An environmental agency needs to ingest real-time air quality metrics from weather monitoring stations across a country. The frequency of data transmissions varies unpredictably based on weather events. The agency requires a serverless ingestion solution that automatically scales to handle traffic spikes and prevents data loss from write throttling, without requiring manual capacity planning or shard provisioning. Which AWS solution meets these requirements?
- AAmazon Kinesis Data Streams configured in Provisioned capacity mode with a static shard allocation
- Amazon Kinesis Data Streams configured in On-Demand capacity modeCevap
- CAmazon SQS standard queues to buffer the telemetry data under the assumption that message order is preserved
- DAmazon DynamoDB configured in Provisioned capacity mode to store raw metrics during peak events
Cevap
Amazon Kinesis Data Streams configured in On-Demand capacity mode
Amazon Kinesis Data Streams configured in On-Demand capacity mode is the correct choice because it automatically manages shard provisioning and scales capacity to accommodate the unpredictable, fluctuating data volume. This ensures high performance without manual administration or write throttling.
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Amazon Kinesis Data Streams On-Demand capacity mode automatically scales to accommodate unpredictable streaming data ingestion without manual shard management.
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