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DynamoDB is a powerful NoSQL database service on AWS, known for its scalability and performance. However, without proper optimization, costs can escalate quickly. Below are key strategies to reduce DynamoDB expenses while maintaining efficiency.
You Should Know:
1. Optimize Provisioned Capacity
- Use Auto Scaling to adjust read/write capacity based on demand.
- Monitor CloudWatch Metrics (
ReadCapacityUnits,WriteCapacityUnits) to fine-tune provisioning.aws cloudwatch get-metric-statistics --namespace AWS/DynamoDB --metric-name ConsumedReadCapacityUnits --dimensions Name=TableName,Value=YourTableName --start-time 2023-10-01T00:00:00 --end-time 2023-10-02T00:00:00 --period 3600 --statistics Average
2. Use On-Demand Mode Wisely
- Switch to On-Demand if workload is unpredictable.
- Switch back to Provisioned for steady workloads to save costs.
aws dynamodb update-table --table-name YourTable --billing-mode PAY_PER_REQUEST
3. Leverage DynamoDB Accelerator (DAX)
- DAX reduces read costs by caching frequent queries.
aws dax create-cluster --cluster-name YourDAXCluster --node-type dax.r4.large --replication-factor 3 --iam-role-arn arn:aws:iam::123456789012:role/DAXAccessRole
4. Optimize Storage with TTL (Time-To-Live)
- Automatically delete expired items to reduce storage costs.
aws dynamodb update-time-to-live --table-name YourTable --time-to-live-specification "Enabled=true, AttributeName=ttl"
5. Use Efficient Data Types & Compression
- Store large attributes in S3 and reference them in DynamoDB.
- Use GZIP compression for large text data.
- Monitor & Analyze Costs with AWS Cost Explorer
aws ce get-cost-and-usage --time-period Start=2023-10-01,End=2023-10-31 --granularity MONTHLY --metrics "BlendedCost" --filter '{"Dimensions": {"Key": "SERVICE", "Values": ["Amazon DynamoDB"]}}'
What Undercode Say:
Optimizing DynamoDB costs requires a balance between performance and expenditure. Implementing Auto Scaling, DAX, TTL, and On-Demand switching can significantly reduce bills. Always monitor usage patterns and adjust configurations accordingly.
Expected Output:
- Reduced DynamoDB billing by 30-50% with proper capacity planning.
- Faster queries using DAX caching.
- Lower storage costs via TTL and S3 offloading.
For more details, check the original article:
Prediction:
As DynamoDB adoption grows, AWS may introduce more granular pricing tiers and AI-driven auto-optimization features to further reduce costs.
References:
Reported By: Darryl Ruggles – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
