In this White Paper, we walk through the Event-Driven Architecture model, its pros and cons, and how this approach has become important within a Cloud-based context.

There is a reality we cannot ignore — change is the norm. Things are starting to happen in real-time and faster than ever before. Today, systems are more complex than they used to be, and the world is much more dynamic than decades ago, forcing us to adapt and be prepared for new challenges. Now, more than ever, business leaders are clamoring for digital operational excellence in a world context where digital acceleration is the name of the game.

We have come a long way in the world of web-based application development . In the beginning, web applications consisted of static HTML content that came from servers. Today, applications are much more complex and use multiple platforms, data centers, and even technologies.

When systems reach a high and critical level of dynamism, it is a key moment to update their architectures. This modern context has led system developers to adopt new architectural patterns and programming paradigms to allow interactions based on real-time events in order to be more agile and take advantage of technologies such as Cloud-native architectures with Microservices, Serverless computing, or container-based workloads.

The appropriate architecture pattern for this type of naturally dynamic and complex system is called Event-Driven Architecture (EDA). Even though the concept of EDA may not be new in the software development industry, it is becoming stronger once again, thanks to its flexibility and adaptability by using information in real-time . According to Gartner, event-sourced, real-time situational awareness is a required characteristic for 80% of digital business solutions. Additionally, 80% of new business ecosystems will require support for event processing.

This reality was accelerated by Covid-19, which pushed organizations to allow more remote, digital-first options. To enable this, organizations had to automate tasks and processes as well as orchestrate automation across functional areas. Modern systems aim to be developed faster and be highly scalable, available, and resilient. They are continually generating, collecting, and processing more and more data, and a considerable number of devices with smart chips must deal with the constant flow of events.

The following paper will offer you a brief description of the EDA model, its pros and cons, and how this approach has become important within a Cloud-based context.

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