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Isn't it interesting that AWS and SAP advocate Internet of Things (IoT), yet their IoT offerings have literally nothing in common?
Lets zoom into this:
AWS - thanks to the amazing properties of large scale, global reach and a broad fleet of tailored services - a standard choice for any workload for the largest to the smallest companies.SAP - through the vast network of their customers deeply connected in the Enterprise, often running the core business backbone. Thanks to SAP HANA also offering a super high performing platform for Transactional and Analytical Processing in one combined.
Why should you think about a large scale cloud provider in the moment you hold a sensor in your hand?
Yes, cost is not on the list, even though a large scale cloud provider will also provide you with cost benefits if combined with a good solution architecture and operations.
In the following I will analyze a few options using which you can receive and process messages from your IoT device in SAP HANA.SAP HANA: As I mentioned last week in a side note, SAP HANA on AWS can process up to 2.2 million messages per second and still look good. Can SAP HANA on AWS also process 2 billion messages / second and continue to provide real time analytics? The short answer is yes, with the right solution architecture.
Below different AWS Options for receiving incoming messages from devices and processing them in SAP HANA. The AWS Monthly cost estimate is for a rate of 1 KB message per minute. (10x messages = 10x cost). Please note that regarding AWS cost the number of devices does not matter, only the number and size of the messages being send/received.
For sending messages to SAP HANA, Amazon Kinesis is clearly the best choice.
In this architecture the devices put messages directly into a Kinesis Stream.A Kinesis Shard is essentially a partition of the stream. A focus needs to be how to map Kinesis shards onto SAP HANA Hosts. SAP HANA partitioning appears to happen during insert execution. You will observe that the network is flooded with the HANA Hosts moving the records to the right host. I estimate that without this optimization you will only achieve 2 million messages per second if you have 3 x 2 TB RAM HANA Hosts with 10 Gbps (of 20) consumed for inbound processing. With optimization you will achieve more than 6 million messages. Accordingly you should bring the message to the right Kinesis Shard in the first place. Also Kinesis has a partitioning mechanism which you can control. Translating Kinesis Partitioning onto SAP HANA Table Partitioning is not trivial but possible.Without AWS IoT though you would need to realize this partitioning logic on the device. Obviously not a good approach. Naturally you only run into this situation with a scale out SAP HANA System.
With AWS IoT things are both more secure (sophisticated security options for an unsafe IoT world) as well as more comfortable thanks to the AWS IoT rule engine. Further on you can easily process the same message in different ways in parallel. In the diagram above we store incoming messages redundantly in Amazon S3. AWS IoT supports also logging requests to Cloud Watch Logs for log analytics, which is great both for developers as well as security teams.
The Hello World in IoT is the AWS IoT Button. In my case the path of the click message is:Button Click > AWS IoT > Amazon Kinesis > SAP HANA To enable the scenario I implemented a Kinesis-to-HANA adapter.
SAP HANA Studio perspective on the AWS IoT Button:
The IoT Latency column displays the latency in milliseconds from AWS IoT creating the Kinesis record and my Kinesis-to-HANA Adapter feeding that record into SAP HANA. I have not spend any time optimizing that latency, yet.
In 2013, when I considered starting a drone company, this was not something available in the market. A complete micro computer including Wifi measuring 20mm x 37mm (0.8" x 1.5"). That is the same size like the shift key on your laptop.
And while I am porting the experimental AWS SDK for Arduino to the Particle Photon platform, I recognize another value of AWS IoT: The IoT thing world develops with a speed that nobody can predict which chipset or which base boards will be relevant in 6 months from now. In the absence of a standard library for even such basic things like HTTPS, I do not want to estimate how much effort is being spend out there on getting existing libraries to work on a new chip/board. For IoT developers it is therefore of tremendous value if they have to deal with only one AWS Service instead of 60+. While IoT might not cover 60+ services, it allows to be one thing interface to the AWS Platform.
AWS itself is faced with a similar challenge. Which chips / boards should be supplied with SDKs when the thing world is evolving with such an enormous pace? If I look at recent releases by AWS then the road appears to go this way:
And now imagine you are not an AWS or Azure (who follows a similar approach) ...The discussion on what the IoT Cloud Platform of choice is/are, will be over long before the last machines are migrated to the cloud.
SAP HANA on AWS does not have a limit on number of devices and messages to be processed. AWS is already now the most common cloud platform for IoT. Running both in the same cloud provides you with
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