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.
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.
02EVENT MANAGEMENT & STREAMING
Real-time data pipelines
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.
Put it into practice
Define schemas, access controls, retention and processing behavior. Validate delayed, duplicated and incompatible events before release.
03EVENT MANAGEMENT & STREAMING
Stream processing & governance
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.
Put it into practice
Monitor the producer-to-consumer journey, exercise replay procedures and assign responsibility for exceptions.
04EVENT MANAGEMENT & STREAMING
Monitoring & recovery
Observe processing latency, consumer lag and failed handoffs. Define replay boundaries, duplicate handling and escalation so recovery does not repeat a consequential business action.
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.
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.
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.
Connect transaction-status changes to downstream checks and exception queues. Preserve the event reference, processing state and evidence needed for an authorized reviewer.
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.