uplyst.
Apache Kafka integration
Connect Kafka event streams with customers, transactions and assets in Uplyst. Give teams the business context to understand a change and act on it.
Connect events to your business model
Kafka captures changes across applications and operational systems. Uplyst connects those events with a shared model of your business, linking an order update, payment or equipment observation to the entities and processes it affects.
The integration is scoped to approved topics and source access. Event identifiers, timestamps and source positions provide the context needed to relate each change to records from ERP, CRM and other enterprise systems.
- Kafka topicsOrders, payments and operational changes
- Uplyst intelligence layerSource events linked to customers, assets and transactions
- Decisions and workflowsInvestigate exceptions and coordinate a response
Topics, partitions and event order
Kafka organizes events into topics and orders records within each partition. Partition keys can keep related events together, such as updates to the same order or asset.
Business processes often span several topics and source systems. Source timestamps and entity identifiers help distinguish the sequence of business activity from the order in which events arrive.
Replay and processing history
Kafka consumers can replay records that remain available under the topic's retention and compaction settings. Consumer offsets track progress within a partition and support recovery when processing restarts.
Stable event identifiers connect replayed records to their existing business history. Workflow actions need their own duplicate handling so reading an event again does not repeat a payment, notification or operational instruction.
Access controlled by topic and consumer group.
Access to approved event streams
Kafka supports encrypted connections and workload authentication through TLS and supported SASL mechanisms. Topic and consumer group permissions define the records an integration can access.
Connection settings depend on your Kafka deployment, network and identity provider. Access is aligned with the source systems and business processes included in the integration.
Operational visibility
Consumer lag, event age and processing failures show where a stream needs attention. Viewed alongside business context, these signals help teams distinguish a delayed technical feed from a shipment, payment or production issue.
Typical applications include order tracking, payment exception analysis and asset monitoring across systems that publish events to Kafka.
Connect your systems
with Uplyst.
Talk with our team about the systems you use and the decisions they need to support.
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