AWS Podcast
#619: Amazon Managed Service for Apache Flink
Sep 7, 2023
Amazon Managed Service for Apache Flink simplifies real-time streaming applications on AWS, with no server management or setup required. It offers sub-second latencies, seamless integrations, and event response in real-time. The chapter discussions cover the basics of Apache Flink, benefits of the service, deployment options, and recommendations for getting started.
15:49
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Quick takeaways
- Amazon Managed Service for Apache Flink simplifies the process of running real-time streaming applications by managing servers, clusters, and infrastructure, and providing seamless integration with data sources and destinations.
- Renaming Kinesis Data Analytics to Amazon Managed Service for Apache Flink highlights the fully managed Flink service, compatible with Apache Kafka and other data streams, expanding possibilities for customers to leverage Flink for real-time processing requirements.
Deep dives
Apache Flink: Real-time Processing and Stream Analytics
Apache Flink is an open-source distributed processing engine that enables real-time processing and analysis of data. Unlike batch processing, which runs jobs on a period, Flink processes data as it arrives, allowing for incremental computation and output. Common use cases for Apache Flink include ETL jobs, real-time analytics, and complex event processing. With Amazon managed service for Apache Flink, users can easily run Flink applications without having to manage the underlying clusters and configurations. The service provides a higher level of abstraction and offers seamless integrations with Apache Kafka, Amazon MSK, and other services.
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