Thank you Mathias for this. 

While looking around, I've stumbled upon Telegraf 
<https://github.com/influxdata/telegraf> (an agent for collecting, 
processing, aggregating, and writing metrics) that has a Kinesis input 
plugin and a Warp 10 outplut plugin 
<https://github.com/influxdata/telegraf/blob/release-1.15/plugins/outputs/warp10/README.md>.
 
If you have any comment on this solution, I'll happily hear it!

Thanks again!
Adam

On Friday, August 28, 2020 at 2:02:23 PM UTC+2 [email protected] wrote:

> Warp 10 has plugins for consuming data from an MQTT or Kafka message 
> broker, if such protocol is not an option for the data flowing through 
> Kinesis then maybe you can create a Kinesis plugin using the Java SDK (
> https://docs.aws.amazon.com/streams/latest/dev/developing-consumers-with-sdk.html),
>  
> it would probably be rather simple to do following the same logic present 
> in the MQTT or Kafka plugins.
>
> Kafka Plugin: https://github.com/senx/warp10-plugin-kafka
> MQTT Plugin: https://github.com/senx/warp10-plugin-mqtt
>
> On Thursday, August 27, 2020 at 10:59:11 PM UTC+2 [email protected] 
> wrote:
>
>> I have continued my research and unfortunately it appears Kinesis Data 
>> Firehose will not do the work as it is not process data in real time. It 
>> processes data every 60s which is not enough for my use case. 
>>
>> Still looking for a solution, if you have an idea please share! :)
>>
>> On Thursday, August 27, 2020 at 6:35:05 PM UTC+2 Adam Makhlouf wrote:
>>
>>> Hi everyone,
>>>
>>> I am considering using Warp 10 (standalone) in the AWS ecosystem on 2 
>>> EC2 instances (with datalog replication).
>>>
>>> I am getting sensor data from Kinesis Data Stream that I plan on 
>>> ingesting in Warp 10. I have found no reference on how that would work.
>>> I can see that Amazon Kinesis Data Firehose can now stream data to an 
>>> HTTP endpoint 
>>> <https://aws.amazon.com/blogs/big-data/stream-data-to-an-http-endpoint-with-amazon-kinesis-data-firehose/>.
>>>  
>>> Would that be a correct approach?
>>>
>>> Thanks for your help!
>>>
>>>
>>>
>>>
>>>

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