Technological Approach

Pantarey combines modern cloud architecture with established standards of process modeling. The platform was designed to manage processes and data coherently without requiring organizations to worry about infrastructure. Serverlessness, event-orientation, and open interfaces form the technical foundation.

Serverless AWS Architecture

Pantarey uses a fully serverless deployment in European AWS regions. Services like AWS Lambda, DynamoDB, and Step Functions provide computing power, data storage, and orchestration. Infrastructure is automatically scaled, monitored, and updated. This eliminates the need to operate servers or plan capacities.

BPMN Engine as Control Center

Process execution is based on a BPMN-compliant engine. Processes are modeled graphically, versioned, and executed at runtime. Gateways, events, and tasks form the logical building blocks. Configurable service tasks integrate external systems, while user tasks are assigned to roles. The focus is on transparency: every process instance can be tracked in real-time.

JSON Schema-Based Data Management

Data structures in Pantarey are defined via JSON Schema. This formal description ensures validity, provides documentation, and facilitates integration with other systems. Data objects are centrally managed and can be used by multiple processes. Changes to schemas are versioned so that impacts can be tested in a controlled manner.

Event-Based Communication

AWS EventBridge connects the platform components. Process events, data transformations, and integrations are published as events. Subscribing services react to them and trigger follow-up activities. This loose coupling allows new functions to be integrated without changing existing logic. At the same time, a complete event history is created for audits and analyses.

Analytics in the Data Lake

Process and data events are transferred to a data lake. There they are available for reporting, dashboards, and exploratory analyses. BI tools can directly access prepared datasets, while machine learning models use event streams for forecasting. Insights flow back into process design and promote continuous improvement.

Scalability and Maintenance-Free Operation

The serverless architecture ensures that Pantarey automatically handles load peaks. Tenants can grow independently without affecting each other. Since there are no servers to patch and updates are continuously rolled out, the platform remains low-maintenance. APIs and integration modules are provided in versioned form so that extensions remain plannable.

Conclusion

Pantarey combines serverless technologies, BPMN modeling, and event-based data management into a scalable platform. A robust technical foundation ensures adaptability and transparency equally.