The classical example is booking a trip where you book a hotel, car and flight one after the other — and need to cancel bookings if something goes wrong. Actual real-life use cases are often even much more trivial.
Expectations and solutions for HIS/RIS/PACS dataflow and workflow
Modern architectures are all about decomposition, e. When you have many small components doing one thing well you are forced to connect the dots to implement real use cases. It basically allows invoking components or services, activities, functions in a certain sequence. Of course, it is a discipline on its own and deserves its own article, but I will only look at it from the workflow automation perspective today.
And then it is a great tool to extract business decisions and separate them from routing decisions:. In real-life scenarios the use cases are often combined.
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So, for example, you might want to fully automate your application processing classical business process automation with straight through processing. In order to do this you might have to invoke orchestrate several web services which means you do communication in distributed systems. Business rules could automatically decide the risk of fraud decision management. If there is a case of suspected fraud, it is routed to a clerk human task management. At this point I want to add a very quick side note: There are manifold options to setup your architecture to use a workflow engine.
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It does not mean that you have to introduce some central component which forces a low-code approach on you. Opening up the use cases for workflow automation typically raises the question: Can the respective tools really handle the load we will get if we use it for each and every service invocation? And yes, we start to see tools around that are able to handle this, Zeebe.
Zeebe, for example, reaches these new horizons of scalability by completely changing its internal architecture. A Zeebe broker is a distributed system on its own to handle replication and scale efficiently. It uses algorithms like event sourcing , append-only logs , single writer principle and Raft consensus. But it also gives you a taste of what I meant earlier in terms of changes coming to the way we develop software. All of this allows for horizontal scalability never seen before in a workflow engine.
5 Workflow Automation Use Cases You Might Not Have Considered
How can we handle activity chains that are complex, distributed, long-running and mission-critical? How can we handle them on a massive scale?
This problem has three critical dimensions: Software development, technical operations and business visibility. It is process management from top level to lower level. WfMS also automate redundant tasks and ensure that uncompleted tasks are followed up. For example, if the above design documents are now available as AutoCAD but the workflow requires them as Catia, then an automated process would implement the conversion prior to notifying the individual responsible for the next task.
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This is the concept of enterprise application integration. WfMS also appear in distributed IT environments such as grid computing or cloud computing. The aim of such systems is to manage the execution of various processes that may belong to the same application while in many cases they are used as a means to guarantee the offered quality of service QoS. WfMS may also be enhanced by using existing enterprise infrastructure such as Microsoft Outlook or Office From Wikipedia, the free encyclopedia. CWP Chronos Workflow Platform Digitize your paper-based, mission-critical or non-core business processes into automated workflows with our self-service and web-based Chronos Workflow Platform solution.
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