CloudWatch
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Amazon ElastiCache
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Amazon S3 Storage Lens
Resources
