Events are fixed records that show a state change has occurred. They cannot be changed or deleted and appear in order of creation. Any time a state change occurs, an event notification is published that can be acted on using business logic. A mouse click is a simple example of an event, as is a password reset query.
Event-driven architecture is a system of microservices that communicate information through the consumption and production of events. Event-driven architecture (EDA) simplifies complex event processing by sending an event notification to the most appropriate event handler. The data contained in an event stream can be stored indefinitely, meaning an event consumer can access an event log from the beginning.
Data analysis plays a major role in key business decisions as analytics provide insight into a business’s scalability in alignment with company strategy and business goals. Cybersecurity is essential to any business that relies on large amounts of sensitive data. Cyber attacks are negative incoming events that many businesses aren’t properly protected against.
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The basics of event-driven architecture up-close.
There are three components of event-driven architecture – event producer or event generator, event consumer, and event broker. EDA is a software application designed to detect events and state change in the event channel in real-time. It replaces traditional request-response architecture with a continuous event stream that responds to events in real-time. Digital leaders are learning to master resiliency, scalability, and speed to become more competitive in an ever-changing digital landscape by leveraging microservices and EDA.
EDA is run by events and designed to either respond to events or initiate an action in response to a state change. Event driven applications eliminate the traditional dependencies of service-oriented architecture to focus on real-time events as they happen. The event-driven architecture model prioritizes the importance of events and responding to them in real-time. The older events become, the less valuable they are to scalability which is why service-oriented and event-driven architecture is used in-tandem. Enterprise businesses typically have multiple event sources that send an event notification to one or more event consumers.
The common application and advantages of EDA.
EDA has several applications and valuable business advantages for users:
Real-Time Speed: EDA allows users to view real-time analytics and react quickly to state change. EDA is important to the creation and maintenance of real-time connections with event producers, event consumers, and external event sources.
Low Latency: EDA streamlines communication along the event channel, providing immediate access to real-time data while reducing latency to milliseconds.
Context-Informed Decision Making: real-time event processing aids the deployment of updated, mission-critical information that guides business decisions.
Big Data Scalability: EDA aids in the building of applications that increase scalability, that can handle massive amounts of data essential for analytics, and that offers flexibility to scale up and down as needed.
Reliable Operation: EDA ensures reliable communication and operation throughout the event channel to mitigate service downtime. Such resilience to failure protects a business from disruptive events that impact continuity.
The right EDA solution offers fault tolerance, low latency, and vertical and horizontal scalability. The more a business is present and connected to the flow of operations, the easier it is to respond in real-time to new events.