Author: Thierry Ciot
Thierry Ciot is a Software Architect on the Corticon Business Rule Management System. Ciot has gained broad experience in the development of products ranging from development tools to production monitoring systems. He is now focusing on bringing Business Rule Management to Javascript and in particular to the serverless world where Corticon will shine. He holds two patents in the memory management space.
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What Are Composite Applications?
Composite applications use a variety of existing services to provide a unique set of information for users, often in real time. -
Business Rules with GraphQL
Business processes are complex and for many decision services it is not desirable or practical to pass all the data required for all conditions as part of the input payload. This blog explores how we can dynamically retrieve data on demand using GraphQL. -
Real-Time Business Decisions with Azure Event Hubs
Corticon.js is a no-code rules engine that empowers business specialists to create, test and maintain complex business logic without having to directly deal with Event Hub and Azure Function technologies. -
Two Design Choices for Your MarkLogic Decision Services
This blog explores two typical design patterns used by many Progress MarkLogic customers who leverage business rules-driven decision services. -
No-Code Business Logic Development for MarkLogic Database
Learn how a no-code solution for developing your Progress MarkLogic business logic provides tremendous value. -
Choices When Architecting and Designing Decision Services
Architecting and designing decision services for any size projects with native support for cloud, multi-cloud or on premise. -
Introduction to Service Call Out in Corticon.js V2.0
Expanding decision services with custom run-time code. -
Delivering Relevant Notifications When Monitoring Complex Systems and Applications
Corticon.js helps deliver relevant notifications in complex systems and applications monitoring. -
Main Concepts for Dynamic Forms Modeling
Main concepts to understand when developing the model of rules driven dynamic forms.
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