The Eventing & Workflow Platform Built on
Microsoft Azure PaaS

Prior to offering a solution to customers, Trynzic makes significant investments into the depth and breadth of canonical industry data models. While often unseen by users, this aspect of our software offering is key to achieving ongoing business agility and avoiding growing technical debt.

Businesses already have much invested in application integrations and don’t need yet another extract-transform-load (ETL) problem to manage ongoing. The Trynzic platform reduces this to a simple extract (E) problem. The rest is handled by platform features designed to work in concert with with our canonical models.

To contain TCO, agile businesses know to avoid creating layers upon layers of custom code. The Trynzic platform provides extensive parameterization of the data attributes of the device and process digital twins and exposes these in a robust yet intuitive event designer.

We could have stopped where most have with the detection of events within massive data streams. We didn’t. Detected events become cases within the Trynzic platform’s case management system, which in turn contains a workflow engine, workflow designer, and cross-application orchestration engine.

Consider five-minute intervals wherein millions of devices send dozens of data fields that need to be processed by a multitude of condition evaluations. Azure PaaS provides the required horsepower, but without smart software designs things can quickly become very expensive. The Trynzic platform employs a variety of patterns and approaches for data ingestion, data provisioning, and service design to leverage Azure’s scale in the most cost-effective way.