Amazon Managed Service for Apache Flink のアイコン

Amazon Managed Service for Apache Flink Specialized2016年〜

A managed stream processing service for running Apache Flink applications

About 2 min read

What It Does

Amazon Managed Service for Apache Flink is a fully managed service for running Apache Flink applications. It ingests data in real time from Kinesis Data Streams, MSK (Kafka), S3, and other sources, and performs transformation, aggregation, and analysis using SQL or Java/Python. It supports stateful stream processing and event-time-based windowing.

Use Cases

Used for real-time log analysis, IoT sensor data stream processing, clickstream analysis, real-time pattern matching for fraud detection, and real-time ETL pipelines.

Everyday Analogy

Think of it like a quality inspection line on a conveyor belt. Products (data) flowing by are inspected (transformed, aggregated) in real time without stopping, and defective items (anomalous data) are detected and sorted.

What Is Managed Flink?

Amazon Managed Service for Apache Flink is a managed service for stream processing. Apache Flink is a stateful stream processing framework that provides event-time-based windowing, exactly-once semantics, and checkpoint-based fault recovery. Managed Flink handles the building, operation, and scaling of Flink clusters.

Flink SQL and Applications

With Flink SQL, you can write stream processing in SQL. Express SELECT, JOIN, GROUP BY, window functions, and more against streaming data in SQL to perform real-time aggregation and filtering. For more complex processing, use the Java or Python Flink API. Upload your application JAR file to S3 and run it. For practical tips on using Flink SQL and applications, related books (Amazon) are also a helpful resource.

Getting Started

Create an application in the Managed Flink console and select a runtime (SQL, Java, Python). Configure the input source (Kinesis Data Streams, MSK) and output destination (S3, Kinesis, OpenSearch). For Flink SQL, you can interactively develop and test queries in the Studio notebook.

Things to Watch Out For

  • Billed hourly per KPU (Kinesis Processing Unit). Since it runs continuously, Glue is more cost-effective for batch processing
  • For simple stream processing, Kinesis Data Streams + Lambda is a simpler architecture. Flink is better suited for complex stateful processing
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