Application Observability & Kafka Monitoring for Smart Manufacturing
When a conveyor line stalls, an ERP order fails to sync, or a Kafka topic backs up between your MES and your warehouse system, your engineering team has minutes to find out why. Atatus gives you full-stack observability across your applications, APIs, and infrastructure. KLogic gives you purpose-built monitoring for the Kafka pipelines moving telemetry, orders, and shipment events between them.
Why Modern Manufacturing Requires Both Observability and Kafka Monitoring
Manufacturing and logistics platforms are no longer a single monolith running in a plant office. They're a mesh of MES, ERP, SCADA, WMS, and TMS systems, stitched together by microservices and increasingly by Kafka. Application monitoring alone only shows you half the picture.
Downtime stops the line
A slow API between your order system and your MES isn't an inconvenience. It's a stopped production line, a missed shipment window, or a warehouse pick that never gets released.
Systems are distributed by design
PLCs, industrial IoT sensors, cloud-native microservices, and Kubernetes clusters all report status independently. A single stalled Kafka partition can quietly delay every consumer downstream.
Inventory and shipment data must stay in sync
Order events, inventory events, and shipment events flow constantly between warehouse, fleet, and factory systems. When that event flow lags, the physical world and the system of record disagree.
Two Products, One Manufacturing Infrastructure Stack
Atatus and KLogic are built to be used together, one covers your applications and infrastructure, the other covers the Kafka backbone connecting them.
Full-Stack Observability & APM
End-to-end observability across your manufacturing applications, APIs, cloud services, containers, Kubernetes, distributed traces, and databases, the layer where MES, ERP, WMS, and TMS systems talk to each other.
- Application performance monitoring (APM) for order, inventory, and fulfillment services
- Distributed tracing across microservices connecting plant floor and cloud systems
- Infrastructure and Kubernetes monitoring across cloud-native manufacturing platforms
- Real user monitoring for driver, dispatcher, and warehouse-facing apps
- Database and API performance monitoring for MES/ERP integrations
Kafka Monitoring & Event Pipeline Intelligence
Purpose-built Kafka cluster monitoring for the event streams carrying machine telemetry, industrial IoT data, inventory events, order events, and shipment events across your supply chain.
- Consumer lag monitoring across order, inventory, and shipment topics
- Broker performance, partition health, and replication tracking
- Kafka Connect and Schema Registry monitoring for factory-to-cloud pipelines
- Event flow tracing for stalled, dropped, or out-of-order telemetry and IoT events
- Kafka administration and troubleshooting for high-throughput streaming pipelines
Why Teams Choose Atatus + KLogic
Traditional log management tools were built to store and search text. Atatus and KLogic are built to answer the question engineers actually have during an incident: what changed, where, and why, whether it happened in the application or in the Kafka pipeline connecting it.
Both products get engineers from alert to root cause fast, not just to a pile of collected logs.
Application events and Kafka events are correlated automatically, not left in separate dashboards.
Surfaces the likely root cause directly, turning a 45-minute investigation into minutes.
Filters and groups repetitive, low-signal alerts so engineers see what actually changed.
Keeps the signal-to-cost ratio favorable as event volume and production scale grow.
Less context-switching between application tooling and Kafka-specific tooling during incidents.
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Let's build something worth measuring
Evaluating full-stack observability or Kafka monitoring? Talk to the team building both, not a reseller of either.