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Last modified by Erik Bakker on 2023/09/29 09:04
From version 19.1
edited by Erik Bakker
on 2023/09/11 14:05
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To version 16.1
edited by Erik Bakker
on 2023/09/11 13:52
Change comment: There is no comment for this version

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1 -Monitoring Partition Size and Consumer Lag
1 +Monitor partition size and consumer lag
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1 -Main.eMagiz Academy.Microlearnings.Advanced Level.Advanced monitoring Event Streaming.WebHome
1 +Main.eMagiz Academy.Microlearnings.Advanced Level.Data Handling.WebHome
Content
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1 1  {{container}}{{container layoutStyle="columns"}}(((
2 -This exercise will provide practical guidance on interpreting the event streaming statistics overview, specifically around partition size and consumer lag.
2 +This exercise will provide you with practical guidance on the interpretation of the event streaming statistics overview and specifically around partition size and consumer lag.
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4 4  Should you have any questions, please contact [[academy@emagiz.com>>mailto:academy@emagiz.com]].
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11 11  
12 12  == 2. Exercise ==
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14 -Navigate to Manage -> Monitoring -> Event Streaming Statistics for the model you selected to execute this exercise. Here, analyze the partition size and consumer lag on at least one topic.
14 +Navigate to Manage -> Monitoring -> Event Streaming Statistics for the model you have selected to execute this exercise with. In here analyze the partition size and consumer lag that you see on at least one topic.
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16 -{{info}}Given that the implementation of the prerequisites can differ, the results of what you see can also differ. We use example data that is part of our Sales Demo model to feed the Vehicle Event topic. An event processor subsequently determines whether a vehicle alert needs to be generated based on the type of event. This accounts for the difference in partition size between both topics. An event processor is a consumer group, and due to the high volume of messages placed on the Vehicle Event topic, we see that a consumer lag is reported.{{/info}}
16 +{{info}}Given that the implementation of the prerequisites can differ the results of what you see can also differ. In our case we use example data that is part of our Sales Demo model to feed the Vehicle Event topic. An event processor determines subsequently based on the type of event whether a vehicle alert needs to be generated. This accounts for the difference in partition size between both topics. The event processor itself is shown as a consumer group and we can conclude that due to the high volume of messages placed on the Vehicle Event topic we see that a consumer lag is reported.{{/info}}
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18 18  == 3. Solution ==
19 -In this short movie, you will find the workout of this exercise. Please take a moment to review this one and compare it to your solution.
19 +In this short movie, you will find the workout of this exercise. Take a moment to review this one and compare it to your solution.
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21 21  {{video attachment="advanced-monitoring-eventstreaming-partition-size-and-consumer-lag-exercise.mp4" reference="Main.Videos.Microlearning.WebHome"/}}
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