The modern industrial systems are capable of registering thousands of events per second. These events include starting/stopping machines, changes in temperatures, levels of inventory and quality control inspections. But the problem is not in recording these events; rather, it is about responding to these events as fast as possible and in a smart manner.
That's how event-driven architecture (EDA) revolutionizes industrial software applications.
By using EDA, software applications respond immediately when an event happens rather than checking constantly for updates from each other. As a result, communication becomes faster and more scalable, and industrial operations become more responsive.
What is the Event-Driven Architecture?
EDA is a software pattern according to which different applications interact through events. An event is an action, e.g., completion of a production cycle by a machine, occurrence of abnormal vibration or shipping a package from the warehouse.
When an event happens, it is communicated to other services that require this information.
Why It Matters in Manufacturing
Manufacturing relies on instant decisions. Failure to process data instantly will impact productivity, product quality, and equipment efficiency.
Using an event-driven paradigm, companies can:
- Start maintenance procedures upon sensor detection of any anomaly.
- Automate inventory update upon completion of production.
- Inform quality assurance team members about failed inspection instantly.
- Synchronize schedules of production in several sites.
- Increase visibility of connected processes.
Thus, companies do not have to wait until updates are scheduled or done manually.
Key Technologies for EDA
Some key technologies allow for implementation of event-driven systems:
- Apache Kafka
- MQTT brokers
- RabbitMQ
- OPC UA
- Cloud-based messaging
- Serverless architecture
- Microservices
All these technologies help build reliable communication among manufacturing applications.
Advantages for Developers
EDA can help developers creating industrial platforms in many aspects:
- System scalability made easy
- Loosely coupled software
- Increased fault tolerance
- Data processing in real time
- Rapid deployment of features
- Simplification of Industrial IoT integration
It will become simpler to accommodate increasing sizes of manufacturing facilities without reworking whole systems.
Consider the following difficulties when implementing an event-driven architecture:
- Event ordering
- Duplicate events
- Distributed service monitoring
- Data consistency
- Security of the events
Reliable processing of events is vital for the stability of the operation.
Looking Forward
As Industry 4.0 develops further, real-time interaction between devices, applications, and cloud-based systems will be more critical than ever.
EDA is the perfect model that allows implementing AI, Industrial IoT, predictive analytics, and intelligent automation on a large scale.
Those who have an interest in enterprise AI, Industrial IoT, and digital transformation should learn more from the Aperture Venture Studio website.
Final Words
Implementing smart manufacturing systems does not consist in just connecting the necessary hardware.
EDA allows developing responsive and scalable applications which can work in today's industrial environment. With time, EDA knowledge will be useful for all software engineers in connected factories.
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