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All Content tagged with Amazon Managed Service for Apache Flink
Build and run fully managed Apache Flink applications.
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I am unable to run successfully the "Getting Started" python example of AWS Managed Flink from the archive https://github.com/aws-samples/amazon-managed-service-for-apache-flink-examples.git on AWS....
I have a use case with
* 60 MB/sec data volume
* Near real time use cases of AI/Data science as downstream applications should be supported
* It's not a ultra-low latency use case, even 60 seconds of...
I have enabled **automatic system rollbacks** for an Apache Flink 1.20 application on Managed Service for Apache Flink, but it doesn't seem to trigger.
I deployed a new version with state changes, so...
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Hello,
I'm encountering an issue with my PyFlink processing pipeline that uses side output. The pipeline works cor...
Hello!
I have a system design / architecture problem.
Context:
The ultimate goal is to ingest battery data from an MQTT broker -> process this data to keep track of each data points state (charging,...
I am using Kinesis Studio Notebooks currently, with Zeppelin version 1.15.2 and very happy with this function. I can build app and deploy to Kinesis app after that. However, the currently Zeppelin ver...
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published 4 months ago2 votes386 views
This article aims to explore an innovative architectural approach that combines real-time data streaming with generative AI, specifically Retrieval Augmented Generation (RAG), to create a cutting-edge...
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published 6 months ago0 votes168 views
Don't miss us live on [Twitch.tv](https://bit.ly/4anH9WR) on Monday, November 25th to learn how you can Build Next-Gen Data Platforms using Apache Iceberg.
I have a simple python code of Flink. I am consuming the data from the kafka and then sinking it to opensearch. I have used state and timers for this which is working fine in my local machine.
I am ...
I have an Apache Flink application for 1.19 runtime with S3 integration. I use flink-s3-fs-hadoop-1.19.1.jar for sending files to S3.
JVM version 11.
Flink version 1.19
However, on starting this app ...
When performing a checkpoint in flink, I get the following error
AccessDenied: 27ee2b74c7eed5431eb45d1ab715fefe-991518841123-1727835091122/: User: arn:aws:sts::607606922030:assumed-role/AWSKinesisAnal...
Is there a way to hide sensitive runtime properties in AWS Managed Apache Flink (Amazon Kinesis Data Analytics)? They are currently displayed in plain text in the AWS console. Flink supposedly support...