Category: Analytics
Service: Amazon Kinesis
Answer:
Amazon Kinesis offers two pricing models:
Pay-as-you-go: This model charges users based on the amount of data they process, and the number of operations they perform. This includes charges for data ingestion, data storage, and data egress.
Provisioned capacity: This model allows users to reserve a fixed amount of capacity for a specified period of time, at a discounted rate. This can help to reduce costs for organizations with predictable and consistent workloads.
To minimize costs while maximizing performance with Amazon Kinesis, there are several best practices to follow:
Use the appropriate level of stream sharding: Amazon Kinesis streams can be divided into multiple shards to allow for parallel processing of data. However, over-sharding can lead to increased costs, so it’s important to use the appropriate level of sharding for your workload.
Optimize data compression and serialization: Compressing and serializing data before sending it to Amazon Kinesis can reduce the amount of data that needs to be processed, and can therefore lower costs.
Use data retention policies: Amazon Kinesis allows you to set retention policies to automatically delete data after a specified period of time. This can help to reduce storage costs by only retaining data that is necessary for your business needs.
Monitor and optimize resource utilization: Use Amazon CloudWatch to monitor resource utilization and identify any areas where resources are being underutilized. This can help you to optimize your Kinesis deployment and reduce costs.
Choose the right AWS region: Deploy your Amazon Kinesis application in a region that is closest to your data sources and data consumers to minimize data transfer costs.
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