This guide provides strategies and procedures for scaling the Sentinel system and optimizing costs as usage grows.
- Reserved Concurrency: Set limits for critical functions
- Provisioned Concurrency: Use for consistent performance
- Queue Management: Implement SQS for load distribution
# Enable DynamoDB auto-scaling
aws application-autoscaling register-scalable-target \
--service-namespace dynamodb \
--resource-id table/sentinel-articles-prod \
--scalable-dimension dynamodb:table:ReadCapacityUnits \
--min-capacity 5 \
--max-capacity 1000- Lambda Memory: Optimize based on performance testing
- DynamoDB Capacity: Right-size based on usage patterns
- OpenSearch: Scale capacity units based on query volume
- Monitor utilization metrics weekly
- Adjust Lambda memory allocation
- Optimize DynamoDB capacity modes
- Implement S3 lifecycle policies
- Purchase reserved capacity for predictable workloads
- Use Savings Plans for flexible compute usage
- Monitor usage patterns for optimization opportunities
# S3 lifecycle policy for cost optimization
aws s3api put-bucket-lifecycle-configuration \
--bucket sentinel-content-prod \
--lifecycle-configuration '{
"Rules": [
{
"ID": "CostOptimization",
"Status": "Enabled",
"Transitions": [
{"Days": 30, "StorageClass": "STANDARD_IA"},
{"Days": 90, "StorageClass": "GLACIER"}
]
}
]
}'- Set up billing alerts for budget thresholds
- Monitor daily costs with CloudWatch
- Use AWS Cost Explorer for trend analysis
- Implement cost allocation tags
- Track response times and error rates
- Monitor resource utilization
- Set up auto-scaling triggers
- Review capacity planning monthly