The implementation of rule based decision management applications often goes hand-in-hand with a migration to a microservices based architecture. A microservice contains a business capability which is made available through an API in a self-serve manner. Microservices have independent lifecycle, developers can build, test
and release each microservice independently form other microservices. Often a microservices architecture in the cloud is the ideal solution for a decision management system as each business decision can be encapsulated as a microservice which is available for any application. Advantages of microservices are the scalability, monitoring, possibility for continuous delivery and the ability to easily distribute maintenance to the right organisational teams.
The cloud experts at Decide4AI can help you to migrate to the cloud and manage your cloud infrastructure. We have many years of experience in Amazon AWS , Microsoft Azure, Google Cloud and IBM Cloud. Depending on the requirements you may choose a public, private or hybrid solution. Let us support you in defining a migration strategy and
the execution of the migration taking into account budget, security and risks. Choose what systems and functions to move to the cloud and which to keep on-premise. Discover what new capabilities you could add to boost system and business performance.
Our architects can support in choosing the right architecture for your planning & optimisation application. Cloud based, hybrid or on premise. A properly sized and designed IT architecture and infrastructure is the foundation for a scalable and high performing application.
A resource planning / optimisation system usually requires an intuitive, user friendly, easy to use and rich in functionality user interface. Both desktop and mobile. The Decide4AI User Experience team does have the capabilities to design great user interfaces and has experience in a broad variety of technologies.
Some examples of technologies applied by Decide4AI: