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Event Management & Streaming

Make every event useful. Keep every response accountable.

Connect applications, operational systems and analytics through event management and real-time data streaming. Pragma Edge helps design event-driven architectures, governed data pipelines and observable processing workflows.

CONNECTED OPERATING FLOW
01Event streaming architecture
02Real-time data pipelines
03Stream processing & governance
04Monitoring & recovery
PRAGMA EDGEEvent Management & StreamingContext. Ownership. Outcome.
Observe processing latency, consumer lag and failed handoffs. Define replay boundaries, duplicate handling and escalation so recovery does not repeat a consequential business action.
THE OPPORTUNITY

Start where it matters.

A shipment update, inventory movement or payment event can reach one system while the rest of the business waits. A dependable streaming architecture connects producers and consumers without making every application depend on the same release cycle. Design for schema changes, consumer backlog, duplicate delivery and recovery as carefully as the happy path.

CAPABILITY IN MOTION

Event Management & Streaming: from design to operation.

A shipment update, inventory movement or payment event can reach one system while the rest of the business waits. A dependable streaming architecture connects producers and consumers without making every application depend on the same release cycle. Design for schema changes, consumer backlog, duplicate delivery and recovery as carefully as the happy path.

01EVENT MANAGEMENT & STREAMING

Event streaming architecture

Define event producers, consumers, topics, partitioning and retention around the business flow. Plan throughput and availability against the workload rather than an assumed platform size.

Put it into practice
Select a business event, identify producers and consumers, and agree the latency and completion criteria.
EVENT MANAGEMENT & STREAMING / FROM DESIGN TO OPERATIONS

Turn business events into coordinated responses.

A shipment update, inventory movement or payment event can reach one system while the rest of the business waits. A dependable streaming architecture connects producers and consumers without making every application depend on the same release cycle. Design for schema changes, consumer backlog, duplicate delivery and recovery as carefully as the happy path.

CONNECTED OPERATING FLOW
01Map the event journey
02Build a governed stream
03Operate the complete flow
PRAGMA EDGEEvent Management & StreamingContext. Ownership. Outcome.
Monitor the producer-to-consumer journey, exercise replay procedures and assign responsibility for exceptions.
01

Map the event journey

Select a business event, identify producers and consumers, and agree the latency and completion criteria.

In this stage

Define event producers, consumers, topics, partitioning and retention around the business flow. Plan throughput and availability against the workload rather than an assumed platform size.

The handoff

An event contract: business meaning, schema, owner and retention needs.

02

Build a governed stream

Define schemas, access controls, retention and processing behavior. Validate delayed, duplicated and incompatible events before release.

In this stage

Connect application events and change data capture (CDC) to operational systems and analytics. Define source ownership, data contracts and the freshness each consumer actually needs.

The handoff

A producer-to-consumer flow with ordering, duplicate and replay decisions.

03

Operate the complete flow

Monitor the producer-to-consumer journey, exercise replay procedures and assign responsibility for exceptions.

In this stage

Filter, enrich and correlate events with explicit rules for event time, schema evolution and sensitive data. Make event discovery and permitted use understandable to participating teams.

The handoff

Visible consumer health and business completion milestones.

Keep the connection going.

EVENT MANAGEMENT / BUSINESS USE CASES

Make real-time data part of the operating workflow.

Inventory and order updates

Publish stock and fulfillment changes to commerce, warehouse and service applications. Use stable business identifiers and duplicate-handling rules so retries do not create a second order action.

Retail integration use cases →

Transaction and reconciliation events

Connect transaction-status changes to downstream checks and exception queues. Preserve the event reference, processing state and evidence needed for an authorized reviewer.

Financial services integration →

Asset and production signals

Enrich a condition event with its asset identity and operating context. Route it to maintenance review with safeguards for stale signals, repeated alerts and incomplete evidence.

Manufacturing event workflows →
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