![]() ![]() So, the timer is going to validate and decompose those claims and records and perform a Bulk Insert into the business entities for the claims. Note that each claim is a structure that can have multiple records inside. Then a timer, that is scheduled, is going to look into those claims. The API is going to insert each of the claims into a staging data. Let’s zoom in to the claims validation system: Automating Asynchronous Processes of a Claims Processing Portal: Suggested Architecture If you’re already familiarized with them, or you simply want to see the proposed architecture to improve the efficiency of this claim portal, you can skip to the next section. If you’re not an OutSystems developer or architect, you can still use this demo to automate parallel asynchronous processes with your preferred technology.īefore we get our hands dirty-I promise, we’re almost there-because I’m using OutSystems, I need to clarify a few terms and capabilities I’ll be using. Then, this system integrates with payment channels to where it exports the outcomes of the business validation.Īs I said in the beginning I’m going to explain how to design this system to run asynchronously using a low-code platform-OutSystems. Looking in greater detail, the validation system imports data to a business validation engine that includes a broker and business rules whose processes and logic are agnostic to external systems. This portal communicates with a claims validation system through an API. Here, we have the portal that policyholders and other entities use to insert and manage claim information. How to Design a System that Runs Asynchronously?ĭesigning a system that follows asynchronous programming principles can be quite complex, so I’m going to show you how to do it using a typical claims processing portal. Thus, your system releases valuable resources earlier and it’s ready to execute other processes that queued faster. In that case, the first two tasks can be executed asynchronously, but orders can only be executed when products are completed-so, they need to work synchronously.Īs a result, by applying parallel computing and asynchronous programming when dealing with independent tasks, you’re able to perform these tasks way faster than with synchronous execution because they’re executed at the same time. Now, imagine that you concluded that customers are independent of products, and vice-versa, but that to execute orders you need the information from products first-there you have it, a dependency. Define which needs to be executed as a consequence of other processes. Define which you can execute independently Identify the dependencies between processes When designing a system, here are a few considerations you need to have to define which programming models you should use: You should only use asynchronous programming if you’re dealing with independent tasks. Let’s explore when you should apply asynchronous programming and when sticking to synchronous execution is the best option. Although the benefits are aplenty, not all processes should follow parallelization principles and execute asynchronously. ![]() So, Should You Choose Asynchronous over Synchronous Programming? The biggest advantage of applying parallelization principles is that you can achieve the outcomes much faster and it makes your system easier to evolve and more resilient to failure. Parallelization is not just related to processes and capabilities but also with the way systems and software are designed. With parallelization, you can break what is normally processed sequentially, meaning break it into smaller pieces that can run independently and simultaneously. ![]() This way, with asynchronous programming you’re able to deal with multiple requests simultaneously, thus completing more tasks in a much shorter period of time.Īsynchronous programming is often related to parallelization, the art of performing independent tasks in parallel, that is achieved by using - you guessed it - asynchronous programming. In asynchronous operations, on the other hand, you can move to another task before the previous one finishes. In other words, you need to wait for a task to finish to move to the next one. In synchronous operations tasks are performed one at a time and only when one is completed, the following is unblocked. Synchronous?īefore we jump into the juicy stuff, let’s start by defining the difference between asynchronous and synchronous programming. What’s the Difference Between Asynchronous vs. How to Design a System that Runs Asynchronously?.What’s the Difference Between Asynchronous vs. ![]()
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