关于“Introduction to Amazon Kinesis Firehose”的评价
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    关于“Introduction to Amazon Kinesis Firehose”的评价

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    amy l. · 评论over 7 years之前

    3

    Rajnish G. · 评论over 7 years之前

    Candi H. · 评论over 7 years之前

    1) The /etc/aws-kinesis/agent.json has configurations for both Kinesis Stream and Firehose. It is causing the Stream's part to fail because this lab didn't setup Stream; it only set up Firehose. Therefore, when "tail -f /var/log/aws-kinesis-agent/aws-kinesis-agent.log", all I see is a constant parade of (Stream) errors which is very misleading -- the Firehose part is actually working. 2) It would be beneficial to have some instructions to let the students browse the "cities" table in RedShift to see that the data actually reached RedShift. 3) The CloudWatch screen (step 59) doesn't match the instruction -- maybe the UI has changed?

    Vincent Y. · 评论over 7 years之前

    Emre Y. · 评论over 7 years之前

    Would have been nice to have included data transformation with Kinesis

    Scott F. · 评论over 7 years之前

    Aoyagi M. · 评论over 7 years之前

    Bryan F. · 评论over 7 years之前

    Agustin F. · 评论over 7 years之前

    Gavin B. · 评论over 7 years之前

    It was good, but I couldn't make Kinesis Agent to push data to Kinesis Firehose. I double check the region during the lab, but I could only see this error in the agent log: AAAA-MM-DD HH:33:13.004+0000 ip-xx-xx-xx-xx (sender-34) com.amazon.kinesis.streaming.agent.tailing.AsyncPublisher [ERROR] AsyncPublisher[kinesis:mystream:/tmp/app.log*]:RecordBuffer(id=2,records=67,bytes=4099) Retriable send error (com.amazonaws.services.kinesis.model.ResourceNotFoundException: Stream mystream under account xxxx not found. (Service: AmazonKinesis; Status Code: 400; Error Code: ResourceNotFoundException; Request ID: xxx)). Will retry.

    Develop D. · 评论over 7 years之前

    Martin T. · 评论over 7 years之前

    Agustin F. · 评论over 7 years之前

    William X. · 评论over 7 years之前

    This is very good.

    Jinjun S. · 评论over 7 years之前

    Roberto C. · 评论over 7 years之前

    Bit of a stretch to finish in 45 minutes if the data takes 15 minutes to propagate

    James O. · 评论over 7 years之前

    Thomas S. · 评论over 7 years之前

    Lilian H. · 评论over 7 years之前

    Claudio O. · 评论over 7 years之前

    This lab is well-explained and proportionate a great approach to the AWS tools.

    Daniel S. · 评论over 7 years之前

    Priscila S. · 评论over 7 years之前

    obrigado

    Paulo R. · 评论over 7 years之前

    Lilian H. · 评论over 7 years之前

    Glen T. · 评论over 7 years之前

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