{"id":28477,"date":"2020-01-17T08:46:47","date_gmt":"2020-01-17T13:46:47","guid":{"rendered":"https:\/\/centricconsulting.com\/?p=28477"},"modified":"2021-12-15T00:17:06","modified_gmt":"2021-12-15T05:17:06","slug":"all-systems-go-using-microall-systems-go-how-event-driven-architecture-aids-in-your-software-designervices-and-event-driven-architecture-to-rocket-boost-your-software-design","status":"publish","type":"post","link":"https:\/\/centricconsulting.com\/blog\/all-systems-go-using-microall-systems-go-how-event-driven-architecture-aids-in-your-software-designervices-and-event-driven-architecture-to-rocket-boost-your-software-design\/","title":{"rendered":"All Systems Go: How Event-Driven Architecture Aids in Your Software Design"},"content":{"rendered":"

We discuss using Microservices and Event-Driven Architecture to rocket-boost your software design.<\/h2>\n
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Designing software systems that deliver value better, faster, and cheaper is a complex affair. So complex, in fact, some may call it rocket science.<\/h3>\n

Before a space shuttle can successfully lift-off, NASA engineers must ensure they prepare all systems, equipment, and parts for launch. The engines, orbiters, tanks, and boosters must all work well enough together to get the rocket to the sky but work independently enough so that one system failure does not compromise the safety of the crew.<\/p>\n

Organizations that integrate complex systems, and especially those moving more features to the Cloud<\/a>, face a similar dilemma. How do you build applications so that all components and services work together seamlessly without one change risking the integrity of the entire operation? How do you strike that delicate balance?<\/p>\n

Thankfully, you don\u2019t have to be a rocket scientist to build your application architecture in a way that maximizes efficiency but minimizes risk. By using microservices and an event-driven architecture approach for your software design, your applications will be ready for lift-off in no time.<\/strong><\/p>\n

Moonwalk Away from the Monolith<\/h2>\n

Just like with space travel, application architecture evolves continuously. In the early days, organizations would build one application that performed all functions in a system. This example is a monolithic design. These all-in-one systems, from the outset, are efficient, easy to write, and quick to implement. You deploy once and adjust on an as-needed basis. It\u2019s simple but not preemptive. If one point fails, then the entire deployment fails, too.<\/p>\n

\"Blog<\/a><\/p>\n

Monolith architecture may also seem simple to test. But as applications become more and more complex, so does testing them \u2013 the effort always increases in both time and cost.<\/strong> And as these applications progress in their lifecycles, they become much harder to change and riskier to deploy.<\/p>\n

Switching Orbits to SOA<\/h2>\n

What did organizations do to mitigate this? As they began to apply agile approaches<\/a> to their architecture designs, they found smaller features finished earlier. As deploying faster is a competitive advantage, this new approach made sense. So, to get applications off the ground more quickly, organizations took their all-in-one systems and broke them into smaller, logical subsystems.<\/p>\n

In other words, they adopted a service-oriented architecture (SOA). By treating each subsystem as its own application, software engineers can reduce the scope of work and amount of testable code into more manageable chunks.<\/p>\n

Still, SOA has disadvantages:<\/strong><\/p>\n