Saturday , 24 February 2024

6 Ways Event Driven Architecture Re-Invents Cloud Data Management

Cloud computing allows companies and organizations to scale their computing capabilities far beyond just being able to convert image to PDF. So far, we have spent most of our programming in the cloud around current operations, data collection and analysis. Now, event driven architecture stands to re-invent how cloud computing manages data. In fact, this developing software architecture might be the link to artificial intelligence. If you are considering switching to an EDA, this post will help you make the quantum leap.

What Is EDA?

Also known as EDA, event driven architecture is software that is patterned based on events, rather than actions. The events are made of up emitters and consumers. These two pieces work together to trigger events and apply reactions based on those triggers. Managed by categories, middle-ware and second categories, the EDA is able to read and respond to events. Overall, it is an IT strategy to monitor, track and respond to events in a system.

Types Of EDA

There are two main types of event driven architecture. These two EDA variations are the mediator topology and the broker topology. Mediator EDA and Broker EDA differ in the areas of architecture characteristics and implementation strategies. This is not something that you have to worry about with things like Swiftstack. However, that is why it is crucial for your to understand the differences between these two. This will help you to identify which type of EDA solutions are best for your needs.

How EDA Is Different From SOA

Service-oriented architecture, or SOA is another software architecture that is based on services. The pattern spans across several services so that data can be managed in one system. It works using a request/reply function to collect data. However, the SOA can not detect or react to events. It is meant mainly for one-to-one communications and triggers. By contrast, EDA can do everything an SOA can do, with the added benefits of detecting events and reacting to them in live time.

Why Event Driven Architectures Will Work

Rather than collecting data and performing analysis, an EDA can identify events and reactions in live time. This yields greater insights for companies and organizations. Just imagine if this software was around during the invention camera history! As an admin, it will require more work for you. However, once the rules, triggers and response actions are created, the EDA will run more efficiently than a traditional SOA that requires manual identification and response. As a result, you can leverage better data management from an EDA.

How Cloud Computing Fuels EDA

As noted, cloud computing makes software capabilities scale-able. It also makes it more agile and flexible, available to be deployed readily. Using cloud computing, EDA can create unique, robust patterns and structures at a fraction of the in house costs. Furthermore, the cloud enables EDA’s to have full scalability. As your big data analytics requires more processing, the cloud provides the capacity.

Where’s The Next Step?

Event driven architectures could be the major leap to fully artificial intelligence. Rather than people reading data, gaining insights and making decisions, the software architectures will automate the entire process. In a sense, it has shifted the paradigm of who is in the drivers seat. As we move from SOA to EDA, the next iteration would be another form of artificial intelligence.

While many organizations are yet to leverage the opportunity of event driven architecture software, it will continue to grow within many industries. As admins, we must continue to create innovative, useful architecture patterns to manage events within our organizations. Moreover, using the cloud, we can create massive structures at scale, to monitor, identify and react to big data events. Then, it can be represented in digital storyboards. Eventually, we might not even have to create the rules and triggers ourselves either when combined with machine learning, a stepping stone to higher AI.

Image from

Leave a Reply

Your email address will not be published. Required fields are marked *


This site uses Akismet to reduce spam. Learn how your comment data is processed.

Scroll To Top