Advances in architecture and computing technology have been pushing the value and impacts of events over the past few years. These have given rise to an important paradigm known as ‘event-driven microservices architecture’. Gartner defines microservices architecture as relatively complex than traditional architectures that help develop agile, scalable applications.
Even though its design is complex, proper implementation of microservices results in lowering costs, design time, runtime dependencies, and build time between users and services. For example, Gooru, with Blazeclan’s help in implementing a microservices architecture for their learning platform, optimized costs at the rate of 10% per month.
With the emergence of event-driven microservices architectures, developers frequently face the difficulty of transforming their existing monolithic applications. It is challenging for them to decide between developing new products or applications with the help of event-based frameworks. These frameworks allow them to orchestrate behaviour circling identification, utilization of events, and production along with responses.
What is the Role of Event-driven Architecture in Microservices?
Event-driven architecture is bridging the gaps of technology adoption. Reasons for using an event-driven architecture to achieve a successful implementation of microservices include
- Building Horizontal Scalability: Dependent on communicating state changes through applications using APIs, all events in an event-driven architecture are routed to a different microservice. This is done for processing events on distributed hardware instead of using construction methods of monolithic architecture that involve the deployment of the vertical stack. With this, building convoluted functionalities is facilitated, enabling real-time analytics and automation of software systems.
- Failures in Service Calls: Previously, the call stack of organizations used to run in a single procedure, however, with microservices, their reliability to handle the network chaos is multiplied. Depending only on synchronous services calls implies enormous impacts on IT systems through just a single failure.
- Transitioning the Core Programming Constructs: When a monolithic architecture is segregated, the consumer and producer of events are often in different microservices. One microservice’s capability of publishing events to the other is imperative for carrying forward the core programming constructs to the microservices architecture.
Why Use Event-Driven Microservices Architecture for Cloud-Native Applications?
Microservices are the architecture of choice for cloud-native application platforms. When businesses are event-driven, the paradigms must transition into their applications in microservices. The microservices must respond to the events and send them out. From the point of view of event-driven architecture, the microservices must be event producers even as being consumers for enforcing a robust decoupling procedure.
Event-driven architectures are expected to make room for application platforms. While developers build applications to interact with events, they produce as well as consume events via the event backbone. The event backbone is the component of the microservices mesh, which enables publish-and-subscribe communications while providing support to event-driven microservices.
Key Components of Event-Driven Microservices Architecture
- Event Processing: Event processing is the last layer of the event-driven microservices architecture, dedicated to performing specific processing in systems. It sends responses to the event generator. Moreover, it can trigger other events with event chains.
- Event Channel: The event channel is the layer just before event processing, wherein the propagation of events take place. It facilitates asynchronous processing of events, which are stored in queues.
- Event Generator: The event generator is the primary layer that senses actions and depicts these actions as event messages.
- Event Backbone: This shoulders the responsibility of sequencing, routing, and transmitting the events while providing APIs for processing streams of events.
To Conclude
The importance and value of data continue to grow higher. In the past, events were viewed merely as programming constructs within the monolith. However, currently, tremendous value is sought in the data that event streams transmit. Implementing event-driven microservices architecture can empower organizations to materialize data strategies successfully in real-time, thereby boosting their agility in delivery and extracting better business insights.