AWS Solutions: Real-Time IoT Device Monitoring with Kinesis Data Analytics
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День томуMonitoring IoT devices in real-time can provide valuable insight that can help you maintain the reliability, availability, and performance of your IoT devices. You can track time series data on device connectivity and activity. This insight can help you react quickly to changing conditions and emerging situations. aws.amazon.com/solutions/real...
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@sozakar 4 роки тому
It would be more helpful if you explain on a business use-case example...
@B1FREQUENCY 4 роки тому
Great Video! So Kinesis Data Analysis In A Way Comes over and Around The Projected Messages
@Nick-oz1ex Рік тому
Excellent, wonderful, absolutely!
@samjones4327 9 місяців тому
Thank you for sharing this architecture!! It was explained so simply and thoroughly! I'm an AWS student and I understood it with ease! I always enjoy these videos!! Thanks again! Cheers!!!
@amazonwebservices 9 місяців тому
It's our pleasure! 😀 🙌 💻
@vd.se.17 Рік тому
This is a great architecture overview, I am curious to know why, Why for raw data storage(s3) you use the Kinesis firehose?, Can't we send the data directly from IoT core to S3 via additional IOT action?
@ZuyangLiu Рік тому
If you send data directly from IoT core to S3, each message from every device will be one object in S3. With firehose, you can batch them together.
@vd.se.17 Рік тому
@@ZuyangLiu Thanks.
@a0um 4 роки тому
Wouldn’t it be better to write the raw events to Kinesis first and then store them to S3 via some Kinesis consumer?
@jrapp654 3 роки тому
My thoughts exactly. Same with the second Kinesis stream. The data analytics pushes to that and then another lambda separately. You could just connect the lambda to the kinesis
@ashokkumarsivasankaran5428 3 роки тому
Yes. Raw data comes from IoT core to Kinesis Firehose. Since Kinesis Firehose can directly deliver it to S3, Kinesis consumer is not necessary. KCL will add additional infrastructure to support
@ITech2005 2 роки тому
He stated that they do/could use transforms at the kinesis analytics stage. That means data leaving the service would be processed and no longer available to store as raw data.
@ajinkyathorawat9814 Рік тому
helpful! thanks
@awssupport Рік тому
Glad you found the video helpful, Ajinkya! 😊 ^KS
@ozycozy9706 Рік тому
I wonder if I can do this with appsync? Web app pulling data every some second is bed solution for real time.
@steveb7600 2 роки тому
I don't see the point of the second data firehose, Kinesis Data analytics should be able to write processed data to the data lake on S3 directly without needing another firehose for ingest or queuing.
@alexandrugunescu4585 Рік тому
You need it for Lambda too
@problemsolvingwithpython2291 2 роки тому
why not use kinesis data stream instead of kinesis firehose at the beginning since we're not doing any processing? and when kinesis data stream is real time unlike kinesis firehose.
@sanju_sarkar 2 роки тому
Kinesis Data Firehose can push data directly to S3 which Data Stream cannot, hence the choice
@iborovkov Рік тому
3 minutes in and a dozen services and I still have zero idea what you guys actually did with those temperature data points
@peaceandfood7952 Рік тому
Display them on a Webserver on the right side
@theefamiliar3497 2 роки тому
That's quite shallow
@vjkumk 2 роки тому
the guy in blue t-shirt acts like an intern.
@djmjr77 3 роки тому
Second guy completely useless ...
3 роки тому
'yeah, absolutely'
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