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platformEnterprise intelligence for the way you work.

Uplyst connects operational data, business relationships and real time events to support decisions across your enterprise.

integrationsConnect your enterprise systems.

Explore Uplyst integrations across business applications, data platforms, databases, event streams and industrial systems.

DocumentationTechnical guides for connected systems

Guides to enterprise architecture, semantic models, integration contracts, security and operations.

resourcesEnterprise intelligence in practice

Architecture, integration and governance guidance for connecting enterprise data with operational decisions.

Connect operational events to business impact.

A change in one system can matter across the business. Event processing brings the update together with its timing, source and dependencies so teams can assess the response.

Understand event timing
Delivery estimate revisedShipment update

Review a revised delivery estimate

Event identity
dispatch / EV-18
Business entity
Shipment SHIP-18
Business observation
24 Sep · 10:06 UTC
Receipt time
24 Sep · 10:07 UTC

New estimate: 24 Sep · 18:00 UTC

Connect to the order and agreement before preparing a response.

Know what changed and what it affects

A shipment update, invoice exception or equipment signal becomes useful when it is connected to the relevant order, account or asset. The event identifier distinguishes the message; the entity identifier connects successive changes to the same business record.

Uplyst combines real time event processing with semantic context and enterprise relationships. The source event provides evidence of a change; related records help explain its possible consequences.

An operations analyst reviews a timestamped event alongside its affected order and activity history.
A new event becomes useful when its timing, affected record and decision owner are visible together.
Event investigation connects a revised delivery estimate to its source, observation time, receipt time and affected commitment.
The shipment observation and the agreed customer commitment retain their own meaning and history.

Handle updates that arrive late or out of order

An event may arrive after the change it describes. Separate occurrence, receipt and processing times help explain a delayed sensor reading or order correction, even when newer information has already arrived.

Ordering guarantees depend on the source, transport and partitioning. Late or incomplete sequences need an agreed handling policy; no integration can assume every event arrives in order.

Event time and receipt time

SHIP-18 · all times UTC

Occurrence order

When the business observation happened.

  1. EV-17

    Arrival estimate: 24 Sep · 17:00 UTC

    Late arrival · reconcile before applying
  2. EV-18

    Arrival estimate: 24 Sep · 18:00 UTC

    Later observation · received first

Occurrence order follows the source timestamps. The later observation can arrive before the earlier one.

Receipt order

When the consumer received the evidence.

  1. EV-18

    Arrival estimate: 24 Sep · 18:00 UTC

    Occurred at 10:06 UTC
  2. EV-17

    Arrival estimate: 24 Sep · 17:00 UTC

    Occurred at 10:02 UTC

EV-18 arrives first. When the older EV-17 arrives later, its receipt time must not silently replace the newer business observation.

A repeated delivery

EV-17 · received again at

Repeated delivery · same source and event identity. The observation still occurred at 10:02 UTC, with an arrival estimate of 24 Sep · 17:00 UTC.

Define how consumers handle late, repeated and corrected observations before applying them to a business record.

Manage retries without repeating actions

Uncertain acknowledgments can cause the same event to arrive more than once. Stable event identifiers and recorded processing decisions help prevent duplicate business effects. Actions need to be idempotent where their semantics allow it.

Temporary delivery failures, invalid messages and unavailable dependencies need different recovery paths. Diagnostic records support investigation while sensitive payloads remain protected.

Manage retries without repeating actions
ConditionDesign question
Repeated eventWhich identity prevents a repeated business effect?
Late eventShould it revise state or trigger review?
Invalid payloadWho owns correction and safe replay?
Unavailable dependencyWhen should retry stop or escalate?

Maintain clear event contracts

Consumers depend on a defined envelope, payload schema and compatibility rules. CloudEvents provides a common format for event context; the business meaning and permission to act still come from the application and its owners.

An optional field and a changed interpretation of an amount have different consequences for consumers. Event producers and consumers share responsibility for managing those changes.

Event identity and payload

CloudEvents reference
Required context
id · source · specversion · type
Specification version
specversion: 1.0
Business entity
A separate subject or payload identifier
Optional time
Interpret according to the producer’s documented convention
Consumer contract
Payload meaning, compatibility and recovery policy

Carry an event through to a response

A timely response depends on correct interpretation as well as delivery speed. Duplicate, delayed or malformed events can change the available evidence and may require review before an action proceeds.

When processing is interrupted, operators need to see what completed, what remains uncertain and where recovery can start. That visibility matters alongside throughput and freshness.

Connect operational changes to the right response.

  • Connect changes to business entities and dependencies
  • Account for late or repeated events
  • Support traceable responses and recovery
Discuss your event requirements

Related capabilities and resources

Turn business context into a clear next step.Bring your enterprise systems together.Designing an event driven enterpriseData contracts that survive change