Developer resources
Selected event sessions
Amazon Kinesis Data Analytics now supports Apache Flink-based stream processing applications, in addition to the previously supported SQL. Now, you can use your own Java or Scala code in Amazon Kinesis Data Analytics to build sophisticated streaming applications.
Our customer Autodesk joins us to describe their architecture and best practices for real-time metrics generation and analytics using Amazon Kinesis and Amazon Elasticsearch Service.
A presentation at the Flink Forward San Francisco 2020 event that describes how Amazon Kinesis Data Analytics monitors your Apache Flink applications for availability. This includes how to automatically categorize errors and intervening to restore application availability.
In this session, we show you how to build an entire stream processing pipeline to collect, ingest, process, and emit streaming data using Amazon Kinesis Data Analytics, Amazon Kinesis Data Firehose, and Amazon Kinesis Data Streams.
Blog posts
We have a rich set of blog articles that provide use case and best practices guidance to help you get the most out of Amazon Kinesis. Access our full list of blog articles through the resources below.
Read more Amazon Kinesis articles on the AWS News Blog.
Learn about best practices, feature capabilities, and customer use cases on the AWS Big Data Blog.
Read more blog articles about Amazon Kinesis on the AWS Databases Blog.
Get started with Amazon Kinesis Data Analytics
Learn how to use Amazon Kinesis Data Analytics in the step-by-step guide for SQL and Apache Flink.
Build your streaming application from the Amazon Kinesis Data Analytics console.