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Best Practices for Preventing Duplicate Journey Events in Event-Driven Integrations

  • 1.  Best Practices for Preventing Duplicate Journey Events in Event-Driven Integrations

    Posted 19 hours ago

    Hello community,

    We recently started using Journey Management events more heavily and noticed an issue with duplicated customer journey steps during asynchronous integrations.

    Scenario:

    • External system sends customer updates via API

    • Multiple retry attempts occur after timeout/network instability

    • Journey events are registered multiple times for the same business action

    This is creating noisy customer timelines and impacting downstream analytics.

    We are currently evaluating:

    • external idempotency keys

    • event deduplication

    • correlationId strategies

    Curious how others are handling idempotency and duplicate prevention in Journey Management integrations, especially in event-driven architectures.

    Are you solving this:

    • externally before sending to Genesys?

    • through middleware?

    • or using Journey event modeling patterns?

    #JourneyManagement
    #APIs


    #API/Integrations

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    Gabriel Garcia
    NA
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  • 2.  RE: Best Practices for Preventing Duplicate Journey Events in Event-Driven Integrations
    Best Answer

    Posted 19 hours ago

    Hi Gabriel,

    I would strongly recommend handling idempotency before the event reaches Genesys.

    In most scalable architectures, the best pattern is:

    • middleware/event gateway
    • idempotency validation layer
    • deduplication based on business correlation IDs

    Retry scenarios are extremely common in asynchronous systems, and Journey platforms usually assume the source system is responsible for event uniqueness.

    What has worked best in my projects:

    • immutable business event IDs
    • correlationId propagation
    • event hashing for replay detection
    • short-lived deduplication cache

    Trying to clean duplicates afterward becomes much harder operationally and impacts analytics consistency.

    Best Regards!



    ------------------------------
    Lilian Lira
    Services and Developer Manager
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