Jarian Event BusIntegrationZS023000

Event bus and streaming platform

Jarian is Niadad's event bus and streaming platform that captures, routes and replays events across systems in real time.

Family
Integration
Owner
Niadad
Status
In development

Problem

Important changes (a transaction, a customer status update, a sensor reading) stay inside the source system, and others learn of them late through periodic polling. Data reaches analytics hours behind, and real-time reaction is impossible.

Platform overview

Jarian is Niadad's event-driven backbone: every system publishes its events, and consumers, from Darya to Bina and Bidar, subscribe independently. Events are kept with a defined schema and can be replayed from the beginning, so a new consumer or a data rebuild is always possible.

Key capabilities

Publish and subscribe

Decouples producers and consumers through named topics.

Durable log and replay

Stores events with configurable retention and allows replay from any point.

Schema registry

Versions the structure of every event so changes do not break consumers.

Stream processing

Filtering, enrichment, windowed aggregation and pattern detection on event streams.

Ingestion from sensors and devices

Receives IoT data over lightweight protocols and normalises it into standard streams.

Connectors

Ready-made connectors for databases (CDC), Darya, target systems and APIs.

Architecture

01

Event broker with distributed log

02

Schema registry and event contracts

03

Stream-processing engine

04

Device gateway and IoT protocols

05

Source and sink connectors

06

Stream monitoring and consumer lag

Integrations

Darya (streaming ingestion)
Payam (work queues)
Bina (vision events)
Bidar (incidents and monitoring)
IoT sensors and controllers (MQTT)
Databases via CDC

Use cases

Streaming farm sensor data
Vision events from smart parking
Synchronising customer changes across systems
Real-time feed into the data lake
Real-time pattern detection and alerts

Let's build together.

If your organisation, bank or industry is ready to turn data into decisions, start the conversation here.