![]() A record is composed of a sequence number, partition key, and data blob. If writes and reads exceed the shard limits, the producer and consumer applications will receive throttles, which can be handled through retries.Ī record is the unit of data stored in an Amazon Kinesis data stream. Consumers use shards for parallel data processing and for consuming data in the exact order in which they are stored. ![]() A producer puts data records into shards and a consumer gets data records from shards. The shard limits ensure predictable performance, making it easy to design and operate a highly reliable data streaming workflow. A shard supports 1 MB/second and 1,000 records per second for writes and 2 MB/second for reads. It serves as a base throughput unit of a Kinesis data stream. Q: What is a shard, producer, and consumer in Kinesis Data Streams?Ī shard has a sequence of data records in a stream. You can also build custom applications that run on Amazon Elastic Compute Cloud (EC2), Amazon Elastic Container Service (ECS), and Amazon Elastic Kubernetes Service (EKS) using either Amazon Kinesis API or Amazon Kinesis Client Library (KCL). You can then use AWS Lambda, Amazon Kinesis Data Analytics, or AWS Glue Streaming to quickly process data stored in Kinesis Data Streams. ![]() You can optionally send data from existing resources in AWS services such as Amazon DynamoDB, Amazon Aurora, Amazon CloudWatch, and AWS IoT Core. Then configure your data producers to continuously add data to your data stream. Q: How do I use Amazon Kinesis Data Streams?Īfter you sign up for AWS, you can start using Kinesis Data Streams by creating a Kinesis data stream through either the AWS Management Console or the CreateStream operation. Power event-driven applications: Quickly pair with AWS Lambda to respond or adjust to immediate occurrences within the event-driven applications in your environment, at any scale. You can then build applications using Amazon Lambda or Kinesis Data Analytics to continuously process the data, generate metrics, power live dashboards, and emit aggregated data into stores such as Amazon Simple Storage Service (S3). Log and event data collection: Collect log and event data from sources such as servers, desktops, and mobile devices. For example, you can add clickstreams to your Kinesis data stream and have your Kinesis application run analytics in real time, allowing you to gain insights from your data in minutes instead of hours or days. Real-time data analytics: With Kinesis Data Streams, you can run real-time streaming data analytics. For example, your Amazon Kinesis application can work on metrics and reporting for system and application logs as the data is streaming in, rather than waiting to receive data batches. 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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