Event architecture
Define and implement event architecture within the agreed scope, with dependencies, ownership and acceptance evidence made visible.
Real-Time Data Processing brings event-driven ingestion, low-latency processing and actionable operational signals into a coherent technical and operational approach. Juan Infotech starts with the real workflow and shapes the experience, information, controls and supporting technology around the result the organisation needs.
This service is designed for products responding to live events or transactions. Scope is prioritised around the most important journeys, existing systems, information boundaries and responsibilities required to achieve timely product and operational decisions.
The exact scope is agreed after discovery, with dependencies and responsibilities made visible before implementation.
Define and implement event architecture within the agreed scope, with dependencies, ownership and acceptance evidence made visible.
Define and implement stream processing within the agreed scope, with dependencies, ownership and acceptance evidence made visible.
Define and implement state and failure handling within the agreed scope, with dependencies, ownership and acceptance evidence made visible.
Define and implement monitoring and replay within the agreed scope, with dependencies, ownership and acceptance evidence made visible.
Each phase produces something reviewable before the next commitment is made.
Identify source systems, decision needs, data ownership and current quality constraints.
Define the movement, storage, transformation and presentation of trusted information.
Build the agreed data capabilities with repeatable validation and operational visibility.
Monitor quality, usage and performance, then prioritise the next valuable improvement.
Yes. Discovery reviews the current systems and identifies what should be retained, connected, improved or replaced before implementation is proposed.
Yes. Work can be organised into complete, reviewable outcomes so value, risk and learning remain visible throughout delivery.
Technology choices are based on the workflow, existing environment, security and support needs rather than a predetermined stack.