Apache Kafka for Industrial IoT and Manufacturing

This publish explores use instances and architectures for processing knowledge in movement with Apache Kafka in Industrial IoT (IIoT) throughout verticals equivalent to automotive, vitality, metal manufacturing, oil&fuel, cybersecurity, delivery, logistics. Use instances embrace predictive upkeep, high quality assurance, monitor and monitor, real-time finding system (RTLS), asset monitoring, buyer 360, and extra. Examples embrace BMW, Bosch, Baader, Intel, Porsche, and Devon.

Apache Kafka for Industrial IoT and Manufacturing 4.0

Why Kafka Is a Key Piece of the Evolution for Industrial IoT and Manufacturing

Industrial IoT was a multitude of monolithic and proprietary applied sciences within the final many years. Modbus, Siemens S7, SCADA, and comparable “ideas” managed the trade. Distributors locked in enterprises by deliberately constructing incompatible merchandise with out open interfaces. These methods nonetheless run on Home windows XP or comparable non-supported outdated working methods and with out safety in thoughts.

Thankfully, that is fully altering. Apache Kafka and its ecosystem play a key function within the IIoT evolution. System integration and knowledge processing get an open structure with a scalable, dependable infrastructure.

I communicate to prospects on this trade each week throughout the globe. Very completely different challenges, use instances, and revolutionary concepts originate. I lined this subject rather a lot up to now, already.

Associated Content material about Kafka and Industrial IoT

Try my different associated weblog posts for Kafka in IIoT and Manufacturing. Study use instances and structure for deployments on the edge (i.e., exterior the info heart), the relation between Kafka and different IoT requirements like MQTT or OPC-UA, and find out how to construct a contemporary, open and scalable knowledge historian.

I wish to spotlight one publish as it’s superimportant for any dialogue round store flooring, PLCs, machines, robots, vehicles, and some other embedded methods: Kafka and different IT software program are NOT onerous real-time.

This publish right here “simply” shares my newest presentation on this subject, together with the slide deck and on-demand video recording. Earlier than we get there, let’s summarize the present eventualities for Kafka in Industrial IoT in a single concrete instance.

Necessities for Industrial IoT: In every single place, Full, Cloud-native!

Let’s check out one particular instance. The next image depicts the utilization of occasion streaming together with different OT and IT applied sciences within the delivery trade:

Apache Kafka in the Shipping Industry for Marine, Oil Transport, Vessel Fleet, Shipping Line, Drones

That is an attention-grabbing instance as a result of it exhibits many challenges and necessities of many Industrial IoT real-world eventualities throughout verticals:

  • In every single place: Industrial IoT shouldn’t be doable solely within the cloud. The sting is unattainable to keep away from as a result of manufacturing produces tangible items. Integration between the (typically disconnected) edge and the info heart is important for a lot of use instances.
  • Full: Industrial IoT is mission-critical. Stability with zero downtime, safety, and security are essential throughout verticals. The one practical choice is a strong, battle-tested enterprise-grade resolution to appreciate IIoT use instances.
  • Cloud-native: Automation, scalability, decoupled agile functions, and suppleness concerning applied sciences and merchandise are required for enterprises to remain aggressive. Not simply within the cloud, but in addition on the edge! Not all use instances required a crucial, scalable resolution, although. As an example, a single dealer for knowledge processing and storage is enough in a disconnected drone.

A novel worth of Kafka is that you should utilize one single know-how for scalable real-time messaging, storage and caching, steady stateless and stateful knowledge processing, and knowledge integration with the OT and IT world. That is particularly essential on the edge the place the {hardware} is constrained, and the community is proscribed. It’s a lot simpler to function and rather more cost-efficient to deploy one single infrastructure as a substitute of glue collectively a best-of-breed such as you typically do within the cloud.

With this introduction, let’s now share the slide deck and video recording to speak about all these factors in rather more element.

Slide Deck: Kafka for Industrial IoT and Manufacturing 4.0

Right here is the slide deck:

Video Recording: Join All of the Issues

Right here is the video recording:

Video - Apache Kafka for Industrial IoT and Manufacturing 4.0

 

Apache Kafka for an open, scalable, versatile IIoT Structure

Industrial IoT was a multitude of monolithic and proprietary applied sciences within the final many years. Thankfully, Apache Kafka is totally altering many industrial environments. An open structure with a scalable, dependable infrastructure modifications how methods are built-in and the way knowledge is processed sooner or later.

What are your experiences and plans in IIoT tasks? What use case and structure did you implement? Let’s join on LinkedIn and talk about it! Keep knowledgeable about new weblog posts by subscribing to my publication.


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