1/6/2024 0 Comments Multi counter on stream![]() Real-time metrics and reporting: You can extract metrics and generate reports from Kinesis data stream data in real time. For example, system and application logs can be continuously added to a data stream and be available for processing within seconds. The following are typical scenarios for using Kinesis Data Streams:Īccelerated log and data feed intake: Instead of waiting to batch the data, you can have your data producers push data to a Kinesis data stream as soon as the data is produced, preventing data loss in case of producer failure. Kinesis Data Streams is useful for rapidly moving data off data producers and then continuously processing the data, whether that means transforming it before emitting to a data store, running real-time metrics and analytics, or deriving more complex data streams for further processing. Q: What can I do with Amazon Kinesis Data Streams? You can choose provisioned mode if you want to provision and manage throughput on your own. By default, Kinesis Data Streams scales capacity automatically, freeing you from provisioning and managing capacity. In addition, Kinesis Data Streams synchronously replicates data across three Availability Zones, providing high availability and data durability. You don't have to worry about provisioning, deployment, or ongoing maintenance of hardware, software, or other services for your data streams. ![]() Q: What does Amazon Kinesis Data Streams manage on my behalf?Īmazon Kinesis Data Streams manages the infrastructure, storage, networking, and configuration needed to stream your data at the level of your data throughput. Within seconds, the data will be available for your applications to read and process from the stream. You can add various types of data such as clickstreams, application logs, and social media to a Kinesis data stream from hundreds of thousands of sources. With Amazon Kinesis Data Streams, you can build custom applications that process or analyze streaming data for specialized needs.
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